Imagine you are driving on an unfamiliar highway, on your way to a dinner party, while searching for your exit from the main road you are on. Your gaze shifts between the road and the overhead signs, trying to match them with the exit number you have memorized. Just when you think you have spotted your exit in the distance, a ring of your phone interrupts your focus. You briefly glance at your phone and discover it is not important. This interruption, although brief, causes you to miss your exit, disrupting your journey and increasing the likelihood of being late for the party.

The scenario above, searching for your exit, exemplifies visual search, the act of locating a target among distractors. Visual search is a common daily behavior; for example, recognizing a street sign in a busy cityscape. Experimentally, this behavior has been explored through various tasks like finding a target letter among a set of other letters (Horowitz and Wolfe, 1998; Höfler et al., 2014), identifying a word on a list (Lawrence, 1971; Radhakrishnan et al., 2022), or locating one specific image among a collection of images (Yang and Zelinsky, 2009; Höfler and Hübel, 2018; Stankov et al., 2021).

Traditionally, interruptions have been conceptualized as temporary cessations of a primary task, typically to divert attention to an alternative task, with the anticipation that the original task will be resumed at a later time, usually once the alternative task is resolved (Boehm-Davis and Remington, 2009). Moreover, since the first pioneering works studying the effect of interruptions (Freeman, 1930), the literature has consistently emphasized the prevailing negative impacts of interruptions on the interrupted task. For our review, we chose to employ a wider definition of interruption: an event that disrupts the search task without necessarily terminating it or initiating a new one.

Scientific research aimed at understanding the impact of interruptions on search tasks has employed a variety of methodologies. These include conducting experiments where participants search for a specific letter and are interrupted by a memory recall task (Beck et al., 2006), interrupting their search with a secondary task under simulated real-world conditions (Kujala, 2013), and naturalistic observation of interruptions in real-world settings (Cades et al., 2010). In the realm of experimental research on interruptions, it is common to let participants resume the interrupted task after interruption. However, in cases of frequent or extended interruptions, returning to the original task might involve substantial cognitive costs and require reengagement of attentional and memory processes (Hirsch et al., 2023). Furthermore, there might be instances where resumption of the original task becomes impossible due to the nature of the interruption. For example, interruptions such as time constraints can make resuming the original task unfeasible due to the irreversible loss of the allocated time for task completion (Höfler et al., 2011; Nachtnebel et al., 2023).

Literature on interruptions often underscores their negative impact on task performance, such as reduced accuracy (Wynn et al., 2018) and longer completion times in the interrupted task (Crews and Russ, 2020). However, it is important to note that interruptions are not necessarily detrimental, and that this prevailing characterization overlooks instances where interruptions may be beneficial. In some instances, well-timed interruptions can enhance productivity by providing necessary mental breaks, thereby improving focus and creativity upon task resumption (Mark et al., 2014). Moreover, interruptions in the form of queries, where additional information is actively sought out, might be necessary for the successful completion of the originally interrupted task (Jin and Dabbish, 2009).

Although the role of interruptions in visual search has sparked some scholarly interest, the subject does not form a cohesive field. Instead, research is spread across various disciplines, each contextualized within its broader domain. For instance, this topic has been explored in the fields of human-machine interaction (Brazzolotto and Michael, 2021), medical imaging (Drew et al., 2018), airport security (Rieger et al., 2021), and basic research in cognitive psychology (Lleras et al., 2005). Despite this fragmented landscape, to the best of our knowledge, no current studies aim to consolidate the scattered insights on the impact of interruptions in visual search. This lack of synthesis underscores the need for a review that collects and consolidates these diverse findings. Therefore, our objective is to present a review that acts as a foundational step in fostering a more cohesive understanding of this subject. By integrating these isolated works, we aim to work toward a unified perspective on how interruptions affect visual search tasks.

Grasping the nuances of interruptions in visual search is vital not only for academic research but also for its practical applications in fields as diverse as defense (Rice and Trafimow, 2012), healthcare (Williams and Drew, 2017) and digital interface design (Kujala and Saariluoma, 2011). In these areas, understanding how interruptions influence visual search can lead to significant improvements in performance and safety. Through our work, we intend to highlight current knowledge gaps, and propose potential avenues for future research. We hope our review will not only spark interest but also inspire further studies. This, in turn, would contribute to the advancement of our understanding of the consequences of interruptions in visual search.

