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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychol.</journal-id>
<journal-title>Frontiers in Psychology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychol.</abbrev-journal-title>
<issn pub-type="epub">1664-1078</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyg.2020.559779</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Consumers Emotional Responses to Functional and Hedonic Products: A Neuroscience Research</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Bettiga</surname> <given-names>Debora</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/723099/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Bianchi</surname> <given-names>Anna M.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/38880/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Lamberti</surname> <given-names>Lucio</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/914073/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Noci</surname> <given-names>Giuliano</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1093338/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Management, Economics and Industrial Engineering, Politecnico di Milano</institution>, <addr-line>Milan</addr-line>, <country>Italy</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Electronics, Information and Bioengineering, Politecnico di Milano</institution>, <addr-line>Milan</addr-line>, <country>Italy</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Alexandra Wolf, Kyushu University, Japan</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Alba Garc&#x00ED;a-Milon, University of La Rioja, Spain; Renata Melinda Heilman, Babe&#x015F;-Bolyai University, Romania</p></fn>
<corresp id="c001">&#x002A;Correspondence: Debora Bettiga, <email>debora.bettiga@polimi.it</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Cognition, a section of the journal Frontiers in Psychology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>10</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="collection">
<year>2020</year>
</pub-date>
<volume>11</volume>
<elocation-id>559779</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>05</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>08</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2020 Bettiga, Bianchi, Lamberti and Noci.</copyright-statement>
<copyright-year>2020</copyright-year>
<copyright-holder>Bettiga, Bianchi, Lamberti and Noci</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>Over the years, researchers have enriched the postulation that hedonic products generate deeper emotional reactions and feelings in the consumer than functional products. However, recent research empirically proves that hedonic products are more affect-rich only for some consumer segments or for specific consumption contexts. We argue that such inconsistency may derive from the nature of the emotions assessed that is strictly dependent on their empirical measurement and not from the mere existence of emotions themselves. Self-reported methods of evaluating consumer experience, on which prior studies are grounded, only assess conscious emotions the consumer can recognize and report, but not unconscious feelings, happening without individual awareness. The present work takes this challenge by conducting a laboratory experiment in which subjects are exposed to both a utilitarian product and a hedonic product. Physiological measures have been adopted to investigate unconscious emotional responses and self-reported measures to assess conscious emotions toward the products. Specifically, physiological data regarding the subjects&#x2019; cardiac activity, respiratory activity, electrodermal activity, and cerebral activity have been collected and complemented with a survey. Results confirm that both functional and hedonic products generate emotional responses in consumers. Further, findings show that when a consumer is exposed to a functional product, the physiological emotional responses are disassociated from the self-reported ones. A diverse pattern is depicted for hedonic products. We suggest an alternative explanation for the apparent lack of affect-rich experiences elicited by functional products and the need to reconsider emotional responses for these products.</p>
</abstract>
<kwd-group>
<kwd>emotions</kwd>
<kwd>functional product</kwd>
<kwd>hedonic product</kwd>
<kwd>neuroscience</kwd>
<kwd>physiological signals</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="98"/>
<page-count count="13"/>
<word-count count="0"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1">
<title>Introduction</title>
<p>As a large body of research documents, consumers&#x2019; evaluations of new products are not purely utilitarian but dependent on the emotions and involvement elicited by the offer (<xref ref-type="bibr" rid="B8">Bagozzi et al., 1999</xref>; <xref ref-type="bibr" rid="B50">Kempf, 1999</xref>; <xref ref-type="bibr" rid="B5">Allen et al., 2005</xref>; <xref ref-type="bibr" rid="B41">Hassenzahl, 2018</xref>). Emotional responses constitute predictable and impactful drivers of decision making with regularities in the mechanisms through which they influence product evaluation (<xref ref-type="bibr" rid="B60">Lerner et al., 2015</xref>; <xref ref-type="bibr" rid="B17">Bettiga and Lamberti, 2017</xref>). Research on product adoption and consumption mainly argues that such emotional responses are processed differently by individuals according to the mainly hedonic or utilitarian/functional nature of the product they are evaluating (<xref ref-type="bibr" rid="B45">Hoch and Ha, 1986</xref>; <xref ref-type="bibr" rid="B12">Batra and Ahtola, 1991</xref>; <xref ref-type="bibr" rid="B51">Kempf and Smith, 1998</xref>; <xref ref-type="bibr" rid="B77">Ren and Nickerson, 2019</xref>; <xref ref-type="bibr" rid="B94">Yang et al., 2020</xref>). Hedonic products refer to objects consumed mostly for affective or sensory fulfillment aim, while utilitarian products are connected to more functional and practical benefits (<xref ref-type="bibr" rid="B93">Woods, 1960</xref>; <xref ref-type="bibr" rid="B83">Strahilevitz and Myers, 1998</xref>; <xref ref-type="bibr" rid="B47">Huber et al., 2018</xref>). Although this distinction is less than unequivocal (<xref ref-type="bibr" rid="B46">Holbrook and Hirschman, 1982</xref>), there appears to be a consensus that a main utilitarian product affects differently cognition and emotions than a hedonic product (<xref ref-type="bibr" rid="B50">Kempf, 1999</xref>). Hedonic products have been argued as being more affect-rich than those consumed for utilitarian purposes (<xref ref-type="bibr" rid="B75">Pham, 1998</xref>; <xref ref-type="bibr" rid="B66">Malhotra, 2005</xref>; <xref ref-type="bibr" rid="B7">Baghi and Antonetti, 2017</xref>). Research affirms that they generate greater arousal (<xref ref-type="bibr" rid="B50">Kempf, 1999</xref>), pleasure, and engagement (<xref ref-type="bibr" rid="B57">Kivetz and Simonson, 2002</xref>; <xref ref-type="bibr" rid="B98">Zheng and Kivetz, 2009</xref>; <xref ref-type="bibr" rid="B72">O&#x2019;Brien and O&#x2019;Brien, 2010</xref>) than utilitarian ones.</p>
<p>Given that, academicians and marketers have proposed different communication approaches for the two product typologies, assuming that emotional communication would be more effective for a hedonic offer (<xref ref-type="bibr" rid="B49">Johar and Sirgy, 1991</xref>; <xref ref-type="bibr" rid="B79">Rossiter et al., 1991</xref>; <xref ref-type="bibr" rid="B13">Batra and Stephens, 1994</xref>). However, recent research sheds doubts on the inherent difference in the emotions generated by hedonic versus utilitarian products, showing that hedonic offer generates greater emotions only for some customer segments (<xref ref-type="bibr" rid="B33">Drolet et al., 2007</xref>) or for specific interaction modes (<xref ref-type="bibr" rid="B61">Liao et al., 2016</xref>). Other studies found that emotional responses (e.g., <xref ref-type="bibr" rid="B44">Henning et al., 2012</xref>) and consumer responses (<xref ref-type="bibr" rid="B89">Vila-L&#x00F3;pez and K&#x00FC;ster-Boluda, 2018</xref>) do not differ for hedonic and functional product evaluation.</p>
<p>We propose that such discrepancy may derive from the nature of the emotions assessed, which is strictly dependent on their empirical measurement. Research typically measures emotions through self-reported techniques, such as surveys (e.g., <xref ref-type="bibr" rid="B44">Henning et al., 2012</xref>; <xref ref-type="bibr" rid="B61">Liao et al., 2016</xref>). Self-reported techniques, however, have shown significant limitations when it comes to assessing human reactions to stimuli and purchase patterns (<xref ref-type="bibr" rid="B38">Groeppel-Klein and Baun, 2001</xref>; <xref ref-type="bibr" rid="B3">Ait Hammou et al., 2013</xref>). Consumers, indeed, are typically unable to describe their emotional processes, given the subconscious mechanisms of which individuals are not aware of and thus cannot report (<xref ref-type="bibr" rid="B16">Berridge and Winkielman, 2003</xref>; <xref ref-type="bibr" rid="B48">Ivonin et al., 2013</xref>). These methods can only catch what consumers report, so the conscious emotions that the consumer can recognize and describe. However, self-reported methods cannot measure the unconscious feelings and emotions the individual experiences but is not able to account. For these reasons, several researchers highlight the need to measure physiological unconscious emotions that go beyond the subjective felt ones (<xref ref-type="bibr" rid="B71">Oatley, 1992</xref>; <xref ref-type="bibr" rid="B8">Bagozzi et al., 1999</xref>; <xref ref-type="bibr" rid="B25">Chamberlain and Broderick, 2007</xref>).</p>
