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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cognit.</journal-id>
<journal-title>Frontiers in Cognition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cognit.</abbrev-journal-title>
<issn pub-type="epub">2813-4532</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcogn.2023.1135435</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cognition</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Is the reversed congruency effect unique to the eye-gaze? Investigating the effects of finger pointing, eye-gaze and arrows stimuli on spatial interference</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Bonventre</surname> <given-names>Sofia</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/2157271/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Marotta</surname> <given-names>Andrea</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/873191/overview"/>
</contrib>
</contrib-group>
<aff><institution>Department of Experimental Psychology, Mind, Brain, and Behavior Research Center (CIMCYC), University of Granada</institution>, <addr-line>Granada</addr-line>, <country>Spain</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Dariusz Asanowicz, Jagiellonian University, Poland</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Wanyi Huang, Shanghai Normal University, China; Anna Pecchinenda, Sapienza University of Rome, Italy; Jos&#x000E9; Luis Ulloa, University of Talca, Chile</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Andrea Marotta <email>marotta&#x00040;ugr.es</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>05</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>2</volume>
<elocation-id>1135435</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>12</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>05</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2023 Bonventre and Marotta.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Bonventre and Marotta</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>
<sec>
<title>Introduction</title>
<p>Spatial interference tasks have been recently used to investigate the supposed uniqueness of gaze processing and attention. For instance, it has been observed that gaze stimuli elicited faster responses when their direction was incongruent with their position (&#x0201C;reversed spatial congruency effect&#x0201D;, RCE), whereas arrows produced faster reaction times (RT) when it was congruent (&#x0201C;standard spatial congruency effect&#x0201D;, SCE). In the present study, we tested whether the RCE is unique to eye-gaze stimuli or can be observed in response to other important social stimuli such as pointing fingers.</p>
</sec>
<sec>
<title>Method</title>
<p>To this aim, congruency effects elicited by eye gaze, arrows, and pointing fingers were compared in a spatial interference task.</p>
</sec>
<sec>
<title>Results</title>
<p>The RCE was only observed in response to eye-gaze stimuli while pointing fingers and arrows elicited the SCE.</p>
</sec>
<sec>
<title>Discussion</title>
<p>This suggests that the RCE reversed congruency effect is specific to gaze stimuli and cannot be generalized to finger-pointing stimuli.</p>
</sec></abstract>
<kwd-group>
<kwd>eye-gaze</kwd>
<kwd>finger pointing</kwd>
<kwd>congruency effect</kwd>
<kwd>spatial interference task</kwd>
<kwd>arrows</kwd>
</kwd-group>
<contract-sponsor id="cn001">Junta de Andaluc&#x000ED;a<named-content content-type="fundref-id">10.13039/501100011011</named-content></contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="63"/>
<page-count count="9"/>
<word-count count="8276"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Attention</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>The answer to the question &#x0201C;is eye-gaze a special stimulus&#x0201D; is often an obvious one. Routine behaviors like following the gaze direction of a stranger while walking down the street or our attention being caught by an advertisement model&#x00027;s gaze support the notion that eyes are a special type of stimuli. They convey unique information about others&#x00027; intentions, emotional expressions, and other mental states, which is often beneficial and sometimes critically important for our social interactions and survival (Baron-Cohen et al., <xref ref-type="bibr" rid="B3">1997</xref>; Emery, <xref ref-type="bibr" rid="B21">2000</xref>). However, the extent to which eye gaze uniquely engages human cognition and attention remains an open question in the broader understanding of human social behavior processes (see, for example, Blakemore et al., <xref ref-type="bibr" rid="B9">2004</xref>; Chac&#x000F3;n-Candia et al., <xref ref-type="bibr" rid="B14">2022</xref>). This issue has emerged recently in social neuroscience research, given that the available experimental procedures to measure social attention, such as the classical version of the gaze cueing paradigm, have failed to show quantitative differences between the abovementioned scenarios. In the gaze cueing paradigm, a face is presented unpredictably at fixation, gazing either left or right. A target is presented afterwards either in the cued or opposite locations. Participants are typically faster to detect or identify the target when the eye-gaze is directed toward the target location, as compared to when it is directed toward the opposite location (i.e., the so-called gaze cueing effect). There is debate in literature around the question of whether the gaze cueing effect is elicited by the directionality of the gaze cue (e.g., Tipples, <xref ref-type="bibr" rid="B52">2002</xref>) or the social information it carries (e.g., for review, see Birmingham and Kingstone, <xref ref-type="bibr" rid="B8">2009</xref>; Capozzi and Ristic, <xref ref-type="bibr" rid="B11">2018</xref>).</p>
