Perceptual Bias Research Articles

Optimism Bias in Firearm-Related Risk Perceptions

This survey study assesses the perceptions of California adults about the safety and risk of personal firearm use or access vs firearm use or access by others.

Müller-Lyer Illusion susceptibility is conditionally predicted by autistic trait expression.

Müller-Lyer (ML) figures bias size estimation consistently, yet different methods can lead to different degrees of illusory bias. Autistic individuals may also be less likely to perceive illusory biases with varying levels of autistic trait expression proposed to modulate reported illusory biases. The Autism-Spectrum Quotient (AQ) and Systemizing Quotient (SQ) are self-report measures that quantify autistic trait expression and systemizing ability in neurotypical individuals. The current study sought to determine if perceptions of illusory size bias negatively correlate with autistic trait expression and the extent to which varying methods of illusion presentation change the magnitude of illusory bias. Thirty neurotypical adults completed both questionnaires as well as four size estimation tasks. Two tasks involved perceptual discrimination of ML figures by concurrent and successive presentation, where participants selected the longer figure by keypress. For Tasks 3 and 4, participants adjusted the size of a non-illusory line (Task 3) or complementary illusory figure (Task 4) to match the perceived length. Overall, task performance was not correlated with autistic trait expression. One exception was a negative correlation with AQ when adjusting a complementary illusory ML figure in Task 4. Illusory biases were also stronger when two illusory figures were presented concurrently. Given these results, illusion susceptibility to the ML is suggested to be reduced with increases in AQ, but only when the method of illusion measurement is adjustment of concurrent illusory figures. Taken together the results provide evidence that traits associated with autism in a neurotypical population may systematically modulate perception.

Self-initiation enhances perceptual processing of auditory stimuli in an online study.

Understanding how the brain incorporates sensory and motor information will enable better theory building on human perception and behavior. In this study, we aimed to estimate the influence of predictive mechanisms on the magnitude and variability of sensory attenuation in two online samples. After the presentation of a visual cue stimulus, participants (Experiment 1: N = 224, Experiment 2: N = 84) compared the loudness of two consecutive tones in a two-alternative forced-choice task. In Experiment 1, the first tone was either self-initiated or not; in Experiment 2, the second tone was either self-initiated or not (active and passive condition, respectively). We further manipulated identity prediction (i.e., the congruence of pre-learned cue-sound combinations; congruent vs. incongruent), and the duration of the onset delay (to account for effects of attentional differences between the passive and active condition, 50 ms vs. 0 ms). We critically discuss our results within the framework of both classical (i.e., motor-based forward models) and contemporary approaches (i.e., predictive processing framework). Contrary to our preregistered hypothesis, we observed enhanced perceptual processing, instead of attenuation, for self-initiated auditory sensory input. Further, our results reveal an effect of fixed sound delays on the processing of motor and non-motor-based predictive information, and may point to according shifts in attention, leading to a perceptual bias. These results might best be captured by a hybrid explanatory model, combining predictions based on self-initiated motor action with a global predictive mechanism.

Top-down threat bias in pain perception is predicted by higher segregation between resting-state networks.

Top-down processes such as expectations have a strong influence on pain perception. Predicted threat of impending pain can affect perceived pain even more than the actual intensity of a noxious event. This type of threat bias in pain perception is associated with fear of pain and low pain tolerance, and hence the extent of bias varies between individuals. Large-scale patterns of functional brain connectivity are important for integrating expectations with sensory data. Greater integration is necessary for sensory integration; therefore, here we investigate the association between system segregation and top-down threat bias in healthy individuals. We show that top-down threat bias is predicted by less functional connectivity between resting-state networks. This effect was significant at a wide range of network thresholds and specifically in predefined parcellations of resting-state networks. Greater system segregation in brain networks also predicted higher anxiety and pain catastrophizing. These findings highlight the role of integration in brain networks in mediating threat bias in pain perception.