We employed a systematic review methodology, conforming to the guidelines of the PRISMA framework (Moher et al., 2009). Our literature search was conducted in October 2023, across the following databases: APA PsycNet, IEEE Xplore, PubMed, Sage Journals, ScienceDirect, Scopus, SpringerLink, and Web of Science. We used the keywords “visual search” AND (“interruption” OR “interruptions”) as queries. We focused exclusively on peer-reviewed articles from scholarly journals and did not apply any publication year filters. The initial results were uploaded to EndNote (The EndNote Team, 2013) for duplicate checking and subsequently imported into Rayyan (Ouzzani et al., 2016), an online tool designed for abstract screening.

After removing duplicates, the initial set of 167 records was reduced to 109. These remaining abstracts were further evaluated for eligibility by AJCD, SJN, and MH based on pre-established inclusion criteria: (i) the study employed an experimental approach; (ii) the paper was authored in English; (iii) adult human subjects participated in the research; and (iv) no clinical samples were part of the study. Additionally, it is important to note that, while some of the studies reviewed included experiments without interruptions, our analysis concentrated exclusively on experiments that deliberately incorporated interruptions into their design. Following the application of these inclusion criteria, resulting discrepancies among the authors were resolved through further discussion.

Twenty-two articles were initially selected for full-text review. Following the comprehensive full-text review, four of these articles were excluded because visual search did not constitute the main experimental task of the experiments. Additional manual searches, which involved examining the reference lists of these selected articles, led to the identification of ten more articles for potential inclusion. The final corpus for review comprised 28 articles. A PRISMA flow diagram (Moher et al., 2009) depicting the review process is shown in Figure 1.

We collected and compiled data from each of the chosen studies, including the reference, sample size, country of data collection, main search task, implementation of interruption, interruption onset, interruption frequency main results, all of which are detailed in Table 1. The sample size ranged from 1 to 150 participants. Half (14) of the studies reviewed were conducted in the United States, followed by seven in Canada, two in Austria, two in France, two in Germany and one in the United Kingdom.

The impact of interruption on the visual search task was evaluated using metrics commonly employed in visual search paradigms. These included search accuracy and response time, along with measures of oculomotor behavior, such as the duration and frequency of fixations. Additionally, specific metrics designed for experimental paradigms involving interruptions, like resumption lag (i.e., the time taken to resume the search task after the interruption), were utilized.

To categorize the reviewed studies, we employed a hierarchical scheme based on three key aspects (Figure 2). At the first level, studies were categorized based on the search environment, distinguishing between “artificial” environments, common in laboratory visual search studies (18/28 papers), and “natural” environments, representing those utilizing more ecologically valid search settings (10/28 papers). The second level addresses the interruption aftermath, specifically, whether the original search was resumed or ceased after the interruption. Most studies reviewed (22/28) implemented interruptions that disrupted the search task only momentarily, allowing participants to resume the search afterwards. The remaining six studies investigated scenarios where interruptions led to a complete cessation of the search, rendering it impossible for participants to resume their search post-interruption. Finally, the third level classifies studies based on whether the interrupting event necessitated participant action: task-required events (13), such the appearance and subsequent solving of an arithmetic task (Nachtnebel et al., 2023), non-task events (14), such as the brief disappearance of the search display (Thomas and Lleras, 2009), and hybrid events (1), which involve a combination of action-required and non-action-required events (Shen and Jiang, 2006).

Figure 3A illustrates the distribution of search tasks utilized in the reviewed studies. A majority of research in artificial environments (10/18) was conducted with the task of identifying a specific letter among distractors (Lleras et al., 2005, 2007; Beck et al., 2006; Van Zoest et al., 2007; Jungé et al., 2009; Lleras and Enns, 2009; Thomas and Lleras, 2009; Höfler et al., 2011; Godwin et al., 2013; Mereu et al., 2014). Furthermore, five of the studies asked participants to identify a target shape (Olds et al., 2000a,b,c, 2001; Olds and Punambolam, 2002) while one study each explored finding a picture (Alonso et al., 2021), categorizing numbers (Ratwani and Trafton, 2008) and tracking multiple objects (Labonté and Vachon, 2021). In contrast to the more homogenous distribution of search tasks in studies conducted in artificial environments, natural environment search tasks exhibited greater heterogeneity. They encompassed four medical image scanning tasks (Williams and Drew, 2017; Drew et al., 2018; Wynn et al., 2018; Radović et al., 2022), one change detection task in natural scenes (Shen and Jiang, 2006, all experiments except 5b), one search in the real world (Nachtnebel et al., 2023),one scanning an aerial map (Rice and Trafimow, 2012), and one X-ray screening task (Rieger et al., 2021).

