Trait Attributions Research Articles

Growth mindset results in reduced trait attribution and more rehabilitative judicial decisions in cases of juvenile delinquency

AbstractBackgroundWith the framework of the mindset theory and previous findings in adult criminal justice, this research explores how growth mindset—the belief that personal traits are malleable—affects judicial decision‐making in juvenile justice.AimsWe aim to examine the hypotheses that laypeople with growth mindset tend to endorse more rehabilitative motivations and decisions (H1) through reduced trait attribution (H2).Materials and MethodsWe measured (Study 1) and experimentally manipulated (Study 2) growth mindset to test H1 and H2 with samples of laypeople. Studies 3A and 3B used data from professional judges and prosecutors in China to test the generalizability. Study 4 replicated the measures from Studies 3A and 3B with a laypeople sample to facilitate cross‐sample comparisons.ResultsStudies 1 and 2 provide correlational and causal evidence, respectively, supporting both H1 and H2. However, Studies 3A and 3B did not yield significant results among judicial experts. Study 4 re‐confirmed the hypotheses in lay participants. Judges with juvenile case experience showed a weaker association between growth mindset and probation decisions compared to their less specialized peers and laypeople. A similar pattern emerged among prosecutors, though the findings were not statistically significant.DiscussionThe current research highlights growth mindset as a key belief driving public support for rehabilitative approaches in juvenile justice. Specialized judicial expertise appears to mitigate this association, suggesting a nuanced interaction between lay beliefs and judicial specialization.ConclusionGrowth mindset of laypeople results in their reduced trait attribution and more rehabilitative judicial decisions in cases of juvenile delinquency.

“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.

Nonbinary Voices for Digital Assistants—An Investigation of User Perceptions and Gender Stereotypes

Due to the wide adoption of digital voice assistants (DVAs), interactions with technology have also changed our perceptions, highlighting and reinforcing (mostly) negative gender stereotypes. Regarding the ongoing advancements in the field of human–machine interaction, a developed and improved understanding of and awareness of the reciprocity of gender and DVA technology use is thus crucial. Our work in this field expands prior research by including a nonbinary voice option as a means to eschew gender stereotypes. We used a between-subject quasi-experimental questionnaire study (female voice vs. male voice vs. nonbinary voice), in which n=318 participants provided feedback on gender stereotypes connected to voice perceptions and personality traits. Our findings show that the overall gender perception of our nonbinary voice leaned towards male on the gender spectrum, whereas the female-gendered and male-gendered voices were clearly identified as such. Furthermore, we found that feminine attributes were clearly tied to our female-gendered voice, whereas the connection of masculine attributes to the male voice was less pronounced. Most notably, however, we did not find gender-stereotypical trait attributions with our nonbinary voice. Results also show that the likability of our female-gendered and nonbinary voices was lower than it was with our male-gendered voice, and that, particularly with the nonbinary voice, this likability was affected by people’s personality traits. Thus, overall, our findings contribute (1) additional theoretical grounding for gender-studies in human–machine interaction, and (2) insights concerning peoples’ perceptions of nonbinary voices, providing additional guidance for researchers, technology designers, and DVA providers.

Attribution of undesirable character traits, rather than trait-based dehumanization, predicts punishment decisions.

Previous work has reported that the extent to which participants dehumanized criminals by denying them uniquely human character traits such as refinement, rationality and morality predicted the severity of the punishment endorsed for them. We revisit this influential finding across six highly powered and pre-registered studies. First, we conceptually replicate the effect reported in previous work, demonstrating that our method is sensitive to detecting relationships between trait-based dehumanization and punishment should they occur. We then investigate whether the apparent relationship between trait-based dehumanization and punishment is driven by the desirability of the traits incorporated into the stimulus set, their perceived humanness, or both. To do this, we asked participants to rate the extent to which criminals possessed uniquely human traits that were either socially desirable (e.g. cultured and civilized) or socially undesirable (e.g. arrogant and bitter). Correlational and experimental evidence converge on the conclusion that apparent evidence for the relationship between trait-based dehumanization and punishment is better explained by the extent to which participants attribute socially desirable attributes to criminals rather than the extent to which they attribute uniquely human attributes. These studies cast doubt on the hypothesized causal relationship between trait-based dehumanization and harm, at least in this context.

