Bias For Cues Research Articles

Influencing Factors to Overeating in Restrained Eaters: An Analysis Based on Specific Occupation

Driven by the mainstream aesthetic in society, many people have begun to restrict their diet in pursuit of a better shape. Especially for specific occupations, such as dancers and figure skaters, the requirement of their careers has led to long-term restrained eating to keep a low BMI. However, a large proportion of people fail to restrict their diet or even develop eating disorders such as overeating at the end.Given the necessary restrained eating needs of specific occupation, the reasons why they may still break the dietary boundaries deserve to be investigated.Based on the definitions of restricted eating and overeating, this study summarizes previous research on overeating in restrained eaters, including psychological factors, attentional bias for food cues, lack of inhibitory control, and self-regulatory resource depletion. Then this study consider the particularity of specific occupations, including the influence of peer evaluation and repeated body surveillance, trying to conduct detailed analysis and reasonable inferences on specific influencing factors.Finally, based on the discussion, the study provides possible suggestions for the intervention of overeating and also directions for future empirical research.

Clarifying Cognitive Control Deficits in Psychosis via Drift Diffusion Modeling and Attractor Dynamics.

Cognitive control deficits are prominent in individuals with psychotic psychopathology. Studies providing evidence for deficits in proactive control generally examine average performance and not variation across trials for individuals-potentially obscuring detection of essential contributors to cognitive control. Here, we leverage intertrial variability through drift-diffusion models (DDMs) aiming to identify key contributors to cognitive control deficits in psychosis. People with psychosis (PwP; N = 122), their first-degree biological relatives (N = 78), and controls (N = 50) each completed 120 trials of the dot pattern expectancy (DPX) cognitive control task. We fit full hierarchical DDMs to response and reaction time (RT) data for individual trials and then used classification models to compare the DDM parameters with conventional measures of proactive and reactive control. PwP demonstrated slower drift rates on proactive control trials suggesting less efficient use of cue information. Both PwP and relatives showed protracted nondecision times to infrequent trial sequences suggesting slowed perceptual processing. Classification analyses indicated that DDM parameters differentiated between the groups better than conventional measures and identified drift rates during proactive control, nondecision time during reactive control, and cue bias as most important. DDM parameters were associated with real-world functioning and schizotypal traits. Modeling of trial-level data revealed that slow evidence accumulation and longer preparatory periods are the strongest contributors to cognitive control deficits in psychotic psychopathology. This pattern of atypical responding during the DPX is consistent with shallow basins in attractor dynamic models that reflect difficulties in maintaining state representations, possibly mediated by excess neural excitation or poor connectivity.

Comparing cigarette-cue attentional bias between people with HIV/AIDS and people with opioid use disorder who smoke

ABSTRACT Background: Special populations like people living with HIV/AIDS (PLWHA) and people with opioid use disorder (OUD) smoke tobacco cigarettes at rates three to four times greater than the general population. Patients with tobacco use disorder exhibit attentional bias (AB) for cigarette cues. Eye tracking can quantify this bias by measuring fixation time (FT) on cigarette and matched neutral cues, to calculate an AB score. Although previous studies have measured this bias in people who smoke without any other comorbid conditions, no study, to our knowledge, has measured or compared this bias in special populations. Methods: We performed exploratory analyses on eye tracking data collected in two separate randomized clinical trials (RCTs) (NCT05049460, NCT05295953). We compared FT and cigarette-cue AB score (measured by subtracting FT on neutral cues from FT on cigarette cues) between PLWHA and people with OUD who smoke, using a visual probe task and Tobii Pro Fusion eye tracker. We used two cigarette cue types, one encompassing people smoking cigarettes and the other consisting of cigarette paraphernalia. We used two cue presentation times, 1000 and 2000 milliseconds (ms). Results: Cues of people smoking cigarettes elicited greater AB than cues of cigarette paraphernalia across both subject groups when cues were presented for 2000 ms, but not 1000 ms. PLWHA who smoke exhibited greater AB for cues of people smoking cigarettes than cigarette paraphernalia when presented for 2000 ms compared to people with OUD who smoke. Conclusion: We use cigarette-cue AB to quantify craving and cigarette consumption in two populations smoking at elevated rates. The addition of social cues potentiates cigarette cue AB, based on cue type and stimulus presentation time. Understanding the neurobiology of this relationship can help design novel smoking cessation treatments that target AB and prevent relapse in these populations with suboptimal response to smoking cessation treatments. Trial registration: Clinical trials that provided the data for post hoc analyses are NCT05049460 and NCT05295953.