<p>On the one hand, a recent systematic review and meta-analysis of the literature on social attention (Chac&#x000F3;n-Candia et al., <xref ref-type="bibr" rid="B14">2022</xref>) showed that, despite generating a large amount of data and a notably increased interest in multiple fields of research, the classical version of the cueing paradigm produces the same attentional effects for social directional cues, such as gaze, and non-social directional cues, such as arrows. This challenges the vastly extended intuition that social stimuli are special in modulating human attention and questions the potential utility of the classic cueing task in revealing social-specific attentional effects.<xref ref-type="fn" rid="fn0001"><sup>1</sup></xref> On the other hand, several studies have suggested that when other specific variant of the cueing task are used, the processing of eye-gaze direction may rely, at least in part, on the computation of mental states and intentions. For example, it has been observed that attentional orienting in response to eye-gaze direction is reduced when participants believe that the gazer is not able to see a potential target (Nuku and Bekkering, <xref ref-type="bibr" rid="B42">2008</xref>; Teufel et al., <xref ref-type="bibr" rid="B51">2010</xref>) or when its gaze behavior is believed to be controlled by a computer programme (Wiese et al., <xref ref-type="bibr" rid="B61">2012</xref>; Gobel et al., <xref ref-type="bibr" rid="B24">2018</xref>). Moreover, by using a variant of the double-rectangle task, some studies (Marotta et al., <xref ref-type="bibr" rid="B37">2012</xref>; Chac&#x000F3;n-Candia et al., <xref ref-type="bibr" rid="B13">2020</xref>) showed that cueing a portion of an object spreads attention across the entire object when arrows are used as cues, while it restricts attention at the specific portion of the cued object when eye-gaze cues are used. These findings are coherent with research showing that when reference objects are presented on the scene, gaze-cues trigger an attentional orienting only to the exact gaze-at object (Vuilleumier, <xref ref-type="bibr" rid="B59">2002</xref>; Wiese et al., <xref ref-type="bibr" rid="B62">2013</xref>). This &#x0201C;special&#x0201D; aspect of gaze attentional orienting may be mediated by theory of mind processes as a consequence of a specific intention automatically attributed to gaze but not arrows. Consistent with this view, Bayliss et al. (<xref ref-type="bibr" rid="B4">2006</xref>) adapted the gaze cueing task to investigate to what extent the direction of the gaze can be interpreted as a window into other&#x00027;s intentions. Specifically, in their study, participants had to mark how much they liked target objects after completing a cueing procedure. When eye-gaze was used as a cue, in addition to the classic cueing effect, it was found that objects that other people looked at were likelier than those that did not receive much attention from others. This affective preference for cued objects was not found when arrows were used as cues, despite observing the classic cueing attentional effect. Similarly, combining a traditional gaze cueing paradigm with a visual memory task, Dodd et al. (<xref ref-type="bibr" rid="B19">2012</xref>) and Gregory and Jackson (<xref ref-type="bibr" rid="B25">2017</xref>) have shown that, despite similar cueing attentional effects, only gaze cues but not arrow cues improved memory accuracy for cued information. This suggests that the eye-gaze stimulus -unlike arrows- is interpreted as an intentional cue that indicates interest and desire.</p>
<p>Taken together all these evidences are difficult to reconcile with the idea that gaze cueing exclusively reflects the operation of mechanisms that only respond to stimulus directionality and it has recently proposed by different authors that both domain-general and mentalizing processes play a crucial role in social orienting (Dalmaso et al., <xref ref-type="bibr" rid="B17">2015</xref>; Capozzi and Ristic, <xref ref-type="bibr" rid="B12">2020</xref>; Chac&#x000F3;n-Candia et al., <xref ref-type="bibr" rid="B14">2022</xref>).</p>
<p>All the above studies used variations of the cue-based paradigms where social or nonsocial stimuli were used as cues of the position of an upcoming target in combination with additional manipulations employed to measure extra processes related to target processing such as its selection, learning, memory and likeability.</p>
<p>Recently, target-based paradigms, such as the spatial interference task, have also been used to investigate the supposed uniqueness of gaze processing and attention (i.e., Marotta et al., <xref ref-type="bibr" rid="B38">2019</xref>; Rom&#x000E1;n-Caballero et al., <xref ref-type="bibr" rid="B44">2021b</xref>; Aranda-Mart&#x000ED;n et al., <xref ref-type="bibr" rid="B1">2022</xref>; Narganes-Pineda et al., <xref ref-type="bibr" rid="B41">2022</xref>). In this task, the critical social or nonsocial stimuli are used as targets instead of as cues. They are presented either to the left or to the right of the fixation point pointing either left or right, and participants are required to respond to the location the stimuli are pointing at. With this type of task, it has been generally observed that non-social stimuli such as words or arrows elicited faster responses when their direction was congruent with their position (e.g., right pointing arrows presented to the right; typical spatial congruency effect, SCE), whereas eye-gaze produced faster reaction times (RT) when it was incongruent (e.g., left looking eye-gaze presented to the right; the &#x0201C;reversed spatial congruency effect&#x0201D;, RCE). This dissociation has been studied and replicated by our and other different research groups and supports the intuition of a unique attentional mechanism for eye gaze stimuli (Torres-Mar&#x000ED;n et al., <xref ref-type="bibr" rid="B55">2017</xref>; Marotta et al., <xref ref-type="bibr" rid="B38">2019</xref>, <xref ref-type="bibr" rid="B36">2022</xref>; Edwards et al., <xref ref-type="bibr" rid="B20">2020</xref>; Ishikawa et al., <xref ref-type="bibr" rid="B29">2021</xref>; Rom&#x000E1;n-Caballero et al., <xref ref-type="bibr" rid="B43">2021a</xref>,<xref ref-type="bibr" rid="B44">b</xref>; Aranda-Mart&#x000ED;n et al., <xref ref-type="bibr" rid="B1">2022</xref>; Hemmerich et al., <xref ref-type="bibr" rid="B26">2022</xref>; Narganes-Pineda et al., <xref ref-type="bibr" rid="B41">2022</xref>; Tanaka et al., <xref ref-type="bibr" rid="B50">2022</xref>). Moreover, the fact that the RCE is modulated by the emotional expression of the target face (Jones, <xref ref-type="bibr" rid="B30">2015</xref>; Torres-Mar&#x000ED;n et al., <xref ref-type="bibr" rid="B55">2017</xref>; Marotta et al., <xref ref-type="bibr" rid="B36">2022</xref>) and the finding that only the RCE elicited by eye gaze but not the congruency effect elicited by arrows or words is negatively correlated with social anxiety scores (Ishikawa et al., <xref ref-type="bibr" rid="B29">2021</xref>) emphasize the social nature of this effect. However, which social mechanisms are responsible for the RCE are still under debate. In particular, according to the eye-contact hypothesis, the RCE has been interpreted as resulting from the incongruent gaze trials being misattributed by participants as direct gaze (Ca&#x000F1;adas and Lupi&#x000E1;&#x000F1;ez, <xref ref-type="bibr" rid="B10">2012</xref>; Marotta et al., <xref ref-type="bibr" rid="B40">2018</xref>). This bias would accelerate reaction times in this condition. On the other hand, according to the joint attention hypothesis (Edwards et al., <xref ref-type="bibr" rid="B20">2020</xref>), participants interpret gaze direction in incongruent trials as directed toward the fixation cross to which they are also looking, facilitating performance in this condition. Conversely, gaze discrimination is not facilitated when the eyes look away from where the participant is looking because joint attention cannot be established. Finally, according to the joint distraction hypothesis (Hemmerich et al., <xref ref-type="bibr" rid="B26">2022</xref>), in congruent trials eyes are directed away from where the participants are looking toward withdrawing attention from the relevant task area, consequently leading to the observed increase in RT in this condition.</p>