<p>This research attempts to address such concern by assessing both the physiological (unconscious) and the self-reported (conscious) emotional reactions generated by hedonic and utilitarian products, given the importance of emotions in product adoption and consumption (<xref ref-type="bibr" rid="B27">Chaudhuri et al., 2010</xref>). We examine the influence of the product nature (functional and hedonic) on a consumer&#x2019;s affective reactions of pleasure, arousal, and involvement through both physiological techniques (electroencephalography, heart rate, breath rate, and skin conductance) and self-reported instruments. With this study, we aim at providing theoretical and empirical evidence on the conscious and unconscious emotional responses generated by hedonic and utilitarian products. Further, we provide implications of the use of physiological techniques in the assessment of a consumer&#x2019;s experience with new products.</p>
</sec>
<sec id="S2">
<title>The Role of Emotions in Product Evaluation</title>
<sec id="S2.SS1">
<title>Pleasure, Arousal, and Involvement</title>
<p>Emotions may have two conceptualizations: discrete emotions, identified as individual and basic entities such as happiness, surprise, and sadness; or global feelings, identified in the two dimensions of arousal and pleasure. The validity of discrete emotions has been called into question by several researchers, as their identification was considered incoherent and trivial (<xref ref-type="bibr" rid="B25">Chamberlain and Broderick, 2007</xref>). In light of such criticisms, research has mainly focused on the global feelings of pleasure and arousal (<xref ref-type="bibr" rid="B67">Mehrabian and Russell, 1974</xref>), enabling a variety of measurement techniques with better results than discrete emotions assessment (<xref ref-type="bibr" rid="B25">Chamberlain and Broderick, 2007</xref>).</p>
<p>Pleasure (or valence) reflects happiness and satisfaction, while arousal conveys excitement, stimulation, and bodily activation. From a physiological viewpoint, arousal is a central component of behavior and a driver of decision-making processes (<xref ref-type="bibr" rid="B37">Groeppel-Klein, 2005</xref>). Arousal reflects an active body reaction; thus, it is closely related to attention to relevant outside stimuli and their processing (<xref ref-type="bibr" rid="B37">Groeppel-Klein, 2005</xref>) and has been acknowledged as a direct expression of involvement (<xref ref-type="bibr" rid="B26">Chaudhuri, 2002</xref>). Heightened arousal, indeed, has been found as a consequence of product involvement (<xref ref-type="bibr" rid="B68">Mitchell, 1980</xref>). The two emotional reactions, as suggested by literature (<xref ref-type="bibr" rid="B26">Chaudhuri, 2002</xref>; <xref ref-type="bibr" rid="B37">Groeppel-Klein, 2005</xref>), may be indeed strongly connected. Physiologically, involvement is identified as &#x201C;the ability to focus on certain aspects of the environment while ignoring others&#x201D; (<xref ref-type="bibr" rid="B88">Venkatraman et al., 2015</xref>, p. 438). It reflects the intrinsic interest and needs gratification that the consumer searches in the product (<xref ref-type="bibr" rid="B96">Zaichkowsky, 1985</xref>; <xref ref-type="bibr" rid="B69">Mittal and Lee, 1989</xref>; <xref ref-type="bibr" rid="B12">Batra and Ahtola, 1991</xref>). Arousal can have a positive or a negative valence: for instance, an individual showing high arousal can be either positively excited or highly irritated or upset. This view has been widely confirmed through empirical studies (<xref ref-type="bibr" rid="B9">Baker et al., 1992</xref>; <xref ref-type="bibr" rid="B90">Ward and Barnes, 2001</xref>) that showed the distinct nature of the arousal&#x2013;relaxed and pleased&#x2013;unpleased dichotomy and highlight the necessity to measure both dimensions to gather a complete understanding of consumer reactions.</p>
</sec>
<sec id="S2.SS2">
<title>Measuring Emotions</title>
<p>The existence of an emotional state can be inferred by the means of physiological measures, self-report measures, or behaviors (<xref ref-type="bibr" rid="B59">Lang, 1968</xref>; <xref ref-type="bibr" rid="B73">&#x00D6;hman, 1986</xref>). Marketing and consumer behavior research traditionally adopted self-reported measures to assess emotions, such as unipolar or bipolar scales on surveys (e.g., <xref ref-type="bibr" rid="B67">Mehrabian and Russell, 1974</xref>). A review of the main self-reported methods used in research is presented by <xref ref-type="bibr" rid="B25">Chamberlain and Broderick (2007)</xref>. However, self-reporting may not reflect the real feelings that consumers experience (<xref ref-type="bibr" rid="B3">Ait Hammou et al., 2013</xref>) as individuals are typically unable to describe their emotional processes given the subconscious components that they cannot take into account (<xref ref-type="bibr" rid="B53">Kihlstrom, 1990</xref>, <xref ref-type="bibr" rid="B54">1992</xref>; <xref ref-type="bibr" rid="B55">Kihlstrom et al., 2000</xref>; <xref ref-type="bibr" rid="B16">Berridge and Winkielman, 2003</xref>; <xref ref-type="bibr" rid="B82">Smith and Lane, 2016</xref>; for a review, see <xref ref-type="bibr" rid="B78">Robinson and Clore, 2002</xref>). Emotional responses, indeed, can be consciously experienced when they are generated by the identification of the eliciting cause. This happens through the recognition of the product that generates the emotions&#x2014;e.g., a man pleased by a new pair of beautiful shoes (<xref ref-type="bibr" rid="B53">Kihlstrom, 1990</xref>). Or they can be unconscious when they are consciously experienced but without identification of the eliciting cause (misattribution) or generated but not consciously recognized (<xref ref-type="bibr" rid="B55">Kihlstrom et al., 2000</xref>). This is, for instance, the case of a consumer feeling anxious while using a new laptop but without knowing why. Despite the fact that prior research mostly failed to assess such unconscious emotions, it is widely acknowledged that most of the feelings that determine thought and behavior occur without awareness (<xref ref-type="bibr" rid="B97">Zaltman, 1997</xref>). While self-reported emotions are cognitive evaluations made <italic>a posteriori</italic>, physiological measures are not affected by the cognitive influences (<xref ref-type="bibr" rid="B34">Figner and Murphy, 2011</xref>). These measures can unveil the unconscious reactions of consumers to stimuli (<xref ref-type="bibr" rid="B34">Figner and Murphy, 2011</xref>) for which individuals are typically not aware of and hence not able to fully explain and report them (<xref ref-type="bibr" rid="B36">Fortunato et al., 2014</xref>). Physiological techniques have been confirmed successful in predicting consumer responses in a variety of contexts (<xref ref-type="bibr" rid="B39">Guixeres et al., 2017</xref>; <xref ref-type="bibr" rid="B24">Br&#x00E1;s et al., 2018</xref>; <xref ref-type="bibr" rid="B63">Lin et al., 2018b</xref>; <xref ref-type="bibr" rid="B84">Sung et al., 2019</xref>).</p>
</sec>
</sec>
<sec id="S3">
<title>Emotions Toward Hedonic and Utilitarian Products</title>
<p>Research conventionally makes a distinction between hedonic and utilitarian products (<xref ref-type="bibr" rid="B50">Kempf, 1999</xref>; <xref ref-type="bibr" rid="B56">Kim and Morris, 2007</xref>; <xref ref-type="bibr" rid="B62">Lin et al., 2018a</xref>; <xref ref-type="bibr" rid="B6">Amatulli et al., 2020</xref>). Hedonic products are consumed mostly for affective or sensory fulfillment aim, while functional products for utilitarian goals (<xref ref-type="bibr" rid="B93">Woods, 1960</xref>; <xref ref-type="bibr" rid="B83">Strahilevitz and Myers, 1998</xref>; <xref ref-type="bibr" rid="B57">Kivetz and Simonson, 2002</xref>; <xref ref-type="bibr" rid="B32">de Witt Huberts et al., 2014</xref>; <xref ref-type="bibr" rid="B64">Lu et al., 2016</xref>). Hedonic goods are associated with fun, pleasure, and excitement (<xref ref-type="bibr" rid="B52">Khan et al., 2004</xref>). Typical examples of such products are perfumes, flowers, luxury watches, and sports cars. Utilitarian goods are primarily instrumental, and consumption is driven by functional aspects, such as for detergents, home security systems, or personal computers (<xref ref-type="bibr" rid="B46">Holbrook and Hirschman, 1982</xref>; <xref ref-type="bibr" rid="B83">Strahilevitz and Myers, 1998</xref>; <xref ref-type="bibr" rid="B92">Wertenbroch and Dhar, 2000</xref>).</p>