The Impact of Sleep Deprivation on Brain Networks in Response to Social Evaluation Tasks.

Sleep loss may lead to negative bias during social interaction. In the current study, we conducted a revised social evaluation task experiment to investigate how sleep deprivation influences the self-referential and cognitive processes of social feedback. The experiment consisted of a first impression task and a social feedback task. Seventy-eight participants completed the first impression task and were divided into normal and poor sleep groups. The results of an independent samples t-test showed that participants who slept worse were less likely to socialize with others but did not evaluate others as less attractive. Afterward, 22 of the participants from the first impression task were recruited to complete the social feedback task during functional magnetic resonance imaging (fMRI) on the mornings following two different sleep conditions at night: one night of normal sleep and one night of sleep deprivation. The results of this within-subject design study showed that participants who experienced the latter condition showed increased activation within the default mode network (i.e. superior parietal lobule, precuneus, inferior parietal lobule, inferior temporal gyrus, and medial frontal gyrus) and anterior cingulate cortex (ACC) and stronger negative insula functional connectivity (FC) with the precuneus to negative feedback than positive feedback. The altered activation and behavioral pattern may indicate a negative bias for social cues. However, stronger negative coupling may indicate stronger cognitive control, which may protect against potential damage to self-concept. Our study suggested that sleep impairs most social functions, but may protect against impairment of important ones, such as self-concept.

Attentional bias for high-calorie food cues by the level of hunger and satiety in individuals with binge eating behaviors.

The abnormal hyperreactivity to food cues in individuals with binge eating behaviors could be regulated by hedonic or reward-based system, overriding the homeostatic system. The aim of the present study was to investigate whether attentional bias for food cues is affected by the level of hunger, maintaining the normal homeostatic system in individuals with binge eating behaviors. A total of 116 female participants were recruited and divided into four groups: hungry-binge eating group (BE) (n = 29), satiated BE (n = 29), hungry-control (n = 29), satiated control (n = 29). While participants completed a free-viewing task on high or low-calorie food cues, visual attentional processes were recorded using an eye tracker. The results revealed that BE group showed longer initial fixation duration toward high-calorie food cues in both hunger and satiety condition in the early stage, whereas the control group showed longer initial fixation duration toward high-calorie food cues only in hunger conditions. Moreover, in the late stage, the BE group stared more at the high-calorie food cue, compared to control group regardless of hunger and satiety. The findings suggest that automatic attentional bias for food cues in individuals with binge eating behaviors occurred without purpose or awareness is not affected by the homeostatic system, while strategic attention is focused on high-calorie food. Therefore, the attentional processing of food cues in binge eating group is regulated by hedonic system rather than homeostatic system, leading to vulnerability to binge eating.

Approach avoidance training versus Sham in veterans with alcohol use disorder: protocol for a randomized controlled trial

BackgroundAlcohol use disorder (AUD) is highly prevalent and commonly co-occurs with other psychiatric disorders among Veterans. Provisional evidence supports the use of Approach Avoidance Training (AAT) - a form of computer-delivered cognitive bias modification designed to target implicit approach bias for alcohol-related cues - as an adjunctive program to treat AUD. However, the extent to which AAT is effective for improving AUD recovery outcomes in outpatient Veteran samples and those with psychiatric comorbidities has been understudied to date. Here we describe a double-blind randomized controlled trial of AAT versus a comparison condition (Sham) being conducted in Veterans with comorbid psychiatric conditions completing outpatient standard care.MethodsOne hundred thirty-six Veterans currently receiving outpatient treatment for AUD will be recruited for this randomized controlled trial with parallel group assignment. Participants will be randomized to either 6 weeks of AAT (n = 68) or Sham (n = 68) training in conjunction with usual care. Assessments will occur at baseline and 6 weeks, 3 months, and 6 months post-baseline. Primary outcome variables will include functional consequences of drinking. Secondary outcome variables will include alcohol consumption, and behavioral indicators of alcohol approach bias. A subset of participants (n = 51) will also complete functional magnetic resonance imaging (fMRI) to assess neural response during an alcohol approach bias assessment.DiscussionThis study is the first randomized controlled trial of AAT administered as an adjunctive treatment to standard care in Veterans with AUD and comorbid psychiatric disorders. Additionally, behavioral and neuroimaging data will be used to determine the extent to which AAT targets approach bias for alcohol cues. If effective, AAT may be a promising low-cost adjunctive treatment option for individuals with AUD.Registry nameAAT for Alcohol Use Disorder in Veterans.Trial registrationClinicalTrials.gov: NCT05372029; Date of Registration: 5/9/2022.