Regarding the interruption aftermath, in most of the studies conducted in artificial environments (13/18), participants typically were allowed to continue their search after an interruption without needing to complete additional tasks (Olds et al., 2000a,b,c, 2001; Olds and Punambolam, 2002; Lleras et al., 2005, 2007; Van Zoest et al., 2007; Jungé et al., 2009; Lleras and Enns, 2009; Thomas and Lleras, 2009; Godwin et al., 2013; Mereu et al., 2014). However, in three studies, participants were required to perform another task following the interruption before they could resume their search (Ratwani and Trafton, 2008; Alonso et al., 2021; Labonté and Vachon, 2021). Additionally, in two instances where the interruption marked the end of the search, a further task followed the interruption (Beck et al., 2006; Höfler et al., 2011).

Most studies carried out in natural environments (6/10) allowed for search resumption, however this was always dependent on the completion of a task during the interruption (Williams and Drew, 2017; Drew et al., 2018; Wynn et al., 2018; Brazzolotto and Michael, 2020, 2021; Radović et al., 2022). In natural scenarios where the interruption ended the search, participants were required to complete a task in two studies (Rice and Trafimow, 2012; Nachtnebel et al., 2023) while in one study, they were not required to perform any task post-interruption (Rieger et al., 2021). Finally, the study by Shen and Jiang (2006) exhibited a hybrid pattern: in experiments 1–3, completing a task was not required to resume the search, while in experiments 4–6, it was necessary.

When we assessed whether the interruption event was considered a task or not, we observed that 14 studies did not involve a task as the interruption (Olds et al., 2000a, 2000b, 2000c, 2001; Olds and Punambolam, 2002; Lleras et al., 2005, 2007; Van Zoest et al., 2007; Jungé et al., 2009; Lleras and Enns, 2009; Thomas and Lleras, 2009; Godwin et al., 2013; Mereu et al., 2014; Rieger et al., 2021); and all but one of these studies (Rieger et al., 2021) were conducted in artificial environments. In contrast, in the 13 studies where the interruption was a task, five were conducted in artificial environments (Beck et al., 2006; Ratwani and Trafton, 2008; Höfler et al., 2011; Alonso et al., 2021; Labonté and Vachon, 2021) and eight in natural ones (Rice and Trafimow, 2012; Williams and Drew, 2017; Drew et al., 2018; Wynn et al., 2018; Brazzolotto and Michael, 2020, 2021; Radović et al., 2022; Nachtnebel et al., 2023). Within these 13 studies, two involved interrupting event tasks that were directly related to the interrupted search, requiring participants to use information obtained during the incomplete search to complete their tasks (Beck et al., 2006; Rice and Trafimow, 2012) whereas the tasks in the remaining nine studies were search-unrelated.

Overall, artificial environments exhibited a more limited variety of interrupting events compared to natural settings. The distribution of these events is depicted in Figure 3B. In artificial environments, seven types of events were observed, five of which were unique to these settings. Conversely, natural settings featured eight different types of events, with six exclusive to them. Tasks specific to artificial environments included the momentarily disappearance of the display (Lleras et al., 2005, 2007; Van Zoest et al., 2007; Jungé et al., 2009; Lleras and Enns, 2009; Thomas and Lleras, 2009; Godwin et al., 2013; Mereu et al., 2014), the addition of new distractors to the display (Olds et al., 2000a,b,c, 2001; Olds and Punambolam, 2002), a new search in the same display (Höfler et al., 2011), typing characters (Alonso et al., 2021), or a hybrid task requiring either and arithmetic or a spatial rotation task (Ratwani and Trafton, 2008). Tasks unique to natural environments included number discrimination (Radović et al., 2022), a prompt to respond to the interrupted search (Rice and Trafimow, 2012), a search for a letter (Wynn et al., 2018), the timeout and accompanying end of the search (Rieger et al., 2021), a hybrid task requiring either an over the phone diagnosis or the completion of a demographic survey (Drew et al., 2018) or an event that was either the momentary disappearance of the search display or passive viewing of a natural scene (Shen and Jiang, 2006). Finally, two interrupting events where common to both environments: arithmetic tasks (Williams and Drew, 2017; Brazzolotto and Michael, 2021; Labonté and Vachon, 2021; Nachtnebel et al., 2023) and a memory tasks (Beck et al., 2006; Brazzolotto and Michael, 2020).

