Relating distractor suppression to problematic drinking behavior.

BACKGROUND: Impaired cognitive control has been linked to weakened self-regulatory processes underlying compulsive substance intake. Previous research has provided evidence for impaired task performance in substance-abusing groups during Stroop and Go/No-Go tasks. Mechanisms of distractor suppression in visual search might also involve overlapping regulatory components that support goal-directed behavior by resolving the attentional competition between distractors and the target of search. However, the efficiency of learning-dependent distractor suppression has not been examined in the context of drug abuse and a direct comparison between cognitive control and distractor suppression is lacking. METHOD: A total of 84 participants were assigned either to the heavy drinking group (ALC, n = 42) or the control group (CTL, n = 42) based on self-reported substance use. Participants completed the Alcohol Use Disorders Identification Test (AUDIT) and Barratt Impulsiveness Scale (BIS). After that, participants completed a computerized version of the Stroop task, Go/No-go task, and a visual search task measuring learning-dependent distractor suppression. RESULTS: The Stroop effect and the frequency of no-go errors did not differ between groups. However, learned distractor suppression was significantly blunted in the ALC group compared to the control group. Across participants, performance on the Stroop and Go/No-go task were correlated, while the magnitude of distractor suppression was related to neither. CONCLUSIONS: Our findings support a divergence of mechanistic processes underlying cognitive control and attentional control, and demonstrate impaired learning-dependent distractor suppression in heavy drinkers relative to a control group. Impaired distractor suppression offers new insight into why drug cues can be difficult to ignore.

Protocol to evaluate the effectiveness of a virtual-reality-based behavioral intervention in enhancing sensory responses to real-world warning.

Habituation to signals that warn of a potential danger in high-risk work environments is a critical causal factor of workplace accidents. Such habituation is hard to measure in a real-world setting, and no existing intervention can effectively curb it. Here, we present a protocol to enhance workers' sensory responses to frequently encountered warnings at workplaces using a virtual-reality-based behavioral intervention. We describe steps for performing a virtual reality experiment and an electroencephalography (EEG) experiment with human participants. For complete details on the use and execution of this protocol, please refer to Kim et al.1.

Statistically learned associations among objects bias attention.

A growing body of research suggests that semantic relationships among objects can influence the control of attention. There is also some evidence that learned associations among objects can bias attention. However, it is unclear whether these findings are due to statistical learning or existing semantic relationships. In the present study, we examined whether statistically learned associations among objects can bias attention in the absence of existing semantic relationships. Participants searched for one of four targets among pairs of novel shapes and identified whether the target was present or absent from the display. In an initial training phase, each target was paired with an associated distractor in a fixed spatial configuration. In a subsequent test phase, each target could be paired with the previously associated distractor or a different distractor. In our first experiment, the previously associated distractor was always presented in the same pair as the target. Participants were faster to respond when this distractor was present on target-present trials. In our second experiment, the previously associated distractor was presented in a different pair than the target in the test phase. In this case, participants were slower to respond when this distractor was present on both target-present and target-absent trials. Together, these findings provide clear evidence that statistically learned associations among objects can bias attention, analogous to the effects of semantic relationships on attention.

An examination of the motivation to manage distraction.

Individuals exhibit limited awareness of when their attention is captured by salient but irrelevant stimuli, and it has long been argued that involuntary attentional capture by such stimuli is minimally disruptive to information processing. Yet, robust mechanisms of distractor suppression are hypothesized to support the control of attention, which presumably serve in the interest of managing distraction. In the present study, I examine whether participants are aware of the cost of distraction with respect to task performance, and whether they are motivated to manage this cost even when it is effortful to do so. Across three experiments, participants were willing to exert physical effort in order to reduce the frequency with which they encountered physically salient distractors, and in a fourth experiment tended to prefer trials with fewer distractors when given a choice over distractor frequency. Importantly, the amount of physical effort exerted varied as a function of the degree to which task-irrelevant distractors impaired search performance, suggesting that people are sensitive to the cost of distraction.

Filtering distractors is costly.