Biased processing of game-related information in problematic mobile gaming users

AbstractBackground and aimsThe present study investigated processing bias for game-related cues in problematic mobile gamers (PMGs) under or above the threshold of conscious awareness.MethodsIn Experiment 1, all participants (20 PMGs and 23 casual players (CPs)) finished a masked visual probe task during a brief (17ms) masked exposure condition. In Experiment 2, an unmasked visual probe task was conducted by an additional forty participants (20 PMGs and 20 CPs) at two exposure durations (200 and 500ms).ResultsResults showed that PMGs, but not CPs, had an attentional bias for game-related cues which had been presented with two exposure durations (17 and 200ms).Discussion and conclusionIn conclusion, the present study provides evidence that bias in PMGs could be observed both preconsciously and consciously. The results are discussed with reference to incentive sensitization theory and automatic action schema theory.

Unintended Consequences of Trying to Help: Augmented Target Recognition Cues Bias Perception

Unintended Consequences of Trying to Help: Augmented Target Recognition Cues Bias Perception

Dynamic attentional bias for pictorial and textual food cues in the visual search paradigm

Previous studies have found that individuals have an attentional bias for food cues, which may be related to the energy level or the type of stimulus (e.g., pictorial or textual food cues) of the food cues. However, the available evidence is inconsistent, and there is no consensus about how the type of stimulus and food energy modulate food-related attentional bias. Searching for food is one of the most important daily behaviors. In this study, a modified visual search paradigm was used to explore the attentional bias for food cues, and eye movements were recorded. Food cues consisted of both food words and food pictures with different energy levels (i.e., high- and low-calorie foods). The results showed that there was an attentional avoidance in the early stage but a later-stage attentional approach for all food cues in the pictorial condition. This was especially true for high-calorie food pictures. Participants showed a later-stage conflicting attentional bias for foods with different energy levels in the textual condition. They showed an attentional approach to high-calorie food words but an attentional avoidance of low-calorie food words. These data show that food-related attentional bias varied along with different time courses, which was also modulated by the type of stimulus and food energy. These findings regarding dynamic attentional bias could be explained using the Goal Conflict Model of eating behavior.

Assessing attentional bias for alcohol-related cues using eye tracking in a virtual reality environment

Several experimental paradigms were developed to measure attentional biases towards alcohol-related cues. However, most of them are based on reaction times to two-dimensional stimuli displayed on a computer screen, such that their ecological validity has been questioned. To address this, we integrated an eye tracking system into a virtual reality headset (ET-VR) and measured attentional biases in a subclinical population of alcohol users. In this exploratory study, forty social drinkers were recruited and immersed in a virtual bar including alcohol-related stimuli. Attentional focus was assessed using dwell time and number of fixations for these alcohol-related stimuli as well as for neutral stimuli unrelated to alcohol consumption. The results show that the number of fixations and, to a lesser extent, the dwell time for alcohol-related cues were positively correlated with the drinking motivation of the participants. In contrast, no significant correlation was found for neutral stimuli. In conclusion, the present study shows that alcohol-induced attentional biases can be studied using an ET-VR device in a subclinical population of alcohol users.

The effects of prosocial lyrics music on attentional bias

Music is one of the most common social media in people’s lives, and music with prosocial lyrics can promote an individual’s prosocial behaviors. The social information processing model points out that an individual’s behavior is affected by the selective processing of attentional information. This study used a spatial cue paradigm to compare the differences in attentional bias for prosocial cues between music with prosocial and neutral lyrics. The results show that music with prosocial lyrics can induce attentional engagement toward prosocial words, but not difficulty in attentional disengagement. This study revealed that individuals are more likely to pay attention to prosocial information after listening to music with prosocial lyrics, and that attention may play an important role in the impact of music on individuals’ behaviors.

P3. Cigarette Cue Attentional Bias in Smokers With and Without HIV

Attentional bias (AB) for cigarette cues may provide insights into the severity of tobacco use. It may also predict relapse. AB is often assessed using response times to a dot probe task. Eye tracking allows for measuring gaze time on smoking and neutral cues presented simultaneously on a screen. Herein we sought to validate a cigarette cue AB task utilizing images from a validated database. We enrolled a sample of smokers with HIV, as they smoke at three times the general population rate. We compared AB in cigarette smokers with (N=10) and without (N=9) HIV.