<p>Both joint attention and joint distraction hypotheses underline the importance of the sharing attention and theory of mind mechanisms on the emergence of RCE. This raises the critical issue of whether the RCE observed with eye-gaze stimuli might be generalized to other socio-biological stimuli, such as pointing fingers. Developmental research has shown that young infants display evidence of interpreting pointing fingers and gaze direction in referential terms and are very sensitive to the communicative situations in which these actions occur (Csibra, <xref ref-type="bibr" rid="B16">2003</xref>). Moreover, both stimuli are crucial to developing language understanding (Tomasello et al., <xref ref-type="bibr" rid="B54">2007</xref>). Other studies have shown that in healthy participants finger pointing cues elicit attentional orienting effects similar to those generally produced by eye-gaze cues (Langton and Bruce, <xref ref-type="bibr" rid="B32">2000</xref>; Belopolsky et al., <xref ref-type="bibr" rid="B7">2008</xref>; Sato et al., <xref ref-type="bibr" rid="B45">2009</xref>). Interestingly, some authors have found that gaze but not finger-pointing cues influence how objects are later valued (Ulloa et al., <xref ref-type="bibr" rid="B57">2015</xref>). Specifically, in Ulloa et al. (<xref ref-type="bibr" rid="B57">2015</xref>) study, participants had to mark how much they liked target objects after completing a cueing procedure. When eye-gaze was used as a cue, in addition to the classic attentional orienting effect, it was found that objects that other people looked at were likelier than those that did not receive much attention from others (liking effect; see also Tipples and Pecchinenda, <xref ref-type="bibr" rid="B53">2019</xref> for different results). This affective preference for cued objects was not found when pointing fingers were used as cues, despite the observation of the classic cueing attentional effect. Of relevance, the presence of a typical attentional orienting but the absence of a liking effect has also been observed in response to arrow cues (Bayliss et al., <xref ref-type="bibr" rid="B4">2006</xref>). This may suggest that only eye-gaze stimuli - unlike finger-pointing or arrows - are interpreted as an intentional cue that indicates interest and desire. The effects of finger-pointing and eye gaze on attention have also been compared in several studies with clinical populations. For example, reduced early attentional orienting has been observed in patients with anorexia nervosa in response to gaze and arrow cues but not pointing gestures (Dalmaso et al., <xref ref-type="bibr" rid="B17">2015</xref>). On the other hand, impairment in attentional orienting was observed in patients with schizophrenia only in response to gaze but not in response to finger-pointing and arrows (Dalmaso et al., <xref ref-type="bibr" rid="B18">2013</xref>). However, it is noteworthy that these cues show similar patterns of orienting attention on simple cueing tasks measured by reaction times in healthy controls (Sato et al., <xref ref-type="bibr" rid="B46">2010</xref>; Dalmaso et al., <xref ref-type="bibr" rid="B18">2013</xref>, <xref ref-type="bibr" rid="B17">2015</xref>). Therefore, pointing gestures represent a crucial comparison tool to evaluate the nature of the RCE elicited by eye-gaze. Indeed, it is a powerful referential cue that we use to draw attention to objects or persons, like gaze direction (Langton and Bruce, <xref ref-type="bibr" rid="B32">2000</xref>; Belopolsky et al., <xref ref-type="bibr" rid="B7">2008</xref>; Sato et al., <xref ref-type="bibr" rid="B45">2009</xref>). However, it does not reflect the same higher cognitive systems, such as the theory of mind mechanisms (Ulloa et al., <xref ref-type="bibr" rid="B57">2015</xref>). For this reason, this study examines how spatial interference effects triggered by eye-gaze stimuli differ from those elicited by finger-pointing gestures and typical non-social stimuli such as arrows. As mentioned above, previous studies have shown that in spatial interference tasks, the RCE is observed when a face with averted eyes or eye gaze alone is used as target stimuli, while the SCE is observed when non-social stimuli such as words or arrows are used. However, it remains unclear whether the RCE is unique to the eye-gaze stimuli or generalizes to other socio-biological stimuli, including the pointing finger. If the RCE is mediated by a common foundation that processes several socio-biological cues (e.g., orienting attention and signaling objects in the environment), then finger-pointing stimuli, like eye gaze, should elicit the RCE. In contrast, if RCE is mediated by mechanisms only elicited by eye-gaze stimuli (e.g., theory of mind mechanisms), finger-pointing should produce, as arrows, the SCE.</p>
</sec>
<sec id="s2">
<title>Experiment 1</title>
<sec>
<title>Participants</title>
<p>The study included 24 participants (17 women, 7 men) with a mean age of 23.13 years; they were all students from the University of Granada and received partial course credit for participating. All of them had self-reported normal or corrected-to-normal vision, and they were na&#x000EF;ve as to the purpose of the experiment. We estimated the required sample size assuming a significance level of .05 and a power of .9, taking as a reference the effect size obtained in Narganes-Pineda et al. (2022, Experiment 1).</p>
</sec>
<sec>
<title>Apparatus and stimuli</title>