To find a target in visual search, it is often necessary to filter out task-irrelevant distractors. People find the process of distractor filtering effortful, exerting physical effort to reduce the number of distractors that need to be filtered on a given search trial. Working memory demands are sufficiently costly that people are sometimes willing to accept aversive heat stimulation in exchange for the ability to avoid performing a working memory task. The present study examines whether filtering distractors in visual search is similarly costly. The findings reveal that individuals are sometimes willing to accept an electric shock in exchange for the ability to skip a single trial of visual search, increasingly so as the demands of distractor filtering increase. This was true even when acceptance of shock resulted in no overall time savings, although acceptance of shock was overall infrequent and influenced by a plurality of factors, including boredom and curiosity. These findings have implications for our understanding of the mental burden of distractor filtering and why people seek to avoid cognitive effort more broadly.

Reliably Measuring Learning-Dependent Distractor Suppression with Eye Tracking.

In the field of psychological science, behavioral performance in computer-based cognitive tasks often exhibits poor reliability. The absence of reliable measures of cognitive processes contributes to non-reproducibility in the field and impedes investigation of individual differences. Specifically in visual search paradigms, response time-based measures have shown poor test-retest reliability and internal consistency across attention capture and distractor suppression, but one study has demonstrated the potential for oculomotor measures to exhibit superior reliability. Therefore, in this study, we investigated three datasets to compare the reliability of learning-dependent distractor suppression measured via distractor fixations (oculomotor capture) and latency to fixate the target (fixation times). Our findings reveal superior split-half reliability of oculomotor capture compared to that of fixation times regardless of the critical distractor comparison, with the reliability of oculomotor capture in most cases falling within the range that is acceptable for the investigation of individual differences. We additionally find that older adults have superior oculomotor reliability compared with young adults, potentially addressing a significant limitation in the aging literature of high variability in response time measures due to slower responses. Our findings highlight the utility of measuring eye movements in the pursuit of reliable indicators of distractor processing and the need to further test and develop additional measures in other sensory domains to maximize statistical power, reliability, and reproducibility.

Observational learning of threat-related attentional bias.

Attentional bias to threat has been almost exclusively examined after participants experienced repeated pairings between a conditioned stimulus (CS) and an aversive unconditioned stimulus (US). This study aimed to determine whether threat-related attentional capture can result from observational learning, when participants acquire knowledge of the aversive qualities of a stimulus without themselves experiencing aversive outcomes. Non-clinical young-adult participants (N = 38) first watched a video of an individual (the demonstrator) performing a Pavlovian conditioning task in which one colour was paired with shock (CS+) and another colour was neutral (CS-). They then carried out visual search for a shape-defined target. Oculomotor measures evidenced an attentional bias toward the CS+ colour, suggesting that threat-related attentional capture can ensue from observational learning. Exploratory analyses also revealed that this effect was positively correlated with empathy for the demonstrator. Our findings extend empirical and theoretical knowledge about threat-driven attention and provide valuable insights to better understand the formation of anxiety disorders.

Trichotomy revisited: A monolithic theory of attentional control.

The control of attention was long held to reflect the influence of two competing mechanisms of assigning priority, one goal-directed and the other stimulus-driven. Learning-dependent influences on the control of attention that could not be attributed to either of those two established mechanisms of control gave rise to the concept of selection history and a corresponding third mechanism of attentional control. The trichotomy framework that ensued has come to dominate theories of attentional control over the past decade, replacing the historical dichotomy. In this theoretical review, I readily affirm that distinctions between the influence of goals, salience, and selection history are substantive and meaningful, and that abandoning the dichotomy between goal-directed and stimulus-driven mechanisms of control was appropriate. I do, however, question whether a theoretical trichotomy is the right answer to the problem posed by selection history. If we reframe the influence of goals and selection history as different flavors of memory-dependent modulations of attentional priority and if we characterize the influence of salience as a consequence of insufficient competition from such memory-dependent sources of priority, it is possible to account for a wide range of attention-related phenomena with only one mechanism of control. The monolithic framework for the control of attention that I propose offers several concrete advantages over a trichotomy framework, which I explore here.

Terms of debate: Consensus definitions to guide the scientific discourse on visual distraction.