Sadness-associated eating styles and visual food cue reactivity: An eye-tracking investigation

BackgroundEmotional eating has been associated with biases of attention and memory for visual food cues. This eye-tracking study investigated whether the tendency to overeat in response to sadness is associated with the inspection and recall of visual food cues. MethodParticipants (n = 115, mean age = 26 years, 70 females, 45 males) viewed images depicting food and non-food. We compared gaze duration, ‘hyperscanning’ parameters (fixation duration, saccadic angle, scan path length), and recall performance between different image categories (high-calorie, low-calorie food, non-food) and groups with different sadness-associated eating styles (increased, decreased, unchanged food consumption during states of sadness). ResultsThe group with sadness-related overeating reported a higher body mass index than the other groups, but neither displayed a visual attention bias nor memory bias for food cues. We observed a prolonged gaze duration for low-calorie food cues, which were rated as more appetizing than high-calorie cues. All participants recalled more food cues (low- and high-calorie) than non-food cues independent of gaze duration. ConclusionThis study expanded previous research designs by groups that decrease vs. increase the amount eaten when feeling sad, and food/non-food images that were carefully matched for visual properties. Based on this approach, we were not able to show that self-disclosed sadness eating is associated with visual/memory biases for food images.

Eye tracking applied to tobacco smoking: current directions and future perspectives.

Over the years the general awareness of the health costs associated with tobacco smoking has motivated scientists to apply the measurement of eye movements to this form of addiction. On one hand they have investigated whether smokers attend and look preferentially at smoking related scenes and objects. In parallel, on the other hand eye tracking has been used to test how smokers and nonsmokers interact with the different types of health warning that policymakers have mandated in tobacco advertisements and packages. Here we provide an overview of the main findings from the different lines of research, such as the evidence related to the attentional bias for smoking cues in smokers and the evidence that graphic warning labels and plain packages measurably increase the salience of the warning labels. We point to some open questions, such as the conditions that determine whether heavy smokers exhibit a tendency to actively avoid looking at graphic warning labels. Finally we argue that the research applied to gaze exploration of warning labels would benefit from a more widespread use of the more naturalistic testing conditions (e.g. mobile eye tracking or virtual reality) that have been introduced to study the smokers’ attentional bias for tobacco-related objects when freely exploring the surrounding environment.

Exercise increases attentional bias towards food cues in individuals classified as overweight to obese

BackgroundThe obesity epidemic continues to be a major public health concern. Although exercise is the most common weight loss recommendation, weight loss outcomes from an exercise program are often suboptimal. The human body compensates for a large percentage of the energy expended through exercise to maintain energy homeostasis and body weight. Increases in energy intake appear to be the most impactful compensatory behavior. Research on the mechanisms driving this behavior has not been fully elucidated. PurposeTo determine if exercise influences the attentional processing towards food cues (attentional bias) and inhibitory control for food cues among individuals classified as overweight to obese who do not exercise. MethodsThirty adults classified as overweight to obese participated in a counterbalanced, crossover trial featuring two assessment visits on separate days separated by at least one week. Attentional bias and inhibitory control towards food cues was assessed prior to and after a bout of exercise where participants expended 500 kcal (one assessment visit) and before and after a 60 min bout of watching television (second assessment visit). Attentional bias was conceptualized as the percentage of time fixated on food cues when both food and neutral (non-food) cues were presented during a food-specific dot-probe task. Inhibitory control, specifically motor impulsivity, was assessed as percentage of inhibitory failures during a food-specific Go/NoGo task. ResultsA significant condition by time effect was observed for attentional bias towards food cues, independent of hunger, whereas attentional bias towards food cues was increased pre-post exercise but not after watching TV. Inhibitory control was not affected by exercise or related to attentional bias for food cues. ConclusionsAn acute bout of exercise increased attentional bias for food cues, pointing to a mechanism that may contribute to the weight loss resistance observed with exercise. Future trials are needed to evaluate attentional bias towards food cues over a longitudinal exercise intervention.

A Randomized Controlled Trial of Attentional Control Training for Treating Alcohol Use Disorder.