<p>Stimuli presentation, timing, and data collection were controlled by a program written using E-prime 2.0 (Schneider et al., <xref ref-type="bibr" rid="B47">2002</xref>) run on a standard Pentium 4 PC. Stimuli were presented on a 17<sup>&#x02032;&#x02032;</sup> widescreen monitor with a 1024 &#x000D7; 768 pixel resolution. They consisted of two black arrows display, two full color cropped eyes, or two fingers subtending a 1&#x000B0; &#x000D7; 4&#x000B0; degrees of visual angle at a viewing distance of 57 cm. Cropped eyes were obtained by manipulating an original face (taken from the MacBrain Face Stimulus Set; <ext-link ext-link-type="uri" xlink:href="https://www.macbrain.org/resources.htm">https://www.macbrain.org/resources.htm</ext-link>)<xref ref-type="fn" rid="fn0002"><sup>2</sup></xref> with Adobe Photoshop CS.</p>
</sec>
<sec>
<title>Procedure</title>
<p>After expressing their consent to participate in the study, participants filled in a short version of Autism-Spectrum Quotient (AQ-10) by Baron-Cohen et al. (<xref ref-type="bibr" rid="B2">2001</xref>). It is a 10 items self-report measure of autistic spectrum-related traits in adults with normal intelligence. For each item, participants had to respond on a 4-points Likert scale ranging from <italic>definitely disagree</italic> to <italic>definitely agree</italic>. Due to previous works showing that the degree of autistic traits is inversely related to the ability to draw mentalistic inferences from the eyes (Baron-Cohen et al., <xref ref-type="bibr" rid="B2">2001</xref>), the attentional cueing from eye-gaze (Bayliss and Tipper, <xref ref-type="bibr" rid="B6">2005</xref>; Bayliss et al., <xref ref-type="bibr" rid="B5">2005</xref>) and the processing of eye-gaze direction in spatial interference task (Marotta et al., <xref ref-type="bibr" rid="B36">2022</xref>), in the present study we used the AQ-10 to exclude participants with a score of 6 or higher. According to the test, this cut-off is indicative of autism or a significant number of autistic traits. No participant was excluded from both Experiments 1 and 2.</p>
<p>Then participants were conducted in a sufficiently lit room where they seated &#x0007E;60 cm from the computer screen; they were instructed to put on headphones. They were required to perform a discrimination task in which they had to respond as fast and accurately as possible to the direction (left or right) indicated by the eye gaze, arrows or fingers. The experiment consisted of three experimental blocks (one for each target type), each composed of 15 practice trials followed by 72 experimental trials. The order of blocks was counterbalanced across participants.</p>
<p>Each trial (see <xref ref-type="fig" rid="F1">Figure 1</xref>) began with a fixation cross presented in the center of a white screen for 1 s. Participants were instructed to fixate on the cross. Then a pair of eyes, arrows, or fingers looking/pointing to the right or the left was presented to either the left or the right of the fixation cross until the participant&#x00027;s response or for 2 s.<xref ref-type="fn" rid="fn0003"><sup>3</sup></xref> The distance from the center of the lateral stimulus to the central fixation cross subtended 4.8&#x000B0; of visual angle. Participants were instructed to press the &#x0201C;Z&#x0201D; key in response to targets indicating the left and the &#x0201C;M&#x0201D; key in response to targets indicating the right, independent of the target&#x00027;s location. Feedback was provided when the participants did not respond to the trial and for incorrect responses. In the latter case, a 220 Hz tone was presented for 1,500 ms. Visual feedback of the same duration was provided in the center of the screen when no response was detected. Importantly, this design produced congruent (e.g., a right-indicating target presented on the right) or incongruent trials (e.g., a left-indicating target presented on the right). An equal number of congruent and incongruent trials were presented throughout the experiment.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Schematic view of a trial sequence from the left to right. One of the three types of target were used: gaze, finger and arrow targets. The example represents incongruent trials. The speaker icon represents the given auditory feedback.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcogn-02-1135435-g0001.tif"/>
</fig>
</sec>
<sec>
<title>Design</title>
<p>The experiment had a two-factor repeated measures design, with 36 observations per experimental condition. Data were submitted to a 3 (Target type) &#x000D7; 2 (Congruency) repeated measures ANOVA. Target type had three levels: gaze, arrow and finger. Congruency had two levels: congruent and incongruent trials. <italic>Post-hoc</italic> tests were conducted to analyze the interactions. For each participant, median RTs and accuracy (as mean percent errors) were calculated for each experimental condition. Original data to this study can be found online at: <ext-link ext-link-type="uri" xlink:href="https://osf.io/trzbk/">https://osf.io/trzbk/</ext-link></p>
</sec>
<sec>
<title>Results</title>
<p>Incorrect responses (2% of the trials) were excluded from the RT analysis. <xref ref-type="table" rid="T1">Table 1</xref> shows the median (&#x000B1; SDs) of the RTs and percentages of errors for each experimental condition.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Medians (RT in milliseconds), standard deviation (SD) and percentage of incorrect responses (%IR) for each experimental condition.</p></caption> 
<table frame="box" rules="all">
<thead>
<tr style="background-color:&#x00023;919498;color:&#x00023;ffffff">
<th valign="top" align="left"><bold>Target type</bold></th>
<th valign="top" align="center"><bold>Congruency</bold></th>
<th valign="top" align="center"><bold>RT</bold></th>
<th valign="top" align="center"><bold>SD</bold></th>
<th valign="top" align="center"><bold>%IR</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Fingers</td>
<td valign="top" align="center">Congruent</td>
<td valign="top" align="center">463.87</td>
<td valign="top" align="center">105.91</td>
<td valign="top" align="center">0.25</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Incongruent</td>
<td valign="top" align="center">496.27</td>
<td valign="top" align="center">104.99</td>
<td valign="top" align="center">3.33</td>
</tr>
<tr>
<td valign="top" align="left">Arrow</td>
<td valign="top" align="center">Congruent</td>
<td valign="top" align="center">465.12</td>
<td valign="top" align="center">68.23</td>
<td valign="top" align="center">0.62</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Incongruent</td>
<td valign="top" align="center">504.27</td>
<td valign="top" align="center">72.27</td>
<td valign="top" align="center">4.54</td>
</tr>
<tr>
<td valign="top" align="left">Gaze</td>
<td valign="top" align="center">Congruent</td>
<td valign="top" align="center">610.14</td>
<td valign="top" align="center">73.02</td>