<p>Hedonic and utilitarian products have been associated with different consumer reactions and behaviors (<xref ref-type="bibr" rid="B46">Holbrook and Hirschman, 1982</xref>; <xref ref-type="bibr" rid="B12">Batra and Ahtola, 1991</xref>). Research has quite consistently argued that feelings are weighed more heavily under hedonic than utilitarian consumption goals (<xref ref-type="bibr" rid="B75">Pham, 1998</xref>; <xref ref-type="bibr" rid="B66">Malhotra, 2005</xref>). Products consumed for hedonic purposes have been acknowledged as more affect-rich and evoking feeling-based evaluations (<xref ref-type="bibr" rid="B75">Pham, 1998</xref>; <xref ref-type="bibr" rid="B50">Kempf, 1999</xref>; <xref ref-type="bibr" rid="B66">Malhotra, 2005</xref>). Research argued that hedonic product experiences lead to stronger emotional responses of arousal (<xref ref-type="bibr" rid="B50">Kempf, 1999</xref>; <xref ref-type="bibr" rid="B35">Fiore et al., 2005</xref>), pleasure, and engagement (<xref ref-type="bibr" rid="B57">Kivetz and Simonson, 2002</xref>; <xref ref-type="bibr" rid="B98">Zheng and Kivetz, 2009</xref>; <xref ref-type="bibr" rid="B72">O&#x2019;Brien and O&#x2019;Brien, 2010</xref>) than utilitarian ones. As a result, researchers and practitioners suggested different communication strategies according to the nature of the product marketed, assuming that affective communication evokes more positive consumer responses for a hedonic offer (<xref ref-type="bibr" rid="B49">Johar and Sirgy, 1991</xref>; <xref ref-type="bibr" rid="B79">Rossiter et al., 1991</xref>; <xref ref-type="bibr" rid="B13">Batra and Stephens, 1994</xref>). Emotional and value-related communication has been claimed as more relevant for such products (<xref ref-type="bibr" rid="B49">Johar and Sirgy, 1991</xref>; <xref ref-type="bibr" rid="B79">Rossiter et al., 1991</xref>), and ad liking seems connected to ad recall for hedonic but not for utilitarian objects (<xref ref-type="bibr" rid="B95">Youn et al., 2001</xref>). Overall, research moved toward the conclusion that the use of emotional appeal is desirable for hedonic products, while for utilitarian ones, it is not advised (<xref ref-type="bibr" rid="B79">Rossiter et al., 1991</xref>; <xref ref-type="bibr" rid="B95">Youn et al., 2001</xref>).</p>
<p>However, recent studies shed doubts on the inherent difference in the emotions generated by hedonic versus utilitarian products. <xref ref-type="bibr" rid="B33">Drolet et al. (2007)</xref> found that young adults have more positive attitudes toward and better recall of affective ads for hedonic products than utilitarian ones (for which rational ads work better), but the elderly have better recall and more positive attitude toward affective ads irrespective of the nature of the product advertised. <xref ref-type="bibr" rid="B61">Liao et al. (2016)</xref> proved that hedonic products, presented through an online interface, generate higher pleasure than utilitarian products but only in specific interaction conditions. They detected no differences, however, in the arousal dimension. Similarly, <xref ref-type="bibr" rid="B81">Sharma and Chan (2017)</xref> found mixed evidence on the moderating effect of product nature on counterfeit product purchase behaviors. <xref ref-type="bibr" rid="B44">Henning et al. (2012)</xref> and <xref ref-type="bibr" rid="B18">Bettiga and Lamberti (2018)</xref> established that emotions are relevant to both hedonic and functional product evaluations.</p>
<p>Such inconsistency in results may be generated by the empirical assessment of the emotions themselves, typically measured through self-reported techniques, by asking consumers to report the feelings they experienced. When interacting with hedonic products, indeed, consumers may devote higher attention to the emotional outcome of the consumption episode and emotions elicited by such interaction (<xref ref-type="bibr" rid="B70">Neelamegham and Jain, 1999</xref>). For certain products, such as movies, the emotional outcome may itself be the objective (<xref ref-type="bibr" rid="B70">Neelamegham and Jain, 1999</xref>). As emotions are perceived to be more important for hedonic consumption motives, consumers may pay more attention to their emotional reactions for hedonic products (<xref ref-type="bibr" rid="B75">Pham, 1998</xref>). Even when emotional responses are elicited similarly in both hedonic and utilitarian consumption, consumers are more likely to infer that their emotional responses have been elicited by the product itself (and not by other contextual elements) only for hedonic consumption (<xref ref-type="bibr" rid="B44">Henning et al., 2012</xref>). Thus, it is plausible that unconscious emotions are translated in consciously experienced emotions for hedonic products only, where there is an identification of the eliciting cause. Hence, we argue that the attribution of emotions mainly to hedonic products in mainstream research (e.g., <xref ref-type="bibr" rid="B50">Kempf, 1999</xref>) may be due to the conscious recognition and reporting of such emotions by consumers and not by the magnitude of real emotions experienced. For utilitarian products, conversely, consumers may not translate unconscious emotions in conscious, thus reportable, feelings, regardless of the real emotions experienced.</p>
<p>Grounding on this discussion, we expect that both functional and hedonic products generate emotions. However, such emotions may not be consciously recognized in utilitarian consumption scenarios, thus generating a misalignment between unconscious emotions and conscious emotions. Conversely, we expect that the unconscious emotions elicited by a hedonic product may be recognized at the conscious level. In other words, we posit that consumers do experience and are able to report emotions for hedonic products. Hence, we expect an alignment between physiological unconscious emotions and self-reported, thus conscious, ones. On the contrary, for functional products, consumers do experience emotions but are not able to report them; hence, we expect a misalignment between physiological and self-reported emotions. More formally, we propose:</p>
<list list-type="simple">
<list-item><p><bold>H1:</bold> <italic>There are no significant differences between the emotional reactions of (H1a) arousal, (H1b) pleasure, and (H1c) involvement generated by hedonic and functional products.</italic></p>
</list-item>
</list>
<list list-type="simple">
<list-item><p><bold>H2:</bold> <italic>For functional products, conscious and unconscious emotions of (H2a) arousal, (H2b) pleasure, and (H2c) involvement are misaligned.</italic></p>
</list-item>
</list>
<list list-type="simple">
<list-item><p><bold>H3:</bold> <italic>For hedonic products, conscious and unconscious emotions of (H3a) arousal, (H3b) pleasure, and (H3c) involvement are aligned.</italic></p>
</list-item>
</list>
</sec>
<sec id="S4" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S4.SS1">
<title>Laboratory Experiment</title>
<p>A laboratory experiment was conducted inside a university bioengineering laboratory to evaluate a consumer&#x2019;s responses toward a functional product and a hedonic product. The experimental base was composed of 21 subjects (14 males, 7 females) aged between 22 and 25 years old. The narrow age range assures the full comparability of physiological data collected, as they may vary with age (e.g., <xref ref-type="bibr" rid="B43">Hayano et al., 1990</xref>). The sample size is in line with prior experiments adopting biometric measures (<xref ref-type="bibr" rid="B86">Vecchiato et al., 2012</xref>). Demographic statistics are reported in <xref ref-type="table" rid="T1">Table 1</xref>. We used a body scale as a functional product and an MP3 player as a hedonic product, according to prior research (<xref ref-type="bibr" rid="B19">Bettiga et al., 2017a</xref>), showing a significant difference in the perceived nature of the two products. The brands chosen were unfamiliar in the market where the experiment was conducted to avoid extra-experimental sources of variance caused by brand-related attitude. Half of the subjects were exposed firstly to the functional product and then to the hedonic product. The other half of the subjects were exposed firstly to the hedonic product and then to the functional product. Randomization was necessary to avoid possible confounding effects.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Demographic statistics.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"><bold>Sex</bold></td>
<td valign="top" align="center">Male 66%</td>
<td valign="top" align="center">Female 33,3%</td>
<td/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">Min 22</td>
<td valign="top" align="center">Average 23.6</td>
<td valign="top" align="center">Max 25</td>
</tr>
<tr>
<td valign="top" align="left">Study title</td>
<td valign="top" align="center">Bachelor&#x2019;s degree 85.7%</td>
<td valign="top" align="center">Master&#x2019;s degree 14.3%</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Employment</td>
<td valign="top" align="center">Students 95%</td>
<td valign="top" align="center">Nonstudents 5%</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Nationality</td>
<td valign="top" align="center">Italian</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>N = 21.</italic></attrib>
</table-wrap-foot>
</table-wrap>