Hypothesis-driven research rests on clearly articulated scientific theories. The building blocks for communicating these theories are scientific terms. Obviously, communication - and thus, scientific progress - is hampered if the meaning of these terms varies idiosyncratically across (sub)fields and even across individual researchers within the same subfield. We have formed an international group of experts representing various theoretical stances with the goal to homogenize the use of the terms that are most relevant to fundamental research on visual distraction in visual search. Our discussions revealed striking heterogeneity and we had to invest much time and effort to increase our mutual understanding of each other's use of central terms, which turned out to be strongly related to our respective theoretical positions. We present the outcomes of these discussions in a glossary and provide some context in several essays. Specifically, we explicate how central terms are used in the distraction literature and consensually sharpen their definitions in order to enable communication across theoretical standpoints. Where applicable, we also explain how the respective constructs can be measured. We believe that this novel type of adversarial collaboration can serve as a model for other fields of psychological research that strive to build a solid groundwork for theorizing and communicating by establishing a common language. For the field of visual distraction, the present paper should facilitate communication across theoretical standpoints and may serve as an introduction and reference text for newcomers.

Instructional learning of threat-related attentional capture is modulated by state anxiety.

The present study aimed to determine whether persistent threat-related attentional capture can result from instructional learning, when participants acquire knowledge of the aversive qualities of a stimulus through verbal instruction. Fifty-four nonclinical adults first performed a visual search task in which a green or red circle was presented as a target. They were instructed that one of these two colors might be paired with an electric shock if they responded slowly or inaccurately, whereas the other color was never associated with shock. However, no shocks were actually delivered. In a subsequent test phase, in which participants were explicitly informed that shocks were no longer possible, former-target-color stimuli were presented as distractors in a visual search task for a shape-defined target. In both tasks, although participants were never exposed to the electric shock, we observed a significant correlation between threat-related attentional priority and state anxiety. Our results demonstrate that exposure to a stimulus with the belief that it could be threatening is sufficient to generate a persistent attentional bias toward that stimulus, but this effect is modulated by state anxiety. Attentional biases for fear-relevant stimuli have been implicated in anxiety disorders, and our findings demonstrate that for anxious participants, attentional biases can be entirely the product of erroneous beliefs concerning the linking between stimuli and possible outcomes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

When detecting a salient target makes search more effortful.

Prior research has demonstrated two distinct modes of searching a display: singleton detection mode and feature search mode. Due to the explicit template-based attentional control involved in feature search mode, singleton detection mode is often assumed to be less mentally effortful, which can potentially explain why people search using such an inefficient and distraction-prone strategy. However, this assumption remains largely untested. In the present study, we used a hand dynamometer to relate physical effort to perceived mental effort across different search conditions. Surprisingly, across three experiments, participants exerted more effort to avoid singleton detection trials compared to feature search trials, suggesting that they found singleton detection to be the more effortful mode of searching. In a fourth experiment, we removed the physical effort component and simply asked participants to self-report how effortful they perceived each search task to be. Participants robustly indicated that singleton detection trials were more effortful. Lastly, in a fifth experiment, we removed distractor-present trials. Again, participants exerted more effort to avoid singleton detection trials. In contrast to widely held assumptions, our findings suggest that searching for a salient singleton is in fact more mentally effortful than searching for a specific feature in a heterogeneous display, which has broad implications for theories of attentional control and the influence of mental effort on cognition. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Attribute amnesia as a product of experience-dependent encoding.

Attribute amnesia, a phenomenon in which participants fail to report a just-attended attribute in a surprise test, reflects the importance of expectation in determining memory for attended information. To investigate how expectations arise in the context of attribute amnesia, the present study examined whether and how different response histories, independently of task instruction, can shape expectation, thereby driving or eliminating attribute amnesia. Participants were assigned to three groups and completed variations of the attribute amnesia task, where they were initially instructed to encode both target location and identity. Two groups of participants were probed four times on target identity before a critical identity probe, in one case intermittently while in the other case repeatedly during the first few trials. Another group of participants was never probed on identity until the critical trial, which occurred on the 370th trial (after many location probes). The results showed that, in spite of common task instruction, performance on the critical trial depended strongly on response history, with initial identity probes providing some protection against attribute amnesia and intermittent probes completely eliminating it. The findings suggest that the encoding of information into working memory is determined by task experience, independently of task instruction.