<td valign="top" align="center">1.62</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Incongruent</td>
<td valign="top" align="center">574.85</td>
<td valign="top" align="center">79.52</td>
<td valign="top" align="center">2</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec>
<title>Reaction times</title>
<p>The ANOVA performed on RTs showed a main effect of target type, <italic>F</italic><sub>(2,46)</sub> = 50.87, <italic>p</italic> &#x0003C; 0.001, <italic>&#x003B7;<sup>2</sup><sub>p</sub></italic> = 0.69, with slower RTs for the gaze targets (592 ms) compared to both arrows (485 ms; F<sub>1,23</sub> = 118.15, <italic>p</italic> &#x0003C; 0.001) and finger pointing targets (480 ms; F<sub>1,23</sub> = 67.05, <italic>p</italic> &#x0003C; 0.001); RTs were not significantly different between arrow targets and fingers pointing targets (F<sub>1,23</sub> &#x0003C; 1). The main effect of congruency was also significant, <italic>F</italic><sub>(1,23)</sub> = 8.76, <italic>p</italic> = 0.007, <italic>&#x003B7;<sup>2</sup><sub>p</sub></italic> = 0.27, with slower RTs for incongruent than congruent trials (524 ms vs. 513 ms). Importantly, the critical target type &#x000D7; congruency interaction was significant, <italic>F</italic><sub>(2,46)</sub> = 23.77, <italic>p</italic> &#x0003C; 0.001, = 0.51 (<xref ref-type="fig" rid="F2">Figure 2</xref>). <italic>Post-hoc</italic> tests on each target type showed that RTs were significantly longer on incongruent than on congruent trials when both arrows and fingers were used as the targets, <italic>F</italic><sub>(1,23)</sub> = 39.07, <italic>p</italic> &#x0003C; 0.001, = 0.63 and <italic>F</italic><sub>(1,23)</sub> = 67.83, <italic>p</italic> &#x0003C; 0.001, = 0.75, respectively; in contrast, RTs were significantly faster on incongruent than on congruent trials when eye gaze was used as the target, <italic>F</italic><sub>(1,23)</sub> = 9.03, <italic>p</italic> = 0.006, = 0.28.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Medians (RT in milliseconds) for each type of target and experimental condition. Error bars represent standard errors of the means.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcogn-02-1135435-g0002.tif"/>
</fig>
</sec>
<sec>
<title>Errors</title>
<p>The analysis of errors showed a main effect of congruency, <italic>F</italic><sub>(1,23)</sub> = 17.98, <italic>p</italic> = 0.001 = 0.44, with more errors for incongruent (3.28%) than congruent trials (0.83%). The main effect was target type was not significant, <italic>F</italic><sub>(2,46)</sub> = 1.15, <italic>p</italic> = 0.326. The target type &#x000D7; congruency interaction was also significant, <italic>F</italic><sub>(2,46)</sub> = 5.27, <italic>p</italic> = 0.009 = 0.19. <italic>Post hoc</italic> tests on each target type showed that participants made more errors on incongruent than on congruent trials when both arrows and fingers were used as the targets, <italic>F</italic><sub>(1,23)</sub> = 24.20, <italic>p</italic> &#x0003C; 0.001, = 0.51 and <italic>F</italic><sub>(1,23)</sub> = 8.3, <italic>p</italic> = 0.008, = 0.26, in contrast, no difference between incongruent and congruent trials were observed when eye gaze was used as the target, <italic>F</italic> &#x0003C; 1.</p>
</sec>
</sec>
</sec>
<sec id="s3">
<title>Experiment 2</title>
<p>The primary aim of this experiment was to replicate and extend the findings of Experiment 1. Importantly we wanted to investigate whether the different congruency effects elicited by the three types of stimuli (eye gaze, arrows, and finger pointing) would also be observed even when they are presented within the same block of trials in a random sequence. The type of target stimuli was manipulated between experimental blocks in the previous experiment. Thus, participants might have adopted different strategies for the different target conditions. Consequently, the different findings observed in the three conditions might not be related to different attentional mechanisms elicited by each stimulus type; instead, they might be determined by the different attentional strategies adopted by participants. In order to control for this possibility and to replicate the main findings obtained in the previous studies, we will conduct the present study using a within-block design. It will replicate Experiment 1, except that the type of stimulus will vary randomly across trials. Such a within-block design will prevent participants from adopting a specific &#x0201C;task set&#x0201D; according to the type of stimuli used as targets.</p>
<sec>
<title>Method</title>
<p>Stimuli and procedure were nearly identical to those used in Experiment 1, except for the order of targets: trials with eye-gaze, arrows and finger pointing were randomly interspersed in each of the three blocks of trials. A different group of 22 participants (17 women, 5 men) participated in this experiment, with the same characteristics as those of Experiment 1. We estimated the required sample size assuming a significance level of .05 and a power of .9, taking as a reference the effect size obtained in Experiment 1.</p>
</sec>
<sec>
<title>Design</title>
<p>Data were submitted to a 3 (Target type) &#x000D7; 2 (Congruency) repeated measures ANOVA. Target type had three levels: gaze, arrow and finger. Congruency had two levels: congruent and incongruent trials. <italic>Post hoc</italic> tests were conducted to analyze the interactions.</p>
</sec>
<sec>
<title>Results</title>
<p>Trials with incorrect responses (3%) were excluded from the RT analysis. <xref ref-type="table" rid="T2">Table 2</xref> shows the medians (&#x000B1; SDs) of the RTs and percentages of errors for each experimental condition.<xref ref-type="fn" rid="fn0004"><sup>4</sup></xref></p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Medians (RT in milliseconds), standard deviation (SD), and percentage of incorrect responses (%IR) for each experimental condition.</p></caption> 
<table frame="box" rules="all">
<thead>
<tr style="background-color:&#x00023;919498;color:&#x00023;ffffff">
<th valign="top" align="left"><bold>Target type</bold></th>
<th valign="top" align="center"><bold>Congruency</bold></th>
<th valign="top" align="center"><bold>RT</bold></th>
<th valign="top" align="center"><bold>SD</bold></th>
<th valign="top" align="center"><bold>%IR</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Fingers</td>
<td valign="top" align="center">Congruent</td>
<td valign="top" align="center">499.48</td>
<td valign="top" align="center">55.16</td>
<td valign="top" align="center">0.82</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Incongruent</td>
<td valign="top" align="center">519.93</td>