Background: There is consistent evidence that community and clinical samples of individuals with an alcohol use disorder (AUD) have attentional biases toward alcohol cues. The alcohol attentional control training program (AACTP) has shown promise for retraining these biases and decreasing alcohol consumption in community samples of excessive drinkers. However, there is a lack of evidence regarding the effectiveness of ACTP in clinical AUD samples. The main aim of the present study is to investigate whether primary pharmacological and psychological, evidence-based alcohol treatment can be enhanced by the addition of a gamified AACTP smartphone application for patients with an AUD.Design and Methods: The study will be implemented as a randomized controlled trial. A total of 317 consecutively enrolled patients with AUD will be recruited from alcohol outpatient clinics in Denmark. Patients will be randomized to one of three groups upon initiation of primary alcohol treatment: Group A: a gamified AACTP smartphone application + treatment as usual (TAU); Group B: a gamified AACTP sham-control application + TAU; or Group C: only TAU. Treatment outcomes will be assessed at baseline, post-treatment, and at 3- and 6-month follow-ups. Repeated measures MANOVA will be used to compare the trajectories of the groups over time on alcohol attentional bias, alcohol craving, and drinking reductions. It is hypothesized that Group A will achieve better treatment outcomes than either Group B or Group C.Perspectives: Because attentional bias for alcohol cues is proportional to the amount of alcohol consumed, and these biases are not addressed within current evidence-based treatment programs, this study is expected to provide new evidence regarding the effectiveness of the gamified AACTP in a clinical population. Furthermore, due to promising results found using AACTP in community samples of excessive drinkers, there is a high probability that the AACTP treatment in this study will also be effective, thereby allowing AACTP to be readily implemented in clinical settings. Finally, we expect that this study will increase the effectiveness of evidence-based AUD treatment and introduce a new, low-cost gamified treatment targeting patients with an AUD. Overall, this study is likely to have an impact at the scientific, clinical, and societal levels.Clinical Trial Registration: https://clinicaltrials.gov/ct2/show/NCT05102942?term=NCT05102942&draw=2&rank=1, identifier: NCT05102942.

Bayesian decision theory and navigation.

Spatial navigation is a complex cognitive activity that depends on perception, action, memory, reasoning, and problem-solving. Effective navigation depends on the ability to combine information from multiple spatial cues to estimate one's position and the locations of goals. Spatial cues include landmarks, and other visible features of the environment, and body-based cues generated by self-motion (vestibular, proprioceptive, and efferent information). A number of projects have investigated the extent to which visual cues and body-based cues are combined optimally according to statistical principles. Possible limitations of these investigations are that they have not accounted for navigators' prior experiences with or assumptions about the task environment and have not tested complete decision models. We examine cue combination in spatial navigation from a Bayesian perspective and present the fundamental principles of Bayesian decision theory. We show that a complete Bayesian decision model with an explicit loss function can explain a discrepancy between optimal cue weights and empirical cues weights observed by (Chen et al. Cognitive Psychology, 95, 105-144, 2017) and that the use of informative priors to represent cue bias can explain the incongruity between heading variability and heading direction observed by (Zhao and Warren 2015b, Psychological Science, 26[6], 915-924). We also discuss (Petzschner and Glasauer's , Journal of Neuroscience, 31(47), 17220-17229, 2011) use of priors to explain biases in estimates of linear displacements during visual path integration. We conclude that Bayesian decision theory offers a productive theoretical framework for investigating human spatial navigation and believe that it will lead to a deeper understanding of navigational behaviors.