<p>All volunteers were welcomed and briefly explained what the experimental protocol would have consisted of and were told they could withdraw from the experiment at any time. Subjects were instructed that the study aimed to assess their evaluation of commercial products and that, after the product examination, they will be asked to complete a questionnaire to record their evaluation. This procedure, according to prior research (<xref ref-type="bibr" rid="B51">Kempf and Smith, 1998</xref>), serves to prime the respondents to engage in product evaluation. During the study, subjects were comfortably seated in front of a PC monitor used for stimuli delivery. During the whole experiment, we collected the subjects&#x2019; cardiac activity (electrocardiogram, ECG), respiratory activity, electrodermal activity (EDA), and brain activity (electroencephalographic signals, EEG) to detect their unconscious emotions of arousal, pleasure, and involvement. Further, we assess, through a questionnaire, self-reported measures of arousal, pleasure, and involvement. The use of both physiological and self-reported methods allows testing the existence and the alignment/misalignment of conscious and unconscious emotions. To assure the absence of any kind of social influence or disturbance, the experiment was performed on one subject at a time. The study was organized into four consecutive phases:</p>
<list list-type="simple">
<list-item>
<label>I.</label>
<p>A 2-min-long phase of mathematical calculations aimed at increasing the participants&#x2019; level of stress.</p>
</list-item>
<list-item>
<label>II.</label>
<p>A 3-min-long phase of rest, in which the volunteers were asked to stare at a picture and to relax. This procedure was necessary to assess a baseline for each respondent, a condition against which physiological changes during the experiment can be compared.</p>
</list-item>
<list-item>
<label>III.</label>
<p>The browsing of an <italic>ad hoc</italic> webpage displaying information and pictures about a commercial product (a functional product and a hedonic product). This phase could last at most 5 min.</p>
</list-item>
<list-item>
<label>IV.</label>
<p>The filling of a questionnaire to collect self-reported measures about the product experience, plus individuals&#x2019; demographic information.</p>
</list-item>
</list>
<p>The first three phases of the experimental protocol were implemented using the Matlab software (Matlab version R2014a, The MathWorks, Inc.). During phase III, all participants could freely browse each webpage for the time they needed within the 5-min-long duration of this phase. The 5-min time limit serves to minimize underexposure or overexposure to one type of experience and yet provide enough duration not to affect the inherent advantages associated with the virtual experiences (<xref ref-type="bibr" rid="B28">Daugherty et al., 2008</xref>). The provision of <italic>ad hoc</italic> pages assures that (i) respondents do not browse other webpages or get distracted by web banners and pop-up as it may happen while browsing real webpages and (ii) we could design identical webpages for the two products under test to avoid differences in the virtual experience. Product webpages had the same layout, colors, and interaction possibilities. Each webpage had four links: home page, image, information, and supplementary information. Each subject could visit each link all the time he or she wanted.</p>
</sec>
<sec id="S4.SS2">
<title>Measurements</title>
<sec id="S4.SS2.SSS1">
<title>Confounding and Manipulation Variables</title>
<p>We measured two confounding variables: product perceived diagnosticity and product perceived nature. Product perceived diagnosticity represents the consumer&#x2019;s perception of the ability of a trial to help him or her understand the product. Diagnosticity should be perceived equal for the two products (i.e., both virtual interactions offer representative, credible evidence of the product and its attributes). This check guarantees that both webpages offer enough informative experience, as diagnosticy is able to affect product experience processing (<xref ref-type="bibr" rid="B45">Hoch and Ha, 1986</xref>; <xref ref-type="bibr" rid="B51">Kempf and Smith, 1998</xref>). Product diagnosticity was assessed via a single-item scale by asking, &#x201C;Overall, how helpful would you rate the website navigation you just had in judging the quality and performance of the product?&#x201D; Responses were assessed on a 1&#x2013;7 scale with the endpoints labeled &#x201C;not helpful at all&#x201D; and &#x201C;extremely helpful&#x201D; (<xref ref-type="bibr" rid="B50">Kempf, 1999</xref>).</p>
<p>Secondly, to confirm that our manipulation of product nature was successful, we asked participants to rate each product on a 7-point scale according to perceived functional versus hedonic characteristics. This approach is similar to the one adopted in prior studies (<xref ref-type="bibr" rid="B50">Kempf, 1999</xref>). Specifically, we asked, &#x201C;Would you characterize the [product] as primarily a functional product or an entertainment/enjoyable product?&#x201D; with a 7-point scale, with 1 being &#x201C;primarily for functional use&#x201D; and 7 being &#x201C;primarily for entertainment use&#x201D; (<xref ref-type="bibr" rid="B50">Kempf, 1999</xref>).</p>
</sec>
<sec id="S4.SS2.SSS2">
<title>Physiological Measures</title>
<p>Physiological signals were collected during the whole experiment. Specifically, we collected data regarding the subjects&#x2019; cardiac activity (electrocardiogram, ECG), respiratory activity, and EDA using a unique device (ProComp Infiniti encoder, Thought Technology Ltd., Quebec, Canada) to assess the subject&#x2019;s level of arousal. The ECG signal was acquired using three disposable electrodes placed on the volunteer&#x2019;s chest (the negative and the ground electrodes were placed on the right and left shoulder, respectively, while the positive electrode was placed above the right iliac spine). The respiratory activity was measured using a sensorized belt to be fastened around the participant&#x2019;s chest. The EDA signal was acquired using two electrodes sewn inside Velcro straps to be fastened around the second and third fingers of the participant&#x2019;s nondominant hand. The EDA signal is a measure of the skin&#x2019;s ability to conduct electricity and represents changes in the sympathetic nervous system. A broad consensus exists among researchers that have recognized changes in heart rate, breath rate, and EDA as a reflection of changes in the level of activation generated during an emotional episode (<xref ref-type="bibr" rid="B31">Dawson et al., 2007</xref>; <xref ref-type="bibr" rid="B80">Sequeira et al., 2009</xref>; <xref ref-type="bibr" rid="B30">Dawson, 2011</xref>; <xref ref-type="bibr" rid="B22">Boucsein, 2012</xref>).</p>
<p>Furthermore, we collected data regarding the subjects&#x2019; brain activity (electroencephalographic signals, EEG) using the SD LTM EXPRESS headbox (Micromed S.p.A, Mogliano Veneto, Italy) and a 61-channel head cap. Specifically, the cap was placed above the subject&#x2019;s head, and a conductive gel was used to acquire the brain signals from 28 channels (Fp1, FPz, FP2, F7, F3, Fz, F4, F8, T3, C3, Cz, C4, T4, T5, P3, Pz, P4, T6, O1, O2, AF7, AF3, AF4, AF8, F5, F1, F2, F6). We selected these specific channels as they enable the measurement of quantitative indexes of attention and pleasantness (<xref ref-type="bibr" rid="B85">Vecchiato et al., 2010</xref>, <xref ref-type="bibr" rid="B87">2011</xref>, <xref ref-type="bibr" rid="B86">2012</xref>).</p>
</sec>
<sec id="S4.SS2.SSS3">
<title>Physiological Data Elaboration</title>
<p>All physiological data were elaborated using appropriate methods of signal processing following the relevant literature. As physiological measures for three subjects were not properly recorded, we did not consider these subjects in further elaboration, proceeding with analysis on a sample of 18 (11 males, 7 females) subjects. The elaborated data were then used to compute quantitative indexes to be correlated with the results of the questionnaire. Specifically, the heart rate variability (HRV) was obtained from the ECG signal as the time series of the heartbeat time intervals (<xref ref-type="bibr" rid="B74">Pan and Tompkins, 1985</xref>). The combined effect of cardiac and respiratory activity was taken into account using a bivariate time-variant autoregressive model (<xref ref-type="bibr" rid="B10">Barbieri et al., 1997</xref>, <xref ref-type="bibr" rid="B11">2002</xref>; <xref ref-type="bibr" rid="B65">Mainardi et al., 1997</xref>), from which a quantitative feature (PSDc/r) describing the amount of HRV signal driven by respiration was computed (<xref ref-type="bibr" rid="B21">Bianchi et al., 1990</xref>). HRV and PSDc/r were obtained on a beat-to-beat base; the values were normalized by subtracting their average value during the baseline and by dividing by their standard deviation during the baseline. For this purpose, we used the last minute of the 3-min-long baseline phase. After that, the normalized HRV and PSDc/r beat-to-beat values were averaged across phase III to obtain one single value for each index. HRV<sub><italic>III</italic></sub> and PSDc/r<sub><italic>III</italic></sub> are the obtained quantities analyzed in this study. Both the ECG and the respiration signals were processed using custom algorithms developed in Matlab.</p>
<p>The EDA signal was processed using the deconvolution method through Ledalab V3.4.9<sup><xref ref-type="fn" rid="footnote1">1</xref></sup>, a Matlab-based software package that performs event-related analysis relative to events/marker and returns various parameters of the EDA phasic&#x2014;fast component, indicating the emotion induced by the stimulus&#x2014;and tonic&#x2014;slow component, indicating the baseline state activity (<xref ref-type="bibr" rid="B14">Benedek and Kaernbach, 2010a</xref>,<xref ref-type="bibr" rid="B15">b</xref>). Three quantitative indices were computed from the EDA signal: the average tonic activity (EDA_T) during phase III, the integrated skin conductance response (ISCR) as the time integral of the phasic activity during phase III, and the maximum value of phasic activity (PhasicMax) during phase III. The EDA_T index was normalized by subtracting its average value during the last minute of the 3-min-long baseline phase. This normalization was not necessary for the ISCR and the PhasicMax indexes, as these values are not affected by the subject&#x2019;s baseline.</p>