<td valign="top" align="center">58.9</td>
<td valign="top" align="center">2</td>
</tr>
<tr>
<td valign="top" align="left">Arrow</td>
<td valign="top" align="center">Congruent</td>
<td valign="top" align="center">475.25</td>
<td valign="top" align="center">53.22</td>
<td valign="top" align="center">0.68</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Incongruent</td>
<td valign="top" align="center">508.73</td>
<td valign="top" align="center">54.98</td>
<td valign="top" align="center">1.54</td>
</tr>
<tr>
<td valign="top" align="left">Gaze</td>
<td valign="top" align="center">Congruent</td>
<td valign="top" align="center">640.11</td>
<td valign="top" align="center">79.88</td>
<td valign="top" align="center">4.77</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">Incongruent</td>
<td valign="top" align="center">611.93</td>
<td valign="top" align="center">87.87</td>
<td valign="top" align="center">5.86</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec>
<title>Reaction times</title>
<p>The ANOVA performed on RTs showed a main effect of target type, <italic>F</italic><sub>(2,42)</sub> = 188.84, <italic>p</italic> &#x0003C; 0.001, <italic>&#x003B7;<sup>2</sup><sub>p</sub></italic> = 0.89, with slower RTs for the gaze targets (626 ms) compared to both arrows (492 ms; F<sub>1,21</sub> = 228.40. <italic>p</italic> &#x0003C; 0.001) and finger pointing targets (510 ms; F<sub>1,21</sub> = 171.65, <italic>p</italic> &#x0003C; 0.001); RTs were significantly slower for finger pointing than for arrows targets (F<sub>1,21</sub> = 28.61, <italic>p</italic> &#x0003C; 0.001). The main effect of congruency was not significant, <italic>F</italic><sub>(1,21)</sub> = 4.06, <italic>p</italic> = 0.057, <italic>&#x003B7;<sup>2</sup><sub>p</sub></italic> = 0.16. Importantly, the critical target type &#x000D7; congruency interaction was significant, <italic>F</italic><sub>(2,42)</sub> = 18.09, <italic>p</italic> &#x0003C; 0.001, = 0.046 (<xref ref-type="fig" rid="F3">Figure 3</xref>). <italic>Post hoc</italic> tests on each target type showed that RTs were significantly longer on incongruent than on congruent trials when both arrows and fingers were used as the targets, <italic>F</italic><sub>(1,21)</sub> = 37.64, <italic>p</italic> &#x0003C; 0.001, = 0.64 and <italic>F</italic><sub>(1,21)</sub> = 19.51, <italic>p</italic> &#x0003C; 0.001, = 0.48, respectively; in contrast, RTs were significantly faster on incongruent than on congruent trials when eye gaze was used as the target, <italic>F</italic><sub>(1,21)</sub> = 6.62, <italic>p</italic> = 0.018, = 0.24.</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Medians (RT in milliseconds) for each type of target and experimental condition. Error bars represent standard errors of the means.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcogn-02-1135435-g0003.tif"/>
</fig>
</sec>
<sec>
<title>Errors</title>
<p>Only the main effect of target type was significant, <italic>F</italic><sub>(2,42)</sub> = 27.02, <italic>p</italic> &#x0003C; 0.001, = 0.56, with more errors for the eye-gaze targets compared to both arrows (F<sub>1,21</sub> = 31.65, <italic>p</italic> &#x0003C; 0.001) and finger pointing targets (F<sub>1,21</sub> = 36.05, <italic>p</italic> &#x0003C; 0.001); no differences were observed between finger and arrow targets (<italic>F</italic> &#x0003C; 0.1). Neither the main effect of congruency, <italic>F</italic><sub>(1,21)</sub> = 2.39, <italic>p</italic> = 0.137, nor the target type &#x000D7; congruency interaction was significant, <italic>F</italic> &#x0003C; 1.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The present study aimed to explore if the RCE elicited by eye-gaze stimuli can be generalized to another powerful, social, referential, and attention-orienting stimulus, such as finger-pointing. To this aim, congruency effects elicited by eye gaze, finger-point, and arrows were compared in a context of a spatial interference task. Consistent with previous studies, we observed that the eye gaze and arrow stimuli led to opposite spatial interference effects, with arrows producing the SCE (e.g., faster RTs when the arrow direction was congruent with its position) and eye gaze producing the RCE (faster RTs when eyes direction was incongruent with its position). Of relevance for the present study, we also showed that finger-pointing did not elicit the RCE instead of a robust SCE similar to that produced by arrows. These results indicate that RCE elicited by eye-gaze stimuli is not generalizable to finger-pointing stimuli. This may suggest that the joint attention explanation of the RCE is not the correct one, since pointing with the index finger has been generally considered a crucial tool for referring to the intentions and actions of others. However, the debate about whether the influence of pointing gestures on visual attention reflects higher cognitive systems, such as the theory of mind mechanisms, is still open. Therefore, before acknowledging the possible limitations of this study, we will mention which important aspects could differentiate eye-gaze direction and finger-pointing as referential stimuli. As suggested by Ulloa et al. (<xref ref-type="bibr" rid="B57">2015</xref>), although both gaze and finger-pointing are useful stimuli for signaling objects of interest in the environment, an important difference between these two types of stimuli is that eye gaze is intrinsically bearing on other&#x00027;s preferences and intentions (Baron-Cohen et al., <xref ref-type="bibr" rid="B3">1997</xref>; Ulloa and George, <xref ref-type="bibr" rid="B56">2013</xref>). Consistent with this view, they showed that when eye-gaze stimuli were used as cues, a robust attentional orienting effect was observed, and participants liked the objects looked at by others more than non-looked-at objects (liking effect). However, when finger-pointing was used as a cue, only attentional orienting was observed, while the liking effect was absent. Thus, finger-pointing, like arrows, may not communicate information about others&#x00027; preferences <italic>per se</italic>. This is a fundamental property of the joint attention and mentalizing processes that may underlie the RCE and would explain why only eye-gaze stimuli elicit it.</p>
<p>Recently, to explain the dissociation observed between the spatial congruency effects observed with eye-gaze and arrow stimuli, we proposed an integrated framework in which both domain-general attentional and domain-specific social processes contribute to the RCE (Chac&#x000F3;n-Candia et al., <xref ref-type="bibr" rid="B14">2022</xref>; Hemmerich et al., <xref ref-type="bibr" rid="B26">2022</xref>). In particular, on the one hand, domain-general attentional processes linked to the stimulus&#x00027;s pointing direction and its spatial location would lead to either congruent or incongruent responses, producing a standard congruency effect. On the other hand, additional &#x0201C;special&#x0201D; processes would take place in the case of eye-gaze, reverting the nature of the spatial conflict. In the context of this framework, our results suggest that only eye-gaze stimuli elicited social-specific unique processes, while the congruency effect elicited by arrows and finger-pointing can only rely on domain-general attentional processes.</p>
<p>Moreover, the fact that finger-pointing produced a robust SCE similar to that observed with arrows suggests that it can function as a symbolic cue acquired through daily experience and learning rather than functioning as a socio-biologically cue, such as a gaze cue. Indeed, infants as young as 3 months attend in the same direction as the eyes of an adult face (Hood et al., <xref ref-type="bibr" rid="B28">1998</xref>), while pointing is acquired at &#x0007E;12 months (Liszkowski et al., <xref ref-type="bibr" rid="B34">2004</xref>). Consequently, these results reflect the earlier establishment of gaze direction as a cue than the establishment of pointing with a finger. Taken together, our results are consistent with the view that eye gaze has a special status in non-verbal communication and social cognition. However, the possibility that RCE generalizes to other types of social stimuli cannot be excluded. Indeed, from a perspective of cross-cultural study, pointing with hand gestures is not necessarily one of the most powerful, social, referential stimuli since at least some communities prefer face-related stimuli such as the nose or head orientation (Cooperrider et al., <xref ref-type="bibr" rid="B15">2018</xref>). Moreover, our experiment used an image including only hands and fingers as a finger-pointing stimulus. It is possible that this type of impoverished stimulus was not able to communicate the intention and trigger mentalizing processes. Finally, whether the RCE reflects social processing or not is still open. Additional studies must examine whether mentalizing or other social processes mediate this effect. Moreover, consistent with previous studies, responses were generally slower for gaze than arrow stimuli (Vlamings et al., <xref ref-type="bibr" rid="B58">2005</xref>; Hietanen et al., <xref ref-type="bibr" rid="B27">2006</xref>). They were also slower for gaze than finger stimuli. In this study we chose to use realistic eye-gaze stimuli to ensure their approximation to a real social situation. Nevertheless, this may have affected the complexity of stimuli direction detection, being eye gazes direction more difficult as compared to arrows and fingers direction. From our point of view, the slowing of reaction times observed for gaze stimuli may be due to both their social significance and complexity that induces a greater exploration of it. Supporting this view, Vlamings et al. (<xref ref-type="bibr" rid="B58">2005</xref>) showed slower reaction times after eye-gaze than arrow stimuli only in typically developed individuals but not in individuals with autism, who are generally referred to as impaired in social attention behavior (Leekam et al., <xref ref-type="bibr" rid="B33">2000</xref>; Werner et al., <xref ref-type="bibr" rid="B60">2000</xref>; Marotta et al., <xref ref-type="bibr" rid="B37">2012</xref>). However, this does not rule out the possibility that the complexity of the three types of stimuli may have partially affect the different congruency effects observed among the three types of stimuli in our study. A previous study showed that when eye-gaze stimuli were compared with equivalent complex non-social stimuli (e.g. inverted triangles) using the spatial interference paradigm, equivalent RTs were observed while preserving the opposite congruency effects observed between eye-gaze and no-social stimuli (Ca&#x000F1;adas and Lupi&#x000E1;&#x000F1;ez, <xref ref-type="bibr" rid="B10">2012</xref>). This may suggest that differences between gaze and other stimuli are due to his social meaning rather than to his increased complexity. However, further studies manipulating the complexity of both social and non-social stimuli direction are surely necessary to shed light on this issue.</p>
<p>Finally, it is important to know that the interference task we used is a Simon &#x0002B; Spatial Stroop task, in other words, a type 7 dimensional overlap according to Kornblum et al. (<xref ref-type="bibr" rid="B31">1992</xref>) taxonomy. Given the compatible mapping between the stimulus direction and the response location (for example, an arrow pointing left always required a left response), two sources of spatial congruency may have contributed to our measure of the congruency effects. In particular, on incongruent trials, there was a stimulus&#x02013;stimulus (S-S) source of spatial conflict between the irrelevant stimulus location and the relevant stimulus direction, as well as a stimulus&#x02013;response (S-R) source of spatial conflict between the irrelevant stimulus location and the response location. This second type of spatial congruency is usually referred to as the Simon effect (see Simon and Small Jr, <xref ref-type="bibr" rid="B49">1969</xref>; Simon et al., <xref ref-type="bibr" rid="B48">1973</xref>; Lu and Proctor, <xref ref-type="bibr" rid="B35">1995</xref>, for a review). As such, it is unclear which of these two sources of spatial conflict was reversed by eye-gaze stimuli. In a recent study using an implicit version of the spatial interference task in which participants were required to respond to the color of both directional eyes-gaze and arrow stimuli (Narganes-Pineda et al., <xref ref-type="bibr" rid="B41">2022</xref>; Experiment 2), a compatible response mapping was directly compared with an incompatible response mapping, where participants respond with left keypresses to stimuli pointing right and right keypresses to stimuli pointing left. The results of this study revealed a similar Simon effect (S-R spatial conflict) with both eye-gaze and arrow stimuli. This may suggest that the Simon effect is not modulated by the type of stimuli. However, in this type of implicit task, S-S spatial conflict effects were not observed either with arrows or with eye-gaze. Therefore, it is unknown if the Simon effect can contribute to the congruency effects observed in the explicit version of the task, such as that we used in the present study. On the other hand, in another experiment of the same study (Narganes-Pineda