The influence of emotion on eating behavior

<p id=p00010>Eating behavior is not only regulated by the biological needs of people, but is also affected by emotional states, motivations, diseases, and more. There is a complex relationship between emotion and eating behavior. Consuming food can influence peoples emotion. On the other hand, food attention, subjective appetite, and food intake can be influenced by emotion. Many studies have focused on emotional eating due to negative emotions. However, fewer studies focus on the effect that positive emotion has on eating behavior. The relationship between positive emotion and eating behavior is still controversial, as the relationship is underrepresented in research. The present study analyzed the eating behavior of clinical and non-clinical individuals who were affected by negative or positive emotions, and further explored the neurophysiology of eating behaviors and the various theories of the effect that emotions have on eating behaviors. The results showed that negative emotion increased attentional bias and intake for food and subjective appetite in the general population. This process was also affected by other factors; for example, modest women may restrict their food intake while experiencing negative emotions, so they may regain a sense of control which would offset the unpleasant feelings they were experiencing. In this study, there were two results regarding the effect that positive emotion has on eating behaviors. One theory was that positive emotions broaden momentary thought-action repertoires of people, which in turn builds their endurance. This leads us to believe that people resist food intake after positive emotion is induced. However, contrarily, positive emotion could increase hedonistic behavior in people, thus increasing food intake to maintain the experience of pleasure. Negative emotion increased both attention bias for food cues and subsequent intake in people with bulimia nervosa and binge eating disorders. Negative emotion causes decreased food intake in people suffering from anorexia nervosa. Positive emotion decreased binge eating in people with bulimia nervosa and binge eating disorders and relieved restrictive eating behaviors in people with anorexia nervosa. According to the reward theory, negative emotion can enhance reward sensitivity toward food. Following increased food intake, this process may show a synergy effect in the amygdala, insula, orbitofrontal cortex, striatum, and ventromedial prefrontal cortex. Negative emotion ruins the inhibitory control of individuals, meaning that they may begin to overeat, in association with the activation of the anterior cingulate cortex. According to self-related theory, negative emotion induces negative self-awareness. People can show attention bias due to immediate environmental stimulus, as overeating is meant to help people escape from their own negative self-awareness. Placing their attention on binge eating allows people with bulimia or other binge eating disorders to avoid dealing with information or environmental stimulus that may be hurtful. From the perspective of social culture, most eating behaviors with positive emotion have some special or celebratory meaning which increases the hedonic-oriented eating behavior of the individual. In general, the association between emotion and eating behavior has a certain regularity to follow. In the study, during a negative emotion, an individual’s eating behavior manifested in an extreme, unhealthy pattern, whether that meant an increased or decreased food intake. This study found a direct association between emotion and eating behavior; However, social culture, symbolism and connotation of certain foods, and an individual’s default eating styles (disinhibited and restrained eating) should be considered alongside the influence that emotion has on eating behaviors. In addition, most past studies self-reported food intake and subjective appetite as recorded by the individuals as the measurement. Future studies should adopt neuro-physiological methods to explore the effect of emotion on eating behavior and study a small set of neurons in the hypothalamus which regulates appetite, for example.

Dynamic changes in the food-cue processing of obese adolescents: A controlled eye-tracking study from a dual-system perspective

Adolescent obesity is a growing global health problem. Studies have demonstrated that exposure to food cues plays a role in both the development and the persistence of obesity. Understanding how visual attention changes dynamically in response to food cues may explain how they contribute to obesity. The primary aims were to evaluate attentional bias for food cues and conduct a time-course analysis of obese adolescents' food-cue processing. We also investigated the roles of inhibition, cognitive flexibility, and eating styles in their visual attention to food stimuli. A total of 60 age- and gender-matched 12-16-year-olds (n = 30, obese group; n = 30, control group; M = 13.9 years, SD = 1.26) were included in this study's sample. The participants viewed a series of high-calorie and low-calorie food images along with nonfood images in the free exploration paradigm during eye-tracking. Time-course analysis of the proportion of fixations on images of food and high-calorie foods determined that the attentional processing of the two groups differed, especially in later stages. The obese group had higher Stroop Interference and Trail Making Test-B scores than the control group, but these executive functions' scores did not affect their proportions of fixations on food and high-calorie food images over time. Higher Perceptual Reasoning Index scores led to a decrease in the proportions of fixations on high-calorie food images over time in the obese group, and this was particularly noticeable after about 4000 ms. This study found that time-course analysis of visual attention to food cues allows us to understand how it changes dynamically over larger time intervals. Future studies should provide knowledge about maintained attention for food cues and their relationship with top-down factors in obese adolescents.

Sexual Attentional Bias in Young Adult Heterosexual Men: Attention Allocation Following Self-Regulation.

Being sexually aroused can lead to a stronger propensity to engage in sexual risk-taking and sexually coercive behaviors possibly by narrowing attentional focus toward immediate gratification rather than long-term consequences. The goal of this paper was to investigate the attentional processes implicated in sexual self-regulation failure and its moderating factors, namely having a stronger sensitivity to sexual cues (dual control model) or being less able to implement behavioral intentions (action control theory) following a first effortful task. A total of 82 young adult heterosexual men completed a Dot Probe task to assess their attentional bias toward sexual stimuli. Effortful control was manipulated using a Stroop task. Regardless of conditions, higher sexual excitability was predictive of a stronger attentional bias toward sexual cues, while higher inhibition due to threat of performance failure was predictive of a lower bias for such cues. In the experimental condition, action-oriented individuals were able to negate this attentional bias by staying more focused on the task, while state-oriented participants showed higher orientation toward the sexual cues and thus a higher bias. These results suggest that both higher-order processes, like intention implementation, and lower-order processes, like sexual inhibition and excitation systems, are the key to regulation failure.