<p>The EEG signal was processed as explained in <xref ref-type="bibr" rid="B86">Vecchiato et al. (2012)</xref> to compute the attention (AI) and the pleasantness (PI) indices. Both indices were obtained from the brain signals measured above the frontal and prefrontal cortices (i.e., electrodes Fpz, AF3, F3, AF4, F4, Fz for AI, electrodes AF3, AF4, F3, F4 for PI), as the activity of neurons belonging to these areas has been correlated with attention (<xref ref-type="bibr" rid="B58">Klimesch, 1999</xref>; <xref ref-type="bibr" rid="B2">Aftanas and Golocheikine, 2001</xref>) and pleasure (<xref ref-type="bibr" rid="B29">Davidson, 2004</xref>; <xref ref-type="bibr" rid="B87">Vecchiato et al., 2011</xref>). As done in <xref ref-type="bibr" rid="B86">Vecchiato et al. (2012)</xref>, the AI index has been reversed to have the activity of desynchronization pointing up. Therefore, an increase in the subject&#x2019;s attention is marked by an increase in the AI index. As concerns the PI index, the pleasure toward the product is marked by positive values. AI and PI values were normalized by subtracting their average value during the baseline and by dividing by their standard deviation during the baseline. For this purpose, we used the last minute of the 3-min-long baseline phase. After that, the normalized AI and PI values were averaged across phase III to obtain one single value for each index.</p>
</sec>
<sec id="S4.SS2.SSS4">
<title>Self-Reported Measures</title>
<p>Self-reported emotional responses of arousal, pleasure, and situational involvement were collected through the mean of a questionnaire using validated scales after browsing each website. <xref ref-type="table" rid="T1">Table 2</xref> reports the expected correspondence between physiological and self-reported measures of emotions. According to prior research (<xref ref-type="bibr" rid="B42">Havlena and Holbrook, 1986</xref>; <xref ref-type="bibr" rid="B50">Kempf, 1999</xref>), we used the scale developed by <xref ref-type="bibr" rid="B67">Mehrabian and Russell (1974)</xref> to measure the arousal&#x2013;quietness dichotomy. The arousal scale items used, listed in random order, were &#x201C;excited&#x2013;calm,&#x201D; &#x201C;stimulated&#x2013;relaxed,&#x201D; &#x201C;aroused&#x2013;unaroused,&#x201D; &#x201C;sluggish&#x2013;frenzied,&#x201D; &#x201C;dull&#x2013;jittery,&#x201D; and &#x201C;sleepy&#x2013;wide awake.&#x201D; Also, pleasure was measured with the <xref ref-type="bibr" rid="B67">Mehrabian and Russell (1974)</xref> scale. The specific questions for pleasure were six semantic differential items, randomly presented: &#x201C;happy&#x2013;unhappy,&#x201D; &#x201C;pleased&#x2013;annoyed,&#x201D; &#x201C;satisfied&#x2013;unsatisfied, &#x201C;melancholic-contented,&#x201D; &#x201C;despairing&#x2013;hopeful,&#x201D; and &#x201C;bored&#x2013;relaxed.&#x201D; Both scale items were introduced with this instruction (<xref ref-type="bibr" rid="B23">Bradley and Lang, 1994</xref>): &#x201C;Each line on the page contains an adjective pair which you will use to rate your feelings about the product. Some of the pairs may seem unusual, but you will probably feel more one way about one side than another. So, for each pair, place a checkmark close to the adjective which you believe describes your reaction to the picture better. The more appropriate the adjective seems, the closer you should put your checkmark to it.&#x201D; We measured situational involvement, a measure of the involvement and attention devoted to the product stimuli, through three 7-item Likert scales, randomly listed, asking: &#x201C;I was absorbed intensely in examining the product presentation,&#x201D; &#x201C;I concentrated fully on viewing the product presentation,&#x201D; and &#x201C;My attention was focused on examining the product&#x201D; (<xref ref-type="bibr" rid="B91">Webster and Ho, 1997</xref>).</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Expected correspondence between physiological and self-reported measures of emotions.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"><bold>Emotional response</bold></td>
<td valign="top" align="center"><bold>Physiological instrument</bold></td>
<td valign="top" align="center"><bold>Physiological measures (unconscious)</bold></td>
<td valign="top" align="center"><bold>Self- reported instrument</bold></td>
<td valign="top" align="center"><bold>Self-reported measures (conscious)</bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Arousal</td>
<td valign="top" align="center">Electrodermal activity (EDA)</td>
<td valign="top" align="center">EDA_T ISCR PhasicMax</td>
<td valign="top" align="center">Survey</td>
<td valign="top" align="center">Arousal scale (<xref ref-type="bibr" rid="B67">Mehrabian and Russell, 1974</xref>)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Respiratory activity and cardiac activity (ECG)</td>
<td valign="top" align="center">HRV<sub><italic>III</italic></sub> PSDc/r<sub><italic>III</italic></sub></td>
<td valign="top" align="justify"/>
<td valign="top" align="justify"/>
</tr>
<tr>
<td valign="top" align="center">Attention/involvement</td>
<td valign="top" align="center">Electroencephalographic signals (EEG)</td>
<td valign="top" align="center">Attention Index (AI)</td>
<td valign="top" align="center">Survey</td>
<td valign="top" align="center">Situational involvement scale (SI) (<xref ref-type="bibr" rid="B91">Webster and Ho, 1997</xref>)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Pleasure</bold></td>
<td valign="top" align="center">Electroencephalographic signals (EEG)</td>
<td valign="top" align="center">Pleasure Index (PI)</td>
<td valign="top" align="center">Survey</td>
<td valign="top" align="center">Pleasure scale (<xref ref-type="bibr" rid="B67">Mehrabian and Russell, 1974</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
</sec>
<sec id="S5">
<title>Results</title>
<sec id="S5.SS1">
<title>Self-Reported Data Elaboration</title>
<p>We performed a reliability analysis for self-reported constructs by assessing Cronbach&#x2019;s alpha (<xref ref-type="table" rid="T3">Table 3</xref>). Results showed that our constructs are all reliable, with the pleasure construct for the functional product slightly under the commonly suggested threshold of 0.7 (<xref ref-type="bibr" rid="B40">Hair et al., 2012</xref>). We verified the absence of common method bias, which may be an issue when self-reported questionnaires are used to collect answers from the same participant at the same time. It represents the variance that may be attributed to the measurement method rather than the constructs that the measures represent. We employed Harman&#x2019;s single factor test (<xref ref-type="bibr" rid="B76">Podsakoff et al., 2003</xref>), which assesses the presence of common method bias by indicating whether a single latent factor offers an acceptable alternative explanation of the analysis. Results show that the single factor was explaining less than 50% of the variance; thus, we concluded that common method bias does not represent a significant threat to the study.</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Reliability analysis for self-reported constructs.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center" colspan="2"><bold>Functional product</bold><hr/></td>
<td valign="top" align="center" colspan="2"><bold>Hedonic product</bold><hr/></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Construct</bold></td>
<td valign="top" align="center">No. of items</td>
<td valign="top" align="center">Cronbach&#x2019;s alpha</td>
<td valign="top" align="center">No. of items</td>
<td valign="top" align="center">Cronbach&#x2019;s alpha</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Arousal</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.847</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.714</td>
</tr>
<tr>
<td valign="top" align="left">Situational involvement</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.743</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.886</td>
</tr>
<tr>
<td valign="top" align="left">Pleasure</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.612</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.742</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic><italic>N</italic> = 18.</italic></attrib>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S5.SS2">
<title>Manipulation and Confound Variables Check</title>
<p>We checked if our manipulations were successful by asking subjects to report the perceived product nature. As expected, subjects perceived the body scale as a functional product with a mean of 1.44 and the MP3 player as a hedonic product with a mean of 5.17. These means were significantly different (<italic>t</italic> = &#x2212;8.63, <italic>p</italic> &#x003C; 0.001), confirming the goodness of the manipulation. Regarding product perceived diagnosticity, we confirmed that no significant differences exist between conditions with a mean of 5.17 for the functional product and a mean of 4.67 for the hedonic product (<italic>t</italic> = 1.18, <italic>p</italic> = 0.244).</p>