et al., <xref ref-type="bibr" rid="B41">2022</xref>; Experiment 3), it was observed that when the manual Simon effect was eliminated using a verbal task (see Experiment 3) the interaction between Target Type and Congruence (a standard congruency effect with arrows and a reversed congruency effect with eye-gaze) was still observed. This suggests that the manual generation of a spatial response is not responsible for the congruency differences observed between eye gaze and arrows. However, since the Simon effect has been reported also with vocal responses (W&#x000FC;hr, <xref ref-type="bibr" rid="B63">2006</xref>) the possibility that it can contribute to the different congruency effects observed in our study cannot be ruled out. In any case, we humbly consider that the important point of the present study is not whether eye-gaze modulates S-R or S-S source of spatial compatibility, but that it produces opposite congruency effects as compared to other social and non-social stimuli such as directional fingers and arrows.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>The present study is the first to examine the effect of different types of social and non-social stimuli on spatial congruency effects. Results indicate that the RCE was only elicited by eye-gaze stimuli while pointing fingers and arrows elicited the SCE. This suggests that the RCE is specific to gaze stimuli and underlie their importance for the human attentional systems.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<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 sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by the University of Granada Ethical Committee. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>AM: conceptualization, funding acquisition, analysis and interpretation of results, and draft manuscript preparation. SB: analysis and interpretation of results and draft manuscript preparation. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This work was supported by the Department of University, Research, and Innovation of the Regional Government of Andalusia and the European Regional Development Fund (FEDER), through research project B-SEJ-572-UGR20 to AM.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>The author AM declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision. The remaining author declares 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>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<fn-group>
<fn id="fn0001"><p><sup>1</sup>Using the so-called counterpredictive cueing paradigm (the target was more likely to appear in the location opposite the one indicated by the cue), Friesen et al. (2004) showed that better performance at the indicated location was only observed when eye gaze was used as cue, but not when the indicated location was cued by an arrow. However, using the same paradigm, Tipples (2008) found that both eye and arrow cues produce similar reflexive shifts of attention, while Guzzon et al. (2010; Experiment 1) observed an early (i.e., from 100 ms) advantage for the predicted, although spatially not signaled, positions for both eye gaze and arrow cues. A recent meta-analysis showed that in counterpredictive paradigms eye gaze and arrow cues produce similar reflexive shifts of attention since a significant and early cueing effect (around 100&#x02013;200 ms) was observed with both types of cues.</p></fn>
<fn id="fn0002"><p><sup>2</sup>The face stimulus was drawn from the NimStim Face Stimulus Set, developed by NimTottenham and supported by the John D. and Catherine T. MacArthur Foundation ResearchNetwork on Early Experience and Brain Development. Please contact Nim Tottenham, <ext-link ext-link-type="uri" xlink:href="https://attott0006&#x00040;tc.umn.edu">attott0006&#x00040;tc.umn.edu</ext-link>, for more information concerning the stimulus set.</p></fn>
<fn id="fn0003"><p><sup>3</sup>Consistent with the majority of the studies investigating the reversion of the spatial congruency effect, in the present study gaze targets were presented until the behavioural response (Torres-Mar&#x000ED;n et al., <xref ref-type="bibr" rid="B55">2017</xref>; Marotta et al., <xref ref-type="bibr" rid="B38">2019</xref>, <xref ref-type="bibr" rid="B36">2022</xref>; Edwards et al., <xref ref-type="bibr" rid="B20">2020</xref>; Ishikawa et al., <xref ref-type="bibr" rid="B29">2021</xref>; Hemmerich et al., <xref ref-type="bibr" rid="B26">2022</xref>; Tanaka et al., <xref ref-type="bibr" rid="B50">2022</xref>). However, to our knowledge, the effect of the gaze target duration on congruency effect has never been investigated in the context of a spatial interference task. When eye-gaze stimuli have been used as cues, instead of as targets, it has been shown that from an SOA of 200 ms, the cueing effect with both gaze and arrow decreased progressively as the cue-target interval increased. This reduction in the magnitude of the effect was more pronounced with short cues (&#x02264;300 ms of duration) compared to long cues (for a meta-analysis of the cueing literature, see Chac&#x000F3;n-Candia et al., <xref ref-type="bibr" rid="B14">2022</xref>). Moreover, some studies have shown that at very long SOAs (2400 ms) responses to targets presented at the gazed location are slower than to targets presented at the ungazed location, leading to the well-known inhibition of return (IOR) effect (Frischen and Tipper, <xref ref-type="bibr" rid="B23">2004</xref>; Frischen et al., <xref ref-type="bibr" rid="B22">2007</xref>; Marotta et al., <xref ref-type="bibr" rid="B39">2013</xref>). However, is important to know that in our task gaze stimuli were used as targets not as cues. Further studies are surely necessary to investigate the effect of target duration in a context of a spatial interference task.</p></fn>
<fn id="fn0004"><p><sup>4</sup>To check if there was a speed-accuracy trade-off only for some of the 3 types of stimuli, a Pearson correlation was conducted between reaction times and error for each type of stimuli. In Experiment 1 a negative correlation was observed for arrows (<italic>r</italic> = &#x02212;0.4502 <italic>p</italic> = 0.027) and eye-gaze (<italic>r</italic> = &#x02212;0.4239 <italic>p</italic> = 0.039), but not for fingers (<italic>r</italic> = 0.3458 <italic>p</italic> = 0.098). In Experiment 2, none of the correlations was significant (arrows: <italic>r</italic> = &#x02212;0.0476 <italic>p</italic> = 0.833; eye-gaze: <italic>r</italic> = &#x02212;0.1077 <italic>p</italic> = 0.633; fingers: <italic>r</italic> = &#x02212;0.0512 <italic>p</italic> = 0.821).</p></fn>
</fn-group>
<ref-list>
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