MATCHING DYADIC RESEARCH QUESTIONS WITH DYADIC ANALYTIC MODELS

Abstract Examining shared and common experiences between dyads affords opportunities to answer interesting research questions using dyadic data. Emerging dyadic methodology has expanded the types of research questions researchers can ask and answer. This session aims to equip researchers with knowledge and resources for grant writing, when planning new data collection projects, or when conducting secondary data analyses. Reviewing both cross-sectional and longitudinal methods, we will walk attendees through several types of research questions and match them with appropriate dyadic analytic strategies. These include the Actor-Partner Interdependence Model (APIM), the Common Fate Model, the Dyadic Growth Curve Model (and ALT Model), the Common Fate Growth Curve Model, the Random Intercept Cross-lagged Model, as well as various extensions. We will address accounting for non-independence in dyadic models, along with how to explore substantive dyadic processes. We will review ways that different approaches conceptualize, assess, and examine within and between dyad comparisons. We will also consider ways to address self and other reports of the same construct, such as health congruence/concordance or discordance/difference, as well as perceptions of accuracy or bias, enhancement, and idealization between dyads. Attendees will learn of resources available to learn more about the methods addressed in this session.

COGNITIVE MISPERCEPTION, DISABILITY, AND MORTALITY AMONG OLDER ADULTS IN 25 COUNTRIES

Abstract Despite a large body of literature on cognitive ability and health, less is known about the health consequences of biased cognitive perception. Using harmonized and nationally representative longitudinal surveys from 25 countries spanning Asia, Europe and the Americas, we document the growing gap between actual and perceived cognitive ability that appears to increase with age, and construct a standardized measure of cognitive misperception. Linking this novel measure with mortality and disability, we model the cognitive misperception – health gradient. Results show that being in the upper quartile of cognitive misperception (i.e., showing heightened overconfidence in cognition) leads to higher mortality rates within 1 year, 3 years, and 5 years. Conditional on survival, being overconfident in cognition also greatly increases the risks of incident disability and frailty, especially for older adults receiving less family support. We identify two possible pathways inducing poorer outcomes: the first stemming from increased risk taking and financial vulnerability; the second associated with suboptimal use of preventive services and declines in health-promoting behaviors. Given the large and profound impacts of cognitive misperception on older adults’ health and well-being, more family and social supports, public investment in education and health literacy, and better healthcare access and affordability are needed to increase the timely awareness of cognitive decline.

Daily perceptions of romantic partner autonomy support and undermining of health behavior

Objective This study examined accuracy and bias in daily perceptions of a romantic partner’s autonomy support and undermining of health behaviors and the associations between misperceptions and both partners’ daily experiences. Design A sample of 106 cohabiting couples from the community completed daily reports (N = 2377) of their own and their partner’s autonomy support and undermining, and their daily experiences. Results We found tracking accuracy and projection in perceptions of provider’s autonomy support and undermining, and evidence of misperceptions: people over-perceived the provider’s undermining and under-perceived the provider’s autonomy support. Misperceptions were linked with more negative experiences, indicating support and undermining may have the most benefit and least harm when more accurately perceived. Conclusion Although there is some accuracy in daily perceptions of provider support and undermining of health behaviors, there are also biases at play in perceptions and misperceptions are linked with more negative experiences, indicating that support and undermining have the most benefit and least harm to both perceiving and providing partners when such behaviors are accurately perceived.

Missing a beam in thine own eye: Motivated perceptions of collective narcissism

This work examines lay beliefs about the societal implications of different forms of ingroup identity. While secure ingroup identity reflects a genuine attachment to one’s ingroup members, defensive forms of identity are aimed at satisfying individual enhancement motives through highlighting belongingness to an exceptional group. The latter can be exemplified by collective narcissism, a belief in ingroup greatness and entitlement to privileged treatment, which has been linked to undesirable intra- and intergroup outcomes. In three experiments (total N = 473), conducted in the context of national identities, we investigated how people perceive the manifestations of collective narcissism, contrasted with secure ingroup identity and low identity. Across all studies, participants expected the highest outgroup hostility and poorest intragroup relations from those high in collective narcissism. However, perceivers who were themselves high in collective narcissism were less likely to expect these undesirable manifestations, thus revealing a biased perception of similar others.

The Role of Media in Risk Management Processes—Analysis of the News Coverage of the Forest Fires in Spain

This paper focuses on the analysis of information on environmental catastrophes published in the digital editions of different national and regional newspapers, from a theoretical perspective that situates them as possible amplifiers of the social perception of risk or generators of alarm among the population in situations of risk or catastrophe. Within this framework, the general objective of the research was to find out to what extent the analysed media (a) transmit specialized, accurate, truthful and contrasted information that moves away from the characteristics of sensationalist news; (b) are useful sources of information for the public in the face of the possibility that they may act as generators of confusion and biased perceptions; and (c) show “communication gaps” in their news in relation to two cases of forest fires in Spain: the fires in Galicia in 2017 and those in Gran Canaria in 2019. The results obtained highlight the need for the media to make an effort to transmit truthful and useful communication for citizens in situations of crisis or catastrophe.

Perception and attitude toward the regulation of online video streaming (in South Korea)

Abstract As the production and consumption of live video streaming have increased, a general concern is that live video streaming might yield social problems. This paper investigated how people perceived the current status of live video streaming through a nationwide survey. The survey was conducted with 825 users and 335 non-users in South Korea. The results demonstrate that people perceived live video streaming has more impact on adolescents than themselves, which confirms that the previous study of third-person perception. Respondents also evaluated that the current self-regulatory system is not functioning properly and regulation of live video streaming is required. Especially non-users are more supportive of regulation than users. The perception bias, the difference between the perceived influence on self and adolescents, is the strongest predictor of the need for regulation. Because of the difference between users and non-users regarding the perception of live video streaming, this study recommends that the policymakers should consider the actual status of live video streaming and not perception-based biases in orienting regulation.

Kesetaraan Gender Egalitarianisme dalam Narasi Film Barbie melalui Perspektif Konstruktivisme

The issue of gender equality is not something new today. This issue has been widely discussed in a series of interesting stories full of meaning, one of which is in the form of a film. This research explores the representation of gender equality in the Barbie film released in 2023 and directed by Greta Gerwig from a constructivist perspective. The Barbie film is mass media that influences people's perceptions of gender bias. In the context of constructivism, films are considered the result of construction by media professionals, which can strengthen or change gender stereotypes that already exist in society. The research method used is a qualitative approach with Roland Barthes' semiotic analysis. The constructivism paradigm is used to understand how reality is understood and constructed by research subjects. The research subject is the representation of gender equality in the Barbie film narrative, while the research object is the dialogues in the film that will be analyzed. The results of the analysis show that the Barbie film depicts excessive expectations placed on women and criticizes views that trivialize or simplify issues of gender equality. The conclusion of this research is that the Barbie film as part of mass media depicts gender equality issues in a complex way and triggers critical thinking about gender stereotypes in society.

Medical Trainees' Knowledge and Attitudes Towards Electronic Cigarettes and Hookah: A Multinational Survey Study.

The rising prevalence of electronic cigarette (e-cigarette) and hookah use among youth raises questions about medical trainees' views of these products. We aimed to investigate medical trainees' knowledge and attitudes toward e-cigarette and hookah use. We used data from a large cross-sectional survey of medical trainees in Brazil, the United States, and India. We investigated demographic and mental health aspects, history of e-cigarettes and tobacco use, knowledge and attitudes toward e-cigarettes and hookah, and sources of information on e-cigarettes and hookah. Although all medical trainees were eligible for the original study, only senior students and physicians-in-training were included in the present analysis. Of 2,036 senior students and physicians-in-training, 27.4% believed e-cigarette use to be less harmful than tobacco smoking. As for hookah use, 14.9% believed it posed a lower risk than cigarettes. More than a third of trainees did not acknowledge the risks of passive e-cigarette use (42.9%) or hookah smoking (35.1%). Also, 32.4% endorsed e-cigarettes to quit smoking, whereas 22.5% felt ill equipped to discuss these tobacco products with patients. Fewer than half recalled attending lectures on these topics, and their most common sources of information were social media (54.5%), Google (40.8%), and friends and relatives (40.3%). Medical trainees often reported incorrect or biased perceptions of e-cigarettes and hookah, resorted to unreliable sources of information, and lacked the confidence to discuss the topic with patients. An expanded curriculum emphasis on e-cigarette and hookah use might be necessary because failing to address these educational gaps could risk years of efforts against smoking normalization.

Improving Text-Independent Forced Alignment to Support Speech-Language Pathologists with Phonetic Transcription.

Problem: Phonetic transcription is crucial in diagnosing speech sound disorders (SSDs) but is susceptible to transcriber experience and perceptual bias. Current forced alignment (FA) tools, which annotate audio files to determine spoken content and its placement, often require manual transcription, limiting their effectiveness. Method: We introduce a novel, text-independent forced alignment model that autonomously recognises individual phonemes and their boundaries, addressing these limitations. Our approach leverages an advanced, pre-trained wav2vec 2.0 model to segment speech into tokens and recognise them automatically. To accurately identify phoneme boundaries, we utilise an unsupervised segmentation tool, UnsupSeg. Labelling of segments employs nearest-neighbour classification with wav2vec 2.0 labels, before connectionist temporal classification (CTC) collapse, determining class labels based on maximum overlap. Additional post-processing, including overfitting cleaning and voice activity detection, is implemented to enhance segmentation. Results: We benchmarked our model against existing methods using the TIMIT dataset for normal speakers and, for the first time, evaluated its performance on the TORGO dataset containing SSD speakers. Our model demonstrated competitive performance, achieving a harmonic mean score of 76.88% on TIMIT and 70.31% on TORGO. Implications: This research presents a significant advancement in the assessment and diagnosis of SSDs, offering a more objective and less biased approach than traditional methods. Our model's effectiveness, particularly with SSD speakers, opens new avenues for research and clinical application in speech pathology.

Deep learning-driven multi-view multi-task image quality assessment method for chest CT image

BackgroundChest computed tomography (CT) image quality impacts radiologists’ diagnoses. Pre-diagnostic image quality assessment is essential but labor-intensive and may have human limitations (fatigue, perceptual biases, and cognitive biases). This study aims to develop and validate a deep learning (DL)-driven multi-view multi-task image quality assessment (M2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$^2$$\\end{document}IQA) method for assessing the quality of chest CT images in patients, to determine if they are suitable for assessing the patient’s physical condition.MethodsThis retrospective study utilizes and analyzes chest CT images from 327 patients. Among them, 1613 images from 286 patients are used for model training and validation, while the remaining 41 patients are reserved as an additional test set for conducting ablation studies, comparative studies, and observer studies. The M2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$^2$$\\end{document}IQA method is driven by DL technology and employs a multi-view fusion strategy, which incorporates three scanning planes (coronal, axial, and sagittal). It assesses image quality for multiple tasks, including inspiration evaluation, position evaluation, radiation protection evaluation, and artifact evaluation. Four algorithms (pixel threshold, neural statistics, region measurement, and distance measurement) have been proposed, each tailored for specific evaluation tasks, with the aim of optimizing the evaluation performance of the M2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$^2$$\\end{document}IQA method.ResultsIn the additional test set, the M2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$^2$$\\end{document}IQA method achieved 87% precision, 93% sensitivity, 69% specificity, and a 0.90 F1-score. Extensive ablation and comparative studies have demonstrated the effectiveness of the proposed algorithms and the generalization performance of the proposed method across various assessment tasks.ConclusionThis study develops and validates a DL-driven M2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$^2$$\\end{document}IQA method, complemented by four proposed algorithms. It holds great promise in automating the assessment of chest CT image quality. The performance of this method, as well as the effectiveness of the four algorithms, is demonstrated on an additional test set.

Gender Roles, Gender Bias, and Cultural Influences: Perceptions of Male and Female UAE Public Relations Professionals

Research into gender dynamics in the Public Relations (PR) industry has suggested that the gendered perceptions of PR roles, gender bias, and cultural norms may contribute to gender-related issues in the field. The current study, framed as an exploratory investigation, examines how PR professionals in the United Arab Emirates (UAE) perceive gender equality issues within their industry. Drawing on survey responses from 152 PR practitioners in the UAE, this research investigates the extent to which these professionals perceive gender equality issues in the PR sector. The survey results reveal positive perceptions of gender equality issues, although some specific gender-related concerns emerge. One key finding is that there are minimal gender differences in perceiving gender equality issues between male and female professionals. Respondents also expressed confidence that their organizations are implementing practices in support of gender equality and recognizing the impact of such practices on employee performance. Given the lack of data on gender equality in the UAE, this exploratory study contributes to a better understanding of gender equality among professionals and provides insights into the strategies for advancing gender equality in the sector.

Poster Session I: Dissociation of torsional eye movements and perception during optokinetic stimulation by visual cues of gravity.

An optokinetic stimulus rotating about the naso-occipital axis drives torsional eye movements and causes a bias in perception of upright measured with a subjective visual vertical (SVV) task. In addition, a static image with tilted visual cues of gravity orientation will induce optostatic torsion and biases SVV. We posit that a visual gravity cue provided by a frame combined with a torsional optokinetic stimulus would increase measured torsion and further bias SVV. We use a VR headset with eye-tracking to place the subject in a virtual room with circles forming either a rectangular room (frame condition) or a tubular room (no-frame condition). We place a fixation point at the center of the room while the subject performs a SVV task. The room either rotates about the naso-occipital axis at 0.05 Hz, 0.1 Hz, or 0.2 Hz, with an amplitude of ±20°, or has a static tilt of 0° or ±30°. Static frame conditions had the expected bias of SVV and optostatic torsion compared to the control no-frame condition. In sinusoidal rotation conditions, for SVV, there was a significant difference in the amplitude of the response between the frame (5.4 ± 2.6°; mean ± std) and no-frame (3.0 ± 1.3°) condition, while there was no significant difference for torsion, frame (0.8 ± 0.6°) and no-frame (0.7 ± 0.6°). Our results indicate that while perception integrates a moving visual cue into its estimation of upright orientation, the ocular motor system is only affected by those cues when they are static.

Interoceptive ability moderates the effect of physiological reactivity on social judgment.

Social judgments-that others are kind or cruel, well intentioned, or conniving-can ease or disrupt social interactions. And yet a person's internal state can alter these judgments-a phenomenon known as affective realism. We examined the factors that contribute to, and mitigate, affective realism during a stressful interview. Using data collected between 2015 and 2019, we hypothesized and found that individuals' ability (N = 161; 57.6% female; 57.6% European American, 13.6% African American, 13.6% Asian American, 6.4% Latinx, 6.0% biracial, and 2.8% that identified with none or 1 + of the races presented; Mage = 19.20 years) to accurately perceive their own internal sensations (i.e., heartbeats) influenced whether they attributed their own heightened stress reactions (i.e., sympathetic nervous system reactivity) to the behavior of two impassive interviewers. Participants who were poor heartbeat detectors perceived their interviewers as less helpful, polite, or professional, and more apathetic, judgmental, and aggressive when experiencing heightened levels of cardiovascular sympathetic nervous system reactivity during their interview. Being aware of one's internal state may be one pathway to reducing bias in social perceptions in circumstances where such biases may lead us astray. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Who, or Rather, What Painted This? Generation Z's Attitudes Towards Artificial Intelligence Artworks

Throughout art history, the exact boundaries of what can and cannot be considered art has long been debated, and the rise of artificial intelligence (AI) algorithms that produce artworks has rekindled this debate in the context of technology. History indicates that the answer to what is considered “art” largely depends on the evaluator’s personal definition of creativity and their perception of the artist, which gives reason to investigate people’s attitudes towards AI art. Pre-existing research has discovered a negative perception bias towards AI artists in adult generations. However, no studies have been conducted on Generation Z specifically. Gen Z possesses a close association to technology which distinguishes them from previous generations, and could therefore produce differing attitudes towards AI art. Therefore, this study seeks to investigate: what are Generation Z’s attitudes towards AI art? This study defined “attitudes” to combine attitudes towards the artist, and attitudes towards the artworks. Therefore, a mixed method study consisting of 1) a ratings test to examine any perception biases towards AI artists, and 2) a questionnaire to investigate the criteria Gen Z used to determine value in AI artworks were combined to answer this question. It was concluded that Generation Z had a neutral attitude towards AI artists and responded rather well to AI art styles of landscape paintings.

Healthcare bias and health inequalities towards displaced Syrians in Lebanon: a qualitative study.

According to Lebanese official data, Lebanon hosts over 1.5 million displaced Syrians (DS). Research shows that migrants encounter barriers when accessing healthcare. The social determinants of health (SDOH) related to migration are an additional challenge for DS in Lebanon, though bias plays a significant factor in exacerbating health inequalities. This study aims to identify DS perception of healthcare biases in the Lebanese healthcare system, and its consequences on DS' accessing and receiving quality healthcare in Lebanon. A qualitative analysis using in-depth, semi-structured interviews was utilized. 28 semi-structured interviews were conducted with doctors (n = 12) and nurses (n = 16) in 2021. Six group interviews were conducted with DS (n = 22) in Lebanese healthcare facilities. The recruitment of participants relied on reasoned and targeted sampling. Thematic analysis was performed to identify common themes in participants' experiences with DS accessing Lebanese healthcare. The findings indicated that there were barriers to accessing healthcare related to the SDOH, such as transportation and financial resources. The results also suggested that DS perceived health biases, including discriminatory behavior from Lebanese healthcare providers, stereotypes and racism leading to health inequalities. Based on the perceptions and experiences reported by participants, the underlying causes of biases are due to the fragility of the Lebanese healthcare system when facing a humanitarian crisis as well as a collapsing infrastructure torn by past wars and the current socio-political and financial crises in the country. Global initiatives are required to provide the necessary resources needed for offering equitable health services. Such initiatives involve addressing biases, health inequities, discrimination, and the lack of a Lebanese infrastructure system for the provision of healthcare. Addressing health inequalities remains a major health objective in achieving health equity on the micro level (cultural awareness and competencies) and macro level (equitable distribution of resources, implementation of a universal health coverage) in order to guarantee quality healthcare services to DS.

Neural mechanisms of sequential dependence in time perception: the impact of prior task and memory processing.

Our perception and decision-making are susceptible to prior context. Such sequential dependence has been extensively studied in the visual domain, but less is known about its impact on time perception. Moreover, there are ongoing debates about whether these sequential biases occur at the perceptual stage or during subsequent post-perceptual processing. Using functional magnetic resonance imaging, we investigated neural mechanisms underlying temporal sequential dependence and the role of action in time judgments across trials. Participants performed a timing task where they had to remember the duration of green coherent motion and were cued to either actively reproduce its duration or simply view it passively. We found that sequential biases in time perception were only evident when the preceding task involved active duration reproduction. Merely encoding a prior duration without reproduction failed to induce such biases. Neurally, we observed activation in networks associated with timing, such as striato-thalamo-cortical circuits, and performance monitoring networks, particularly when a "Response" trial was anticipated. Importantly, the hippocampus showed sensitivity to these sequential biases, and its activation negatively correlated with the individual's sequential bias following active reproduction trials. These findings highlight the significant role of memory networks in shaping time-related sequential biases at the post-perceptual stages.