</sec>
<sec id="S5.SS3">
<title>Mean Comparison Between Hedonic and Functional Products</title>
<p>We performed a <italic>t</italic>-test to check if the emotions generated by functional products differ significantly with the emotions generated by hedonic products. The results indicate that there is no statistically significant difference between the mean of both physiological and self-reported emotions of arousal, pleasure, and involvement for functional and hedonic products. The mean of each variable is reported in <xref ref-type="fig" rid="F1">Figure 1</xref>; more detailed results are reported in <xref ref-type="table" rid="T5">Table 4</xref>. Thus, both products generate emotions of arousal, pleasure, and involvement in consumers at the physiological as well as self-reported level.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Mean comparison between hedonic and functional products.</p></caption>
<graphic xlink:href="fpsyg-11-559779-g001.tif"/>
</fig>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Mean and standard deviation of physiological and self-reported measures.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"><bold><italic>Product</italic></bold></td>
<td/>
<td valign="top" align="center" colspan="7"><bold><italic>Physiological measures</italic></bold><hr/></td>
<td valign="top" align="center" colspan="3"><bold><italic>Self-reported measures</italic></bold><hr/></td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">EDA_T</td>
<td valign="top" align="center">ISCR</td>
<td valign="top" align="center">PhasicMax</td>
<td valign="top" align="center">HRV<sub>III</sub></td>
<td valign="top" align="center">PSDcr<sub>III</sub></td>
<td valign="top" align="center">AI</td>
<td valign="top" align="center">PI</td>
<td valign="top" align="center">SI</td>
<td valign="top" align="center">Arousal</td>
<td valign="top" align="center">Pleasure</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>Functional</italic></td>
<td valign="top" align="center">Mean</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.19</td>
<td valign="top" align="center">1.07</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">&#x2013;0.35</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">5.31</td>
<td valign="top" align="center">3.39</td>
<td valign="top" align="center">4.59</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">SD</td>
<td valign="top" align="center">0.66</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">1.25</td>
<td valign="top" align="center">0.68</td>
<td valign="top" align="center">1.90</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.49</td>
</tr>
<tr>
<td valign="top" align="left"><italic>Hedonic</italic></td>
<td valign="top" align="center">Mean</td>
<td valign="top" align="center">&#x2013;0.18</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">0.98</td>
<td valign="top" align="center">0.53</td>
<td valign="top" align="center">0.49</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">4.83</td>
<td valign="top" align="center">3.21</td>
<td valign="top" align="center">4.33</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">SD</td>
<td valign="top" align="center">0.37</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">1.06</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">2.33</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">1.32</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">0.60</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>N = 18.</italic></attrib>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S5.SS4">
<title>Correlation Analysis Results</title>
<p>A correlation analysis was performed between the indexes obtained from the physiological data and the declared ones. As the indexes obtained from the physiological data did not follow a normal distribution, the correlation analysis was performed using a two-tailed Spearman nonparametric statistical test with a significance level set equal to 0.05. Results are reported in <xref ref-type="table" rid="T5">Tables 5</xref>, <xref ref-type="table" rid="T6">6</xref> for the functional and the hedonic product, respectively.</p>
<table-wrap position="float" id="T5">
<label>TABLE 5</label>
<caption><p>Correlation analysis for the functional product.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"><bold>Emotional response</bold></td>
<td valign="top" align="center"><bold>Sign of the value</bold></td>
<td/>
<td valign="top" align="center"><bold>EDA_T</bold></td>
<td valign="top" align="center"><bold>ISCR</bold></td>
<td valign="top" align="center"><bold>PhasicMax</bold></td>
<td valign="top" align="center"><bold>HRV<sub>III</sub></bold></td>
<td valign="top" align="center"><bold>PSDc/r<sub>III</sub></bold></td>
<td valign="top" align="center"><bold>AI</bold></td>
<td valign="top" align="center"><bold>PI</bold></td>
<td valign="top" align="center"><bold>Arousal</bold></td>
<td valign="top" align="center"><bold>SI</bold></td>
<td valign="top" align="center"><bold>Pleasure</bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Physiological measures</td>
<td valign="top" align="center">Arousal</td>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">EDA_T</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.61&#x002A;</td>
<td valign="top" align="center">0.58&#x002A;</td>
<td valign="top" align="center">0.32</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">&#x2013;0.03</td>
<td valign="top" align="center">&#x2013;0.01</td>
<td valign="top" align="center">&#x2013;0.13</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">ISCR</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.94&#x002A;</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">0.72&#x002A;</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">&#x2212;0.48&#x002A;</td>
<td valign="top" align="center">&#x2013;0.29</td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">PhasicMax</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">0.79&#x002A;</td>
<td valign="top" align="center">0.08</td>
<td valign="top" align="center">&#x2013;0.39</td>
<td valign="top" align="center">&#x2013;0.24</td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">HRV<sub>III</sub></td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.20</td>
<td valign="top" align="center">&#x2013;0.03</td>
<td valign="top" align="center">&#x2013;0.25</td>
<td valign="top" align="center">0.39</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">Negative</td>
<td valign="top" align="center">PSDc/r<sub>III</sub></td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">&#x2212;0.56&#x002A;</td>
<td valign="top" align="center">&#x2013;0.07</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Attention</td>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">AI</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">&#x2013;0.03</td>
<td valign="top" align="center">&#x2013;0.15</td>
<td valign="top" align="center">&#x2013;0.24</td>
<td valign="top" align="center">0.31</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Pleasure</td>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">PI</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">&#x2013;0.27</td>
<td valign="top" align="center">&#x2013;0.49</td>
<td valign="top" align="center">0.12</td>
</tr>
<tr>
<td valign="top" align="left">Self-reported measures</td>
<td valign="top" align="center">Arousal</td>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">Arousal</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.50&#x002A;</td>
<td valign="top" align="center">0.10</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Situational Involvement</td>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">SI</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">&#x2013;0.04</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Pleasure</td>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">Pleasure</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1.00</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>Statistically significant correlations (<italic>p</italic>-value &#x003C;0.05) are marked with an asterisk.</italic></attrib>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T6">
<label>TABLE 6</label>
<caption><p>Correlation analysis for the hedonic product. (0.05) are marked with an asterisk.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center"><bold>Emotional response</bold></td>
<td valign="top" align="center"><bold>Sign of the value</bold></td>
<td/>
<td valign="top" align="center"><bold>EDA_T</bold></td>
<td valign="top" align="center"><bold>ISCR</bold></td>
<td valign="top" align="center"><bold>PhasicMax</bold></td>
<td valign="top" align="center"><bold>HRV<sub>III</sub></bold></td>
<td valign="top" align="center"><bold>PSDc/r<sub>III</sub></bold></td>
<td valign="top" align="center"><bold>AI</bold></td>
<td valign="top" align="center"><bold>PI</bold></td>
<td valign="top" align="center"><bold>Arousal</bold></td>
<td valign="top" align="center"><bold>SI</bold></td>
<td valign="top" align="center"><bold>Pleasure</bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Physiological measures</td>
<td/>
<td/>
<td valign="top" align="center">EDA_T</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">0.35</td>
<td valign="top" align="center">&#x2013;0.04</td>
<td valign="top" align="center">&#x2013;0.05</td>
<td valign="top" align="center">&#x2013;0.10</td>