Statistical learning facilitates the strategic use of attentional control.

A growing body of research suggests that observers rely on a variety of suboptimal strategies when searching for objects. However, real-world environments contain a variety of statistical regularities that enable more efficient processing of information. In the present study, we examined whether statistical learning can influence the strategic use of attentional control using a modified version of the adaptive choice visual search task. Participants searched through an array of colored squares and identified a digit located within a red or blue target square. Each trial contained both a red and a blue target, and participants were free to choose which color to search for. On each trial, more squares were presented in one color than the other color. Thus, the optimal strategy was to search for the color with the fewest squares. Critically, one color was the optimal color on 75% of trials, while the other color was the optimal color on the remaining 25% of trials. Participants were faster to identify targets and made a larger proportion of optimal choices when the high-probability optimal color was optimal. Thus, statistical learning facilitated both search for the targets and the optimal choice of attentional control settings. These effects persisted when the color contingencies were equated, suggesting that these findings were not simply due to intertrial priming. Moreover, participants were not slower to identify targets when the high-probability optimal color appeared as a distractor, suggesting that these findings were not due to attentional capture by this color. Together, these findings suggest that statistical learning can facilitate the strategic use of attentional control by biasing which features observers choose to search for.

Reward history modulates visual attention in an avian model.

Attention can be biased towards previously reward-associated stimuli even when they are task-irrelevant and physically non-salient, although studies of reward-modulated attention have been largely limited to primate (including human and nonhuman) models. Birds have been shown to have the capacity to discriminate reward and spatial cues in a manner similar to primates, but whether reward history involuntarily affects their attention in the same way remains unclear. We adapted a spatial cueing paradigm with differential rewards to investigate how reward modulates the allocation of attention in peafowl (Pavo cristatus). The birds were required to locate and peck a target on a computer screen that was preceded by a high-value or low-value color cue that was uninformative with respect to the location of the upcoming target. All birds exhibited a validity effect (performance enhanced on valid compared to invalid cue), and an interaction effect between value and validity was evident at the group level, being particularly pronounced in the birds with the greatest amount of reward training. The time course of reward learning was conspicuously incremental, phenomenologically slower compared to primates. Our findings suggest a similar influence of reward history on attention across phylogeny despite a significant difference in neuroanatomy.

A comparison of mental imagery and perceptual cueing across domains of attention.

Mental imagery and perceptual cues can influence subsequent visual search performance, but examination of this influence has been limited to low-level features like colors and shapes. The present study investigated how the two types of cues influence low-level visual search, visual search with realistic objects, and executive attention. On each trial, participants were either presented with a colored square or tasked with using mental imagery to generate a colored square that could match the target (valid trial) or distractor (invalid trial) in the search array that followed (Experiments 1 and 3). In a separate experiment, the colored square displayed or generated was replaced with a realistic object in a specific category that could appear as a target or distractor in the search array (Experiment 2). Although the displayed object was in the same category as an item in the search display, they were never a perfect match (e.g., jam drop cookie instead of chocolate chip). Our findings revealed that the facilitation of performance on valid trials compared with invalid trials was greater for perceptual cues than imagery cues for low-level features (Experiment 1), whereas the influence of these two types of cues was comparable in the context of realistic objects (Experiment 2) The influence of mental imagery appears not to extend to the resolution of conflict generated by color-word Stroop stimuli (Experiment 3). The present findings extend our understanding of how mental imagery influences the allocation of attention.

Neural correlates of value-driven spatial orienting.

Reward learning has been shown to habitually guide overt spatial attention to specific regions of a scene. However, the neural mechanisms that support this bias are unknown. In the present study, participants learned to orient themselves to a particular quadrant of a scene (a high-value quadrant) to maximize monetary gains. This learning was scene-specific, with the high-value quadrant varying across different scenes. During a subsequent test phase, participants were faster at identifying a target if it appeared in the high-value quadrant (valid), and initial saccades were more likely to be made to the high-value quadrant. fMRI analyses during the test phase revealed learning-dependent priority signals in the caudate tail, superior colliculus, frontal eye field, anterior cingulate cortex, and insula, paralleling findings concerning feature-based, value-driven attention. In addition, ventral regions typically associated with scene selection and spatial information processing, including the hippocampus, parahippocampal gyrus, and temporo-occipital cortex, were also implicated. Taken together, our findings offer new insights into the neural architecture subserving value-driven attention, both extending our understanding of nodes in the attention network previously implicated in feature-based, value-driven attention and identifying a ventral network of brain regions implicated in reward's influence on scene-dependent spatial orienting.