In considering the effects of interruption on visual search tasks, we observed that most studies indicate a disruptive impact. However, there was extensive variation in the nature and extent of this disruption. To provide a thorough analysis, we focused on the distinct aspects of the search process influenced by these disruptions. The two most prominent findings are that interruptions impacted search accuracy and search times, as evidenced by reduced accuracy and extended response times in interrupted trials compared to uninterrupted ones (Williams and Drew, 2017; Alonso et al., 2021; Rieger et al., 2021). The timing of the interruption emerged as a key factor influencing the extent of search disruption. Notably, the first interruption led to longer response times and reduced accuracy (Drew et al., 2018) as compared to subsequent interruptions (Van Zoest et al., 2007). In this same vein, the early onset of interruptions resulted in longer response times (Olds et al., 2000c) compared to later onsets (Olds et al., 2000a, 2000b, 2001).

The impact of interruptions on search resumption was influenced by the nature of the interrupting event. Longer (Labonté and Vachon, 2021) and more difficult (Brazzolotto and Michael, 2020) interruptions significantly delayed the resumption time compared to shorter or simpler ones. Similarly, interruptions involving emotionally charged stimuli extended resumption time more than neutral interruptions (Brazzolotto and Michael, 2021). Additionally, spatial interruptions caused greater resumption lag than non-spatial ones (Ratwani and Trafton, 2008). Furthermore, the ability to quickly resume the search after an interruption, known as rapid resumption (Lleras et al., 2005), was adversely affected when interruptions involved changes to task-relevant distractors that shared features with the target (Jungé et al., 2009). However, changes to task-irrelevant distractors (Lleras et al., 2007) or the target’s location did not hinder rapid resumption (Mereu et al., 2014).

Memory, which is crucial in visual search (Hollingworth, 2006), appears to be disrupted by interruptions. When testing for recall performance, items observed shortly before an interruption were remembered best, with recall declining for items observed earlier (Beck et al., 2006). Memory for probes seemed to be robust to short interruptions but not too long ones (Thomas and Lleras, 2009). Interruptions involving moving to a new task seemed to disrupt spatial item arrangement in memory, consequently resulting in decreased search performance (Shen and Jiang, 2006). Further supporting this, participants needed more time to resume their search tasks after an interruption involving a spatial task interruption, compared to non-spatial task interruptions (Ratwani and Trafton, 2008).

Interruptions during the search task also impacted participants’ oculomotor behavior. These interruptions significantly influenced measures such as fixation duration (increased), fixation frequency (decreased) and diminished fixation-targeting accuracy (Godwin et al., 2013). Interestingly, when conducting two consecutive searches, inhibition of return, the phenomenon where individuals exhibit delayed reactions to a stimulus appearing at a location they have recently examined (Klein, 2000), was observed when the first search was interrupted, however, this inhibition was not present in scenarios where the first search was completed without interruption (Höfler et al., 2011).

Even though interruptions were generally detrimental to the ongoing visual search, some studies have provided conflicting or outright contradictory evidence, particularly in natural environments. For example, Nachtnebel et al. (2023) observed no significant difference in accuracy between interrupted and uninterrupted search conditions in a real-world setting. Additionally, some interruptions in the form of time pressure (i.e., the participant has a limited time to respond) have shown to improve response accuracy in computer-assisted searches (Rice and Trafimow, 2012) and to speed up responses without changes in accuracy (Radović et al., 2022). Furthermore, the impact of interruptions on search accuracy may vary depending on the task difficulty. For instance, Wynn et al. (2018) found that difficult searches (i.e., targets with inconspicuous features) were negatively affected by interruptions involving a new task, while easier searches (i.e., targets that are less difficult to spot) generally showed improved accuracy. In artificial environments, interruptions providing spatial information about the target’s location have been shown to decrease response times (Olds et al., 2000a; Olds and Punambolam, 2002; Lleras and Enns, 2009).

The aim of this review was to provide a comprehensive synopsis of existing research on interruptions in visual search. It underscored the importance of identifying and bridging knowledge gaps within this field, aiming to create a more unified and thorough understanding of the phenomenon. The primary observation is the lack of uniformity in defining and executing interruptions, evident in the methodological diversity of studies. While methodological pluralism diversifies the field with a wide array of insights and perspectives, it complicates the development of a unified understanding of interruption effects in visual search, thereby hindering their integration into existing cognitive models.