<td valign="top" align="center">&#x2013;0.23</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0.42</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Arousal</td>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">ISCR</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.92&#x002A;</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">&#x2013;0.12</td>
<td valign="top" align="center">0.67&#x002A;</td>
<td valign="top" align="center">&#x2013;0.04</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">0.45</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">PhasicMax</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">&#x2013;0.18</td>
<td valign="top" align="center">0.66&#x002A;</td>
<td valign="top" align="center">&#x2013;0.15</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.45</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">HRV<sub>III</sub></td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">&#x2212;0.72&#x002A;</td>
<td valign="top" align="center">0.46</td>
<td valign="top" align="center">&#x2013;0.10</td>
<td valign="top" align="center">0.36</td>
<td valign="top" align="center">0.42</td>
<td valign="top" align="center">0.27</td>
</tr>
<tr>
<td/>
<td/>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">PSDc/rV<sub>III</sub></td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">&#x2013;0.27</td>
<td valign="top" align="center">&#x2013;0.07</td>
<td valign="top" align="center">&#x2212;0.48&#x002A;</td>
<td valign="top" align="center">&#x2212;0.54&#x002A;</td>
<td valign="top" align="center">&#x2013;0.41</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Attention</td>
<td valign="top" align="center">Negative</td>
<td valign="top" align="center">AI</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">&#x2013;0.07</td>
<td valign="top" align="center">&#x2013;0.21</td>
<td valign="top" align="center">0.36</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Pleasure</td>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">PI</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">&#x2013;0.02</td>
<td valign="top" align="center">&#x2013;0.11</td>
<td valign="top" align="center">0.25</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Arousal</td>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">Arousal</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.55&#x002A;</td>
<td valign="top" align="center">0.15</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Situational Involvement</td>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">Pleasure</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">0.37</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Pleasure</td>
<td valign="top" align="center">Positive</td>
<td valign="top" align="center">SI</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.37</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<attrib><italic>Statistically significant correlations (<italic>p</italic>-value &#x003C; 0.05) are marked with an asterisk.</italic></attrib>
</table-wrap-foot>
</table-wrap>
<sec id="S5.SS4.SSS1">
<title>Correlation Analysis Between Physiological Data</title>
<p>For both products, the ISCR and the maximum value of phasic activity (PhasicMax) of the EDA signal show a statistically significant positive correlation, as they are both quantitative descriptors of the EDA phasic component, indicating unconscious arousal. Furthermore, both parameters show a significant positive correlation with the attention index (AI) obtained from the EEG signal. This result could suggest that the subject&#x2019;s attention, as quantified using information from the brain signals, increases with increasing physiological arousal, as quantified using information from the EDA signal.</p>
</sec>
<sec id="S5.SS4.SSS2">
<title>Correlation Analysis Between Self-Reported and Physiological Data</title>
<p>The most significant results in the correlation analysis between self-reported and physiological data have been found for arousal and involvement. Specifically, for the hedonic product, the quantitative parameters obtained from the cardiac and respiratory signals show statistically significant correlations with the subjective responses. The combined effect of cardiac and respiratory activity (PSDc/r) negatively correlates with the self-reported situational involvement (SI) and with the self-reported arousal. The negative sign of the correlation is that high values of the PSDc/r identify a relaxing condition, while low values identify a stressful condition. Thus, the more engaging experience relates to high reported situational involvement and arousal, showing alignment between physiological and self-reported arousal for the hedonic product. On the contrary, for the functional product, a statistically significant correlation has been detected between physiological arousal (measured through ISCR) and self-reported arousal. As both parameters measure the engagement of the individual, the negative sign of the correlation indicates that the self-reported arousal is misaligned with the physiological arousal for the functional product.</p>
</sec>
</sec>
</sec>
<sec id="S6">
<title>Discussion</title>
<p>Our results suggest that the ability to generate emotions and feelings in the consumer is not the distinguishing mark between the two product typologies. The discriminant seems, however, to lie in the connotation associated <italic>a priori</italic> to the offer. In our study, consumers, indeed, declared that the two products have either a functional nature or a hedonic nature. We can infer that such awareness induces to report arousal and engagement only for the products perceived to be hedonic. This is in line with recent studies, affirming that when interacting with hedonic products, consumers may devote greater attention to the emotions elicited by such interaction (<xref ref-type="bibr" rid="B75">Pham, 1998</xref>; <xref ref-type="bibr" rid="B70">Neelamegham and Jain, 1999</xref>) and are more likely to infer that their emotional responses have been provoked by the product itself (<xref ref-type="bibr" rid="B44">Henning et al., 2012</xref>). Hence, the same distinction between hedonic and functional products may not lie in their inherent nature but in the rationalization of their consumption. A product may be classified as functional when individuals recognize its utilitarian value but not the emotional one. Similarly, a product may be perceived as hedonic because the individual recognizes its entertainment and emotional value in the absence of perceived utilitarian value. Consumers may justify their consumption of hedonic products by embedding them with emotional values and of functional products by recognizing in them prominent utilitarian values. Such findings would confirm what has been proposed by <xref ref-type="bibr" rid="B1">Addis and Holbrook (2001)</xref> regarding hedonic objects: &#x201C;subjectivity might be more than just a filter, but an actualizing creative force that molds the object (via a perception of it) so as to shape the resulting consumption experience (including variable emotional reactions) in ways that defy rational analysis&#x201D;(<xref ref-type="bibr" rid="B1">Addis and Holbrook, 2001</xref>, p. 60). If the subjectivity of the consumer evaluation is the distinguishing mark, the same ambiguity in the classification of some products as either functional or hedonic would be solved. Indeed, such discriminant does not lie in the product itself but in its interpretation by the individual. For instance, coffee may be perceived as functional if the individual consumes it because of stimulation. But it can be perceived as hedonic if the consumption is driven by the sensory enjoyment of coffee aroma. In the first case, post-consumption, the consumer will be more prone to recognize the energizing boost of the coffee, while in the second case its sensory attributes.</p>
</sec>
<sec id="S7">
<title>Conclusion</title>
<p>This research aims at providing theoretical and empirical evidence on the conscious and unconscious emotional responses generated by hedonic and utilitarian products. We examine the influence of the product nature (functional and hedonic) on a consumer&#x2019;s affective reactions of pleasure, arousal, and involvement through both physiological techniques (electroencephalography, heart rate, breath rate, and skin conductance) and self-reported instruments.</p>
<p>Findings show that functional and hedonic products both generate emotional responses in consumers, confirming H1a, H1b, and H1c. Neither the self-reported measures of arousal, pleasure, and involvement nor the physiological ones were showing any difference between the two product typologies, contrary to what has been argued by mainstream research (e.g., <xref ref-type="bibr" rid="B75">Pham, 1998</xref>; <xref ref-type="bibr" rid="B66">Malhotra, 2005</xref>; <xref ref-type="bibr" rid="B72">O&#x2019;Brien and O&#x2019;Brien, 2010</xref>) but in line with recent studies (<xref ref-type="bibr" rid="B89">Vila-L&#x00F3;pez and K&#x00FC;ster-Boluda, 2018</xref>). Further, findings of this study show that when a consumer is exposed to a functional product, the physiological emotional responses are disassociated from the self-reported ones, indicating that unconscious emotions generated by functional products may not be consciously recognized. Findings hold for arousal, pleasure, and involvement, confirming H2a, H2b, and H2c. Specifically, for arousal, we found that EDA_T and Phasic Max measures were not significantly correlated with self-reported arousal, while ISCR was negatively correlated. Similarly, physiological pleasure (PI) and physiological attention (AI) were not correlated with the respective self-reported measure of pleasure and situational involvement.</p>