Selection history contributes to suboptimal attention strategies.

Attentional control balances the competing drives of performance maximization and effort minimization. One way the attention system minimizes effort is through a bias to persist in the use of attentional control strategies that have been useful in the past. In the present study, we asked whether such selection history can result in the persistence of an attentional control strategy that is counterproductive, effectively competing with a more optimal strategy. Participants first completed a training in which one color target was encountered more frequently than another, and then completed a test phase in which they could search for one of two targets on any given trial, one of which would be more optimal to search for given the distribution of color stimuli. An attentional bias for the more frequent target color was observed in the training phase and the choice of which target to report was robustly optimal in the test phase, reflecting performance maximization. Importantly, participants also exhibited a tendency to report the target rendered in the previously more frequent target color in the test phase, even when the distribution of non-target colors made it suboptimal to do so. Our findings shed light on the fundamental question of why attentional control is sometimes suboptimal, demonstrating a role for selection history in the perseveration of previously employed attentional strategies even when such strategies produce suboptimal performance.

Encoding history enhances working memory encoding: Evidence from attribute amnesia.

Accumulating evidence demonstrates that selection history influences the allocation of attention. However, it is unclear how working memory (WM), which is tightly connected to attention, is influenced by selection history. The aim of present study was to investigate the influence of encoding history on WM encoding. By incorporating task switching into an attribute amnesia task, participants' encoding history for stimulus attributes was manipulated and its corresponding influence on WM performance was tested. The results revealed that encoding an attribute in one situation can enhance the working memory encoding process for this same attribute in a different situation. Subsequent experiments revealed that this facilitation in WM encoding cannot be explained by increased attentional demand to the probed feature caused by the need to task switch. In addition, verbal instruction does not have a crucial influence on memory performance, which is mainly driven by prior experience in the task. Collectively, our findings lend unique insights into how selection history influences the encoding of information into WM. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

On the Relationship between Value- and Threat-Driven Attentional Capture and Approach-Avoidance Biases.

Reward learning and aversive conditioning have consequences for attentional selection, such that stimuli that come to signal reward and threat bias attention regardless of their valence. Appetitive and aversive stimuli have distinctive influences on response selection, such that they activate an approach and an avoidance response, respectively. However, whether the involuntary influence of reward- and threat-history-laden stimuli extends to the manner in which a response is directed remains unclear. Using a feedback-joystick task and a manikin task, which are common paradigms for examining valence-action bias, we demonstrate that reward- and threat-signalling stimuli do not modulate response selection. Stimuli that came to signal reward and threat via training biased attention and invigorated action in general, but they did not facilitate an approach and avoidance response, respectively. We conclude that attention can be biased towards a stimulus as a function of its prior association with reward or aversive outcomes without necessarily influencing approach vs. avoidance tendencies, such that the mechanisms underlying the involuntary control of attention and behaviour evoked by valent stimuli can be decoupled.

Reward history modulates attention based on feature relationship.

Prioritizing attention to reward-predictive items is critical for survival, but challenging because these items rarely appear in the same feature or within the same environment. However, whether attention selection can be adaptively tuned to items that matched the context-dependent, relative feature of previously rewarded items remains largely unknown. In four experiments (N = 40 per experiment), we trained participants to learn the color-reward association and then adopted visual search tasks in which the color of a singleton distractor matched either the feature value (e.g., red or yellow) or feature relationship (i.e., redder or yellower) of previously rewarded colors. We consistently found enhanced attentional capture by a singleton distractor when it was relationally matched to the high reward compared with the low reward relationship, in addition to observing the typical effect of learned value on singletons matching the previously rewarded colors. Our findings provide novel evidence for the flexibility of value-driven attention via feature relationship, which is particularly useful given the changeable sensory inputs in real-world searches. (PsycInfo Database Record (c) 2023 APA, all rights reserved).