Our review encompassed a range of studies from different disciplines. While not every study included was primarily focused on the effect of interruption in visual search, each integrated the aspect of interruption into its methodology, which became the central focus of our analysis. We adopted this approach with the intention of capturing the diverse ways in which interruptions manifest in visual search tasks. In doing so, we found that the diversity and complexity of these studies presents a substantial challenge for conducting a structured analysis. As a starting point, we therefore defined interruption as an event that disrupts the search task without necessarily terminating it or initiating a new search. Following this definition, we constructed a categorization scheme focused on three critical dimensions: the search environment, the aftermath of the interruption, and if the interrupting event prompted a task.

In our review, we observed that studies conducted in artificial environments often employed well-established search tasks prevalent in the visual search field, such as finding a letter among distractors or identifying a target shape. The use of methodologically rigorous and tested paradigms facilitates experimental control and enables comparisons across different studies. However, this approach may compromise ecological validity, and poses a challenge in the translation of findings to practical applications (Diaz et al., 2003). In contrast, research conducted in natural environments tends to reflect real-world search scenarios more accurately. However, these naturalistic studies often employ diverse methodological approaches, even within the same subdiscipline (Ratwani et al., 2016), leading to results that are challenging to compare across studies. Consequently, the findings are less straightforward, necessitating careful contextualization and cautious interpretation.

Regardless of the search environment, in the majority of reviewed studies participants were allowed to resume search after the interruption, which is in line with the classical definition of interruption, which conceptualizes them as the temporary cessation of a primary task (Boehm-Davis and Remington, 2009). In real-life, we usually have the opportunity to return to our initial tasks after being interrupted. As such, this implementation of interruptions reflects real-world occurrences, where the process involves a pause followed by a continuation. For instance, imagine searching for a book in a library and being interrupted by a phone call; after the call, you would typically resume your search for the book. For the studies in which the interruption marked the end of the search, the interrupting event was always triggered by the expiration of allotted time (Rice and Trafimow, 2012; Rieger et al., 2021; Nachtnebel et al., 2023) or after a predetermined number of saccades (Beck et al., 2006; Höfler et al., 2011). This mirrors real-life scenarios where searches are often time-constrained, such as when we are shopping in a supermarket before it closes. Interestingly, none of the studies incorporated endogenous (i.e., participant-initiated) interruptions, which are common in daily life. For example, if we are searching for a rain jacket before an appointment and cannot find it quickly enough, we might switch our search to looking for an umbrella instead. This type of internally driven interruptions represents an area for further research.

Concerning interrupting events, clear differences were observed between artificial and natural settings. In artificial environments, interrupting events were typically predictable and consistently timed, with the aim to test clearly defined effects such as rapid resumption (Lleras et al., 2005). These interruptions often did not involve additional tasks; they were merely brief disappearances of the search display, followed by the reappearance of the same or a slightly altered display. Conversely, in natural environments, most interruptions occurred unpredictably and involved an additional task. Furthermore, the tasks prompted by these interruptions were organically connected to the preceding interrupted search, meaning they could realistically occur in such contexts—for example, a physician receiving a phone call from a patient while scanning a medical image (Drew et al., 2018). These interruptions in natural settings were designed to explore how interruptions could operate in real-world scenarios, providing valuable insights into their practical impacts.

As previously mentioned, research on the effects of interruptions has consistently emphasized their predominantly adverse consequences. Indeed, interruptions were accompanied by negative effects on the search process in all the studies included in our review, predominantly manifesting as reduced accuracy and extended response times. Interestingly, we also found that search planning was affected by search interruption. For instance, Godwin et al. (2013) observed that participants briefly continued their fixation plan during the interruption period, as evidenced by their saccades and fixations often revisiting locations observed prior to the interruption. Moreover, Höfler et al. (2011) reported that inhibition of return, i.e., a phenomenon where attention is less likely to return to a previously attended location (Klein, 2000), persists across two consecutive searches when the initial search was interrupted but it extinguishes when the initial search was completed. Nevertheless, under specific conditions, interruptions might carry a beneficial impact on visual search. For instance, Ratwani et al. (2006) demonstrated that interrupting a simple search resulted in shorter fixation durations and fewer task-critical errors compared to uninterrupted searches. Similarly, Rice and Trafimow (2012) observed that participants achieved greater accuracy in their responses when they were under time pressure compared to a control condition without such constraints. Thus, studying interruptions in visual search not only helps understand their immediate effects but also provides insights into broader aspects of search dynamics, potentially guiding the development of methods to either mitigate or capitalize on these effects.