Authorial approach to the detection of selected psychological traits based on handwritten texts

The study sought to use computer techniques to detect selected psychological traits based on the nature of the writing and to evaluate the effectiveness of the resulting software. Digital image processing and deep neural networks were used. The work is complex and multidimensional in nature, and the authors wanted to demonstrate the feasibility of such a topic using image processing techniques and neural networks and machine learning. The main studies that allowed the attribution of psychological traits were based on two models known from the literature, KAMR and DA. The evaluation algorithms that were implemented allowed the evaluation of the subjects and the assignment of psychological traits to them. The DA model turned out to be more effective than the KAMR model.

Framing Morals: A Study of Moral Values in Netflix Teen Movie Finding Ohana (2021)

In an era when Netflix is the go-to source of entertainment, many families are particular about choosing the best entertainment for them, especially for their children, that serves both entertainment and educational purposes. Movies are frequently infused with moral messages. Movies also depict and suspect morally virtuous behavior through their exploration of overarching themes, the attribution of specific traits to heroic and villainous characters, and the resolution of pivotal moral dilemmas. This study utilizes a descriptive qualitative approach of moral values found in the attribution of theme and characterization of Netflix’s teen movie Finding ‘Ohana (2021) We argue the attribution of themes and dynamic characterization of the main characters in Finding ‘Ohana (2021) that serves as a learning opportunity for young viewers to discover moral values lessons. As a result, the portrayal of moral values in Finding ‘Ohana includes truthfulness, respect, tolerance and cooperation, hard work and functionalism, respect for human life and dignity of persons, and value of the present. We propose that utilizing movies as tools for moral education, treating them as case studies of moral dilemmas, and stimulating imaginative thinking about ethical situations through open and egalitarian discussions between adults and teenagers could enhance the effectiveness of moral education for teenagers.
 Keywords: moral values, film, finding ‘Ohana, identity, children and YA literatures

The cognitive underpinnings and early development of children's selective trust.

Young children learn selectively from reliable over unreliable sources. However, the cognitive underpinnings of their selectivity (attentional biases or trait ascriptions) and its early ontogeny are unclear. Thus, across three studies (N = 139, monolingual German speakers, 67 female), selective-trust tasks were adapted to test both preschoolers (5-year-olds) and toddlers (24-month-olds), using eye-tracking and interactive measures. These data show that preschoolers' selectivity is not based on attentional biases, but on person-specific trait ascriptions. In contrast, toddlers showed no selective trust, even in the eye-tracking tasks. They succeeded, however, in eye-tracking tasks with the same word-learning demands, if no ascriptions of reliability were required. Thus, these findings suggest that preschoolers, but not toddlers, use trait-like ascriptions of reliability to guide their selective learning.

A New Family Member or Just Another Digital Interface? Smart Speakers in the Lives of Families with Young Children

Based on longitudinal qualitative research involving twenty families with at least one child aged eight or younger, the article provides an account of how families, as distinctive communicative figurations, adopt, use and make sense of smart speakers through diverse socially situated practices. Findings show that parents and children enter in a communicative relationship with smart speakers based on their attribution of human-like or machine-like traits to the device, and the device response to their expectations. Moreover, engaging in communicative practices through and with smart speakers, family members subvert or reinforce existing power relations. However, smart speakers acquire new agency by intensifying the datafication and algorithmification of everyday life, thus entailing a shift in power dynamics between humans and machines.

Unconstraining Evaluative Conditioning Research by Using the Reverse Correlation Task

In the evaluative conditioning effect, pairing neutral stimuli (conditioned stimuli) with valenced stimuli (unconditioned stimuli) changes the evaluation of the former. We examined this effect with a reverse correlation task that assesses how participants visually remember the conditioned stimