Judgment Behavior Research Articles

A Dramaturgical Position to Reveal the Affect of Space on Discriminatory Judgments of Behaviour

AbstractBuilt environment disciplines investigate how spaces affect discriminatory judgments between community members through a body of knowledge called discriminatory design. Spatial-discriminatory events occur in various ways, however, they are more potently identified and studied in relation to the static attributes of people and space; how people look, or where they are in relation to space. This paper answers calls from scholars for an alternative position to investigate how spaces affect judgments of people’s behaviour. The paper builds and rationalises a theoretical hypothesis formed through Goffman’s dramaturgy which is tested and refined through a survey-experiment. The study offers an alternative theoretical position for researchers that aim to bring the behavioural dimension of spatial discrimination into focus.

“Why did she do that?”: Chinese children's preference for trait‐based explanations of behavior

AbstractThe current study addressed the extent to which Chinese children rely on situational characteristics to reason about the causes of valenced behavior (i.e., positive or negative). Specifically, one hundred fifteen 4‐ to 7‐year‐olds from Hangzhou, China, were asked to attribute a character's behavior toward a peer to either that character's traits (e.g., “nice”) or the situation (e.g., being tired and being happy). Across ages, children made trait attributions for both positive and negative behavior but were least likely to do so when information about the character's emotions was available, particularly in congruent valence conditions. In addition, children made an intentionality judgment about whether the character's behavior was accidental or intentional. Overall, children judged positive behavior as intentional but were unsystematic in their judgments of negative behavior. These findings highlight cross‐cultural similarities in children's personal perception and suggest connections between trait and mental state reasoning that may inform strategies for peer relationships.

Neuronal and Behavioral Responses to Naturalistic Texture Images in Macaque Monkeys.

The visual world is richly adorned with texture, which can serve to delineate important elements of natural scenes. In anesthetized macaque monkeys, selectivity for the statistical features of natural texture is weak in V1, but substantial in V2, suggesting that neuronal activity in V2 might directly support texture perception. To test this, we investigated the relation between single cell activity in macaque V1 and V2 and simultaneously measured behavioral judgments of texture. We generated stimuli along a continuum between naturalistic texture and phase-randomized noise and trained two macaque monkeys to judge whether a sample texture more closely resembled one or the other extreme. Analysis of responses revealed that individual V1 and V2 neurons carried much less information about texture naturalness than behavioral reports. However, the sensitivity of V2 neurons, especially those preferring naturalistic textures, was significantly closer to that of behavior compared with V1. The firing of both V1 and V2 neurons predicted perceptual choices in response to repeated presentations of the same ambiguous stimulus in one monkey, despite low individual neural sensitivity. However, neither population predicted choice in the second monkey. We conclude that neural responses supporting texture perception likely continue to develop downstream of V2. Further, combined with neural data recorded while the same two monkeys performed an orientation discrimination task, our results demonstrate that choice-correlated neural activity in early sensory cortex is unstable across observers and tasks, untethered from neuronal sensitivity, and therefore unlikely to directly reflect the formation of perceptual decisions.

Is it art? Effects of framing images as art versus non-art on gaze behavior and aesthetic judgments.

Is it art? Effects of framing images as art versus non-art on gaze behavior and aesthetic judgments.

A Bayesian network model integrating organizational, individual and psychological factors for strengthening construction worker safety behavior

Objectives. Construction worker safety behavior (CWSB) may be affected by a confluence of multilevel and interrelated factors. Cultivating and maintaining CWSB is vital for improving construction safety. Current studies focus on organization-level or individual-level CWSB antecedents. However, few studies have examined the influence of psychological factors on CWSB, thereby reducing the joint effects of multilevel factors on CWSB. Methods. To determine effective strategies for strengthening CWSB, this study adopted the Bayesian network technique to explore the interrelationships between CWSB and its antecedent factors. A Bayesian belief network model was developed and trained with data collected from Chinese construction workers, which connected organizational, individual and psychological factors with CWSB. Results. According to the sensitivity analysis, safety knowledge, safety climate and psychological capital are the three most significant influencing factors for CWSB. A combined strategy that enhances safety knowledge, safety climate and communication competence simultaneously is the most effective option for strengthening CWSB. The validation and robustness of the network showed good accuracy for safety behavior judgment. Conclusion. This study proposes an alternative way to improve safety behavior by identifying its interactive causes and illustrates the importance of initiating systematic safety measures, which may help to mitigate the problem of safety plateau.

Unveiling Unexpected Selfless Collectivism: Exploring Variances in Moral Beliefs Across Cultural Values.

The impact of moral beliefs on individuals' moral judgments, particularly within the framework of contrasting cultural values such as collectivism and individualism, continues to be a subject of interest. This research delves into whether individuals with distinct values display differences in moral beliefs, with a specific focus on selflessness. Through experiment 1 and 2, we scrutinize the moral judgments of individuals with diverse values concerning pro-social behaviors driven by selflessness and in-group favoritism. Experiment 3 investigates the underlying mechanisms by examining reward expectations. The findings from experiments 1 and 2 indicate that collectivists exhibit significantly higher moral judgment levels for selfless pro-social behaviors compared to individualists, highlighting a disparity in moral beliefs between the two value systems. Experimental 2 also found that collectivists' moral judgments rose and fell as rescuers' selflessness increased or decreased. However, individualist moral judgment did not change significantly with behavioral selflessness. The results reveal that collectivists hold higher reward expectations for selfless behavior, which contributes to their heightened moral judgment of selfless behavior. While it may be assumed that collectivists' moral beliefs would be dominated by in-group preferences, aligning with the conceptual in-group preference of collectivism, this study unexpectedly found evidence of collectivists' pursuit of selflessness in their moral beliefs. These findings offer initial evidence of distinct patterns of moral beliefs associated with collectivism and individualism, shedding light on potential reasons that lead collectivists to possess stronger moral beliefs about selflessness.

Assimilating human feedback from autonomous vehicle interaction in reinforcement learning models

A significant challenge for real-world automated vehicles (AVs) is their interaction with human pedestrians. This paper develops a methodology to directly elicit the AV behaviour pedestrians find suitable by collecting quantitative data that can be used to measure and improve an algorithm's performance. Starting with a Deep Q Network (DQN) trained on a simple Pygame/Python-based pedestrian crossing environment, the reward structure was adapted to allow adjustment by human feedback. Feedback was collected by eliciting behavioural judgements collected from people in a controlled environment. The reward was shaped by the inter-action vector, decomposed into feature aspects for relevant behaviours, thereby facilitating both implicit preference selection and explicit task discovery in tandem. Using computational RL and behavioural-science techniques, we harness a formal iterative feedback loop where the rewards were repeatedly adapted based on human behavioural judgments. Experiments were conducted with 124 participants that showed strong initial improvement in the judgement of AV behaviours with the adaptive reward structure. The results indicate that the primary avenue for enhancing vehicle behaviour lies in the predictability of its movements when introduced. More broadly, recognising AV behaviours that receive favourable human judgments can pave the way for enhanced performance.

Dynamic representation of multidimensional object properties in the human brain.

Our visual world consists of an immense number of unique objects and yet, we are easily able to identify, distinguish, interact, and reason about the things we see within a few hundred milliseconds. This requires that we integrate and focus on a wide array of object properties to support specific behavioral goals. In the current study, we examined how these rich object representations unfold in the human brain by modelling time-resolved MEG signals evoked by viewing single presentations of tens of thousands of object images. Based on millions of behavioral judgments, the object space can be captured in 66 dimensions that we use to guide our understanding of the neural representation of this space. We find that all dimensions are reflected in the time course of response with distinct temporal profiles for different object dimensions. These profiles fell into two broad types, with either a distinct and early peak (~125 ms) or a slow rise to a late peak (~300 ms). Further, early effects were stable across participants, in contrast to later effects which showed more variability, suggesting that early peaks may carry stimulus-specific and later peaks more participant-specific information. Dimensions with early peaks appeared to be primarily visual dimensions and those with later peaks more conceptual, suggesting that conceptual representations are more variable across people. Together, these data provide a comprehensive account of how behaviorally-relevant object properties unfold in the human brain and contribute to the rich nature of object vision.

Communication Strategies to Promote COVID-19 Vaccination Intention: How Effective are Source, Appeal, Framing, and Evidence Type Approaches?

ABSTRACT This systematic review analyzed the effectiveness of key persuasive strategies – source, appeal, framing, and evidence (SAFE) – on COVID-19 vaccination intention. Quantitative studies were searched in Web of Science, Scopus, and PubMed following the PRISMA guidelines. From the 61 studies that met inclusion criteria, source and framing are the most commonly applied SAFE strategies. However, source characteristics are a more consistent influence on vaccine intentions than message framing strategies, with expert sources and general practitioners emerging as the key sources contributing to greater vaccine intentions. In addition, a range of mediators and moderators influence the process through which SAFE message strategies impact vaccine intentions. Framing effects, in particular, are moderated by political identity, source characteristics, and vaccine perceptions. Tests of mediating processes highlight how health behavior judgments (e.g. perceived vaccine benefits, risks, trust in vaccination, perceived severity) and message response/perceptions (e.g. counterarguing, perceived similarity/empathy) operate as key intervening factors between SAFE message strategies and vaccine intentions. Overall, when practitioners apply various structural approaches (narrative elements, fear appeals, framing cues) to vaccine promotion campaigns, they should be cognizant of who is providing that appeal. Targeted populations may benefit most from different structural elements if they are integrated with sources that resonate with the audience.

Black and White Adults' Racial and Gender Stereotypes of Psychopathology Symptoms in Black and White Children.

Adults' judgments of children's behaviors play a critical role in assessment and treatment of childhood psychopathology. Judgments of children's psychiatric symptoms are likely influenced by racial biases, but little is known about the specific racial biases adults hold about children's psychiatric symptoms, which could play a critical role in childhood mental health disparities. This study examined one form of such biases, racial stereotypes, to determine if White and Black adults hold implicit and explicit racial stereotypes about common childhood psychopathology symptoms, and if these stereotypes vary by child gender and disorder type. Participants included 82 self-identified Black men, 84 Black woman, 1 Black transgender individual, 1 Black genderfluid individual, 81 White men, and 85 White women. Analyses of implicit stereotypes revealed that White adults associated psychopathology symptoms more strongly with Black children than did Black adults (p < .001). All adults held stronger implicit racial stereotypes for oppositional defiant disorder, anxiety, and depression than for attention-deficit/hyperactivity disorder (p < .001). For explicit stereotypes, White adults generally associated psychopathology symptoms more with Black children than did Black adults but effects varied across child gender and disorder type. As the first study to examine racial and gender stereotypes across common childhood psychopathology symptoms, these findings point to a need for further investigation of the presence and impact of racial biases in the mental healthcare system for Black youth and to identify interventions to mitigate the impacts of racial biases to inform racial equity in mental healthcare in the United States.

An Exploratory Data Analysis (EDA) Tool for Tracer Selection in Sediment and Pollution Fingerprinting Studies

Tracer selection is a critical step for any mixing model that uses the information of multiple variables to find the most likely solution for sediment or pollution source apportionment. The purpose of this work was to design an Exploratory Data Analysis (EDA) tool for qualitative and quantitative interpretation of tracer selection based on boxplots. This tool establishes a set of conditions presented as a decision tree to support the user in tracer selection decisions where current systems are either too statistically driven, which limits user interaction with the data, or rely too heavily on judgement and prior knowledge of tracer behaviour. This method extends upon the classical “range test” by incorporating a set of conditions and thresholds, creating a semi-quantitative method with a visual component to improve the tracer selection process and enable targeted consideration of geochemical behaviours for conservativism purposes. We present the results from experimental mixtures using the mixing model MixSIAR to demonstrate the method and illustrate the value of this approach for improved tracer selection. The tool, which is written in R, is freely available for use across a wide range of source apportionment applications.

Actual and Perceived Partisan Bias in Judgments of Political Misinformation as Lies

In times of what has been coined “post-truth politics,” people are regularly confronted with political actors who intentionally spread false or misleading information. The present article examines (a) to what extent partisans’ judgments of such behaviors as cases of lying are affected by whether the deceiving agent shares their partisanship (actual bias) and (b) to what extent partisans expect the lie judgments of others to be affected by a bias of this kind (perceived bias). In two preregistered experiments ( N = 1,040), we find partisans’ lie judgments to be only weakly affected by the partisanship ascribed to political deceivers, regardless of whether deceivers explicitly communicate or merely insinuate political falsehoods. At the same time, partisans expect their political opponents’ lie judgments to be strongly affected by the deceiving agents’ partisanship. Surprisingly, misperceptions of bias were also present in people’s predictions of bias within their own political camp.

An Accurate Prediction Method of Human Assembly Motion for Human–Robot Collaboration

In the process of human–robot collaborative assembly, robots need to recognize and predict human behaviors accurately, and then perform autonomous control and work route planning in real-time. To support the judgment of human intervention behaviors and meet the need of real-time human–robot collaboration, the Fast Spatial–Temporal Transformer Network (FST-Trans), an accurate prediction method of human assembly actions, is proposed. We tried to maximize the symmetry between the prediction results and the actual action while meeting the real-time requirement. With concise and efficient structural design, FST-Trans can learn about the spatial–temporal interactions of human joints during assembly in the same latent space and capture more complex motion dynamics. Considering the inconsistent assembly rates of different individuals, the network is forced to learn more motion variations by introducing velocity–acceleration loss, realizing accurate prediction of assembly actions. An assembly dataset was collected and constructed for detailed comparative experiments and ablation studies, and the experimental results demonstrate the effectiveness of the proposed method.

Mapping the dynamics of visual feature coding: Insights into perception and integration.

The basic computations performed in the human early visual cortex are the foundation for visual perception. While we know a lot about these computations, a key missing piece is how the coding of visual features relates to our perception of the environment. To investigate visual feature coding, interactions, and their relationship to human perception, we investigated neural responses and perceptual similarity judgements to a large set of visual stimuli that varied parametrically along four feature dimensions. We measured neural responses using electroencephalography (N = 16) to 256 grating stimuli that varied in orientation, spatial frequency, contrast, and colour. We then mapped the response profiles of the neural coding of each visual feature and their interactions, and related these to independently obtained behavioural judgements of stimulus similarity. The results confirmed fundamental principles of feature coding in the visual system, such that all four features were processed simultaneously but differed in their dynamics, and there was distinctive conjunction coding for different combinations of features in the neural responses. Importantly, modelling of the behaviour revealed that every stimulus feature contributed to perceptual judgements, despite the untargeted nature of the behavioural task. Further, the relationship between neural coding and behaviour was evident from initial processing stages, signifying that the fundamental features, not just their interactions, contribute to perception. This study highlights the importance of understanding how feature coding progresses through the visual hierarchy and the relationship between different stages of processing and perception.

Distinct patterns ofneural response to faces from different races inhumans anddeep networks.

Social categories such as the race or ethnicity of an individual are typically conveyed by the visual appearance of the face. The aim of this study was to explore how these differences in facial appearance are represented in human and artificial neural networks. First, we compared the similarity of faces from different races using a neural network trained to discriminate identity. We found that the differences between races were most evident in the fully connected layers of the network. Although these layers were also able to predict behavioural judgements of face identity from human participants, performance was biased toward White faces. Next, we measured the neural response in face-selective regions of the human brain to faces from different races in Asian and White participants. We found distinct patterns of response to faces from different races in face-selective regions. We also found that the spatial pattern of response was more consistent across participants for own-race compared to other-race faces. Together, these findings show that faces from different races elicit different patterns of response in human and artificial neural networks. These differences may underlie the ability to make categorical judgements and explain the behavioural advantage for the recognition of own-race faces.

‘Please don’t insult Dog. He is a loyal friend!’ The use of animal metaphors for evaluation and positioning on a Chinese Political Web Forum

This study focuses on how animal metaphors are deployed by Chinese social media users to evaluate others and negotiate social positioning in online grassroots political discourse. Animal metaphors are important devices for expressing judgement of human behaviour. This is due, first, to perceived similarities and differences between humans and (other) animals and, second, due to the ‘Great Chain’ idea of human superiority and dominance over animals. Animal metaphors are commonly deployed in communication that is interpersonally volatile, such as on social media, regardless of what language this occurs in. Through an analysis of the interpersonal systems of appraisal and involvement, we found that contributors often adopt highly charged animal metaphors to negatively evaluate each other and to create and maintain a left-right political division.

Economic inequality reduces sense of control and increases the acceptability of self-interested unethical behavior.

Societies worldwide are witnessing higher levels of economic inequality. While prior work has examined ethical judgments toward inequality itself (e.g., "is inequality unethical?"), less is known about how inequality shapes judgments of unethical behavior (e.g., "is unethical behavior more acceptable?"). In two correlational studies, we find that higher objective (Study 1; n = 127,953) and subjective (Study 2; n = 806) inequality is associated with greater acceptability of self-interested unethical behavior. In Studies 3a-6b (total N = 4,851; preregistered), we manipulated perceived inequality and test several mediating pathways. Results point toward the importance of sense of control as a mechanism: Under conditions of high inequality, individuals report a lower sense of control, which increases the acceptability of self-interested unethical behaviors. As a supplement, we also explore associations regarding why high inequality reduces sense of control (reduced perceptions of social mobility) and why sense of control is associated with greater acceptability of unethical behavior (greater situational attributions). Overall, our results suggest inequality changes ethical standards by reducing one's sense of control, providing evidence for another pathway through which inequality harms societies. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Status Ibu Bekerja dan Teman Sebaya terhadap Perkembangan Moral Anak

Introduction: The transformation of judgments of behavior, feelings, and reasoning into either right or wrong is referred to as moral development. There are three forms of moral classification, namely Preconventional, Conventional, and Postconventional. Objective: The research aims to analyze the moral development of children influenced by peer relationships and the mother's employment status. Method: The research adopts a cross-sectional approach in a quantitative research design. The population involved in the study consists of students in grades 5 and 6, with a sample size of 80 students. The sampling method used is total sampling. Data collection is done through a questionnaire, and data analysis employs the chi-square test. Results: Based on calculations using the chi-square method, the p-value for the variable of the mother's employment status is 0.024, while the p-value for the peer relationship variable is 0.514. Conclusion: The moral development of children is not influenced by peer relationships and the mother's employment status.

Above the law? How motivated moral reasoning shapes evaluations of high performer unethicality.

Recent revelations have brought to light the misconduct of high performers across various fields and occupations who were promoted up the organizational ladder rather than punished for their unethical behavior. Drawing on principles of motivated moral reasoning, we investigate how employee performance biases supervisors' moral judgment of employee unethical behavior and how supervisors' performance-focus shapes how they account for moral judgments in promotion recommendations. We test our model in three studies: a field study of 587 employees and their 124 supervisors at a Fortune 500 telecom company, an experiment with two samples of working adults, and an experiment that directly varied explanatory mechanisms. Evidence revealed a moral double standard such that supervisors rendered less punitive judgment of the unethical acts of higher performing employees. In turn, supervisors' bottom-line mentality (i.e., fixation on achieving results) influenced the degree to which they incorporated their punitive judgments into promotability considerations. By revealing the moral leniency afforded to higher performers and the uneven consequences meted out by supervisors, our results carry implications for behavioral ethics research and for organizations seeking to retain and promote their higher performers while also maintaining ethical standards that are applied fairly across employees. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Affective and Motivational Accounts of Moralizing COVID-19-Preventive Behaviors

Abstract The purpose of this study was to investigate the role of perceived vulnerability to disease, emotions (disgust, anger), and perceived norms in predicting moral judgments of anti-COVID-19-preventive behaviors in US and Japan. A total of 442 Japanese and 365 American participants completed an online survey. Disgust and anger mediated the link between perceived vulnerability to disease (germ aversion) and moral judgments of preventive behaviors across both cultures. Perceived social norms among friends and family were associated with harsh judgments of anti-preventive behaviors for Japanese but not for American participants. Overall, our results suggest that effective strategies for promoting preventive behaviors may be culturally valid if they focus on the fear for infectious disease and related aversive affect. We also discussed the possibility that some strategies could be characteristic of collectivistic cultures, warranting further cross-cultural comparisons.