While there are clear indications of potential benefits, the underlying mechanisms and specific contexts from which interruptions are beneficial also require further investigation. We suggest that future work in investigating interruptions in visual search tasks could draw from the methodologies and theories from studies identifying advantageous effects of interruptions in other domains (Walji et al., 2004). For instance, potential benefits in visual search tasks could be explored by implementing strategic interruptions, such as signaling alerts. These alerts could enhance efficiency and effectiveness in security-critical tasks such as baggage screening, where quick identification and processing are essential (Boskemper et al., 2022). Furthermore, interruptions could prove beneficial in human-assisting monitoring and management systems, such as those used in traffic control. For example, timely pop-ups could prompt operators to make necessary adjustments based on real-time data (Dahal et al., 2013). By taking this approach, a more nuanced range of hypotheses regarding the role of interruptions could be examined, moving beyond the commonly held view that they are primarily disruptive, toward a more comprehensive understanding that acknowledges their potential utility as well.

Our review identified a notable gap in the literature concerning the influence of individual differences on the effects of interruptions during search tasks. One study found that individuals with greater working memory capacity experienced less negative impact from interruptions on search accuracy, regardless of the duration of the interruption (Labonté and Vachon, 2021). This suggests that individual cognitive capacities might play a role in mitigating the adverse effects of interruptions. Moreover, while existing research suggests that individual expertise is associated with enhanced performance in visual search tasks (Robson et al., 2021; Wang et al., 2021), the question of whether expertise also contributes to more effective management of interruptions in visual search remains debated. For instance, when comparing the performance of experienced and novice radiologists in interpreting chest scans, Wynn et al. (2018) found no significant differences between the groups when their search was interrupted; both were equally affected, exhibiting extended scanning times and diminished response accuracy compared to the uninterrupted condition. These findings highlight the need for further research to clarify the potential moderating effects of experience and training on interruption management.

One limitation of our review is the deliberate focus on studies involving young and healthy adult populations. During our review process, we found and excluded one study that included children and one study with elderly participants. The first study, by Lleras et al. (2011), found that the ability to quickly resume searching after a brief interruption (i.e., rapid resumption) does not vary with age among children and adolescents aged 7 to 19 years. In the second study, Farrimond et al. (2006) observed that older adults, unlike younger adults, experienced a significant decline in cue detection following interruptions during a scene navigation task. They suggested that this decline could be related to a diminished capacity for self-initiated reinstatement of working memory in older age. Future research could benefit from incorporating a broader range of demographic and clinical populations to better understand how interruptions impact cognitive processes in these groups.

Our review underscores the complex nature of interruptions in visual search as we strive to establish an operational definition that captures the diversity noted in the literature. We consider that this definition was crucial for accurately categorizing the studies and developing a preliminary scheme intended as a starting point to deepen understanding of the phenomenon and facilitate comparisons across different research disciplines. Despite our efforts to define clear criteria, we are aware that our categorization scheme may be subject to critique and could require refinement or expansion in future research. For instance, parallels can be drawn between the paradigms discussed in this review and those of dual-tasks (Liesefeld et al., 2024) and task-switching (Kiesel et al., 2010). On the one hand, when search resumption is conditioned to the completion of an interruption that entails another task, this interruption can be regarded as a secondary task. On the other hand, while task-switching usually does not reflect visual search situations, it requires a quick alternation between different tasks and adaptation to the currently relevant task set. However, due to significant differences in execution and cognitive demands, studies employing these paradigms were deemed beyond the scope of our review.

In conclusion, we aimed to provide a nuanced perspective that emphasized the need for dedicated research and standardized methodologies, which are crucial for facilitating valid comparisons across studies and integrating the effects of interruptions into current visual search models. We also advocate for a reevaluation of the traditional view that interruptions are predominantly negative and encourage exploration of their potential benefits. This shift in perspective could significantly impact not only academic research but also offer broader real-world applications of these insights.

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

AC-D: Conceptualization, Investigation, Methodology, Visualization, Writing – original draft, Writing – review & editing. SN: Investigation, Writing – review & editing, Methodology. CK: Writing – review & editing. IG: Writing – review & editing. MH: Conceptualization, Investigation, Resources, Supervision, Writing – review & editing, Funding acquisition.