<p>Conversely, for the hedonic product, results show a significant correlation between self-reported and physiological arousal, suggesting that unconscious arousal has been recognized at the conscious level by individuals, according to our H3a. In particular, our findings show that self-reported arousal significantly correlates with physiological arousal measured through the combined effect of cardiac and respiratory activity (PSDc/r). However, we found no correlation between self-reported and physiological pleasure and involvement, thus not confirming H3b and H3c. Such dissimilarity in findings may explain the recent controversial results of some works (e.g., <xref ref-type="bibr" rid="B61">Liao et al., 2016</xref>) that depict how hedonic offer may generate different outputs in terms of pleasure and arousal. Hedonic products, indeed, may generate higher pleasure than functional products only in some interaction modes (<xref ref-type="bibr" rid="B61">Liao et al., 2016</xref>), underlying the need of further research on this emotional reaction (<xref ref-type="bibr" rid="B4">Alba and Williams, 2013</xref>).</p>
<p>It should be noticed that, as suggested by literature (<xref ref-type="bibr" rid="B26">Chaudhuri, 2002</xref>; <xref ref-type="bibr" rid="B37">Groeppel-Klein, 2005</xref>), arousal and involvement show to be strongly connected, being self-reported measures of arousal and situational involvement positively correlated for both the hedonic and the functional products. The same holds for physiological measures, where the subject&#x2019;s attention (AI), as quantified using information from the brain signals, significantly increases with increased activation of the sympathetic nervous system, as quantified using information from the EDA signal (ISCR and PhasicMax). Interestingly, for the hedonic consumption scenario, such connection is evident in the correlation between self-reported and physiological measures of arousal. Here physiological arousal measured through PSDc/r correlated with both self-reported arousal and self-reported involvement, providing further confirmation to H3a. Thus, our findings provide support to the assumption that, even when arousal is elicited similarly in both hedonic and utilitarian consumption, individuals are more likely to consciously recognize their emotional responses for hedonic consumption only.</p>
</sec>
<sec id="S8">
<title>Research and Managerial Implications</title>
<p>The study contributes to research in three main directions. First of all, it warrants new findings to research on functional and hedonic consumption by depicting the different emotional reactions that consumers show while interacting with such product typologies. Despite numerous writers suggesting that hedonic, but not functional, products provide emotional experiences to individuals, we determine that functional products elicit emotional feelings in the consumer in the same extent as hedonic products.</p>
<p>Secondly, results show that functional products elicit unconscious emotions in consumers that, however, are not consciously recognized. Conversely, unconscious arousal and involvement generated through hedonic consumption are consciously recognized by consumers and thus can be reported. This finding may explain the lack of emotional reactions toward functional products found in prior research. The self-reported methods used in all prior studies (e.g., <xref ref-type="bibr" rid="B50">Kempf, 1999</xref>) may have been inadequate to detect the emotional reactions toward functional products. As we show in this work, even if consumers feel aroused and engaged, they can report it only for the hedonic product and not for functional ones. Thus, we propose an alternative explanation to the apparent lack of affect-rich experiences elicited by functional products that research has neglected. Results stress the need to reconsider emotional reactions for utilitarian products as well. From a managerial perspective, this provides new weight to emotional communication strategies, as marketers may evaluate the opportunity to convey emotional and visceral messages to promote utilitarian products above hedonic ones. This is especially relevant in light of the aforementioned role of subjective evaluations of the product nature, more than objective classification, for which marketing communication plays a major role.</p>
<p>This leads to the third contribution of this work, which is methodological. The study, indeed, shows that traditional instruments, such as surveys, and physiological analyses provide complementary information about the feelings and emotions generated by products. The former detect the conscious emotions for which the consumer is aware and thus can report. The latter provide information about the unconscious emotional reactions that research acknowledges as powerful drivers of decision-making (e.g., <xref ref-type="bibr" rid="B55">Kihlstrom et al., 2000</xref>; <xref ref-type="bibr" rid="B48">Ivonin et al., 2013</xref>). Thus, this research provides an initial step toward using physiological responses to deeply evaluate a consumer&#x2019;s experience with new products. In line with such results, we suggest that marketers and product managers should adopt physiological methods in combination with self-reported ones to properly assess the experience evoked by their products both earlier along the new product development process and at the end of the process to develop marketing communication accordingly.</p>
</sec>
<sec id="S9">
<title>Limitations and Future Research</title>
<p>The findings of this work are expected to be particularly robust due to the deployment of an experimental study in a laboratory setting using two different assessment methods: self-reported measures and physiological ones. Moreover, several physiological tools (electroencephalography, electrocardiogram, respiratory activity, and EDA) have been used to assess the emotional reactions of consumers. However, the choice of the laboratory experiment as the empirical setting, despite the fact that it provides higher internal validity being not affected by external influences, is lower in external validity. The artificiality of the setting, indeed, may have produced unnatural behaviors or reactions in consumers that do not reflect real-life behaviors. Thus, it limits generalizability to real environments in which consumers interact with products.</p>
<p>Additionally, future research is needed to replicate and extend our findings. In this work, we tested two electronic devices that, despite having been validated as representative of the hedonic and functional typologies (<xref ref-type="bibr" rid="B19">Bettiga et al., 2017a</xref>), pertain to a specific product category. Thus, we suggest replicating our study on different product categories to understand if differences in emotional reactions may occur. It would be particularly interesting to deploy such a study on product categories that are balanced in terms of functional and hedonic features to explore the role of consumer subjective evaluation in their classification and their subsequent emotional responses toward consumption. Similarly, the empirical test has been conducted on consumers of a restricted age range. Even if a reduced age range is necessary for physiological experiments, to assure the comparability of data collected, a replication of such empirical study on other consumer segments may provide additional information on the consumer&#x2019;s emotional patterns.</p>
<p>Finally, we measured emotions through physiological measures and self-reported scales, revealing that both measures are necessary and showing that conscious and unconscious emotions are, in some instances, not aligned, in others positively correlated. However, it would be interesting if future studies could investigate the extent of such relationships and additional factors that may affect them.</p>
</sec>
<sec id="S10">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="S11">
<title>Ethics Statement</title>
<p>Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. There are several reasons why an explicit approval by an Ethics Committee was not necessary: the participants are adults, the research does not involve vulnerable subjects, the participation in the study is voluntary, it is a minimal risk research, all data collected is treated anonymously. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="S12">
<title>Author Contributions</title>
<p>All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.</p>
</sec>
<sec id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</body>
<back>
<ack>
<p>We would like to thank Caterina Molin, Giulia Erika Radice, and Giulia Tacchino for their support in the development of the manuscript. This manuscript has been released as a preprint at <ext-link ext-link-type="uri" xlink:href="https://re.public.polimi.it/retrieve/handle/11311/1038590/243993/53485.pdf">https://re.public.polimi.it/retrieve/handle/11311/1038590/243993/53485.pdf</ext-link> (<xref ref-type="bibr" rid="B20">Bettiga et al., 2017b</xref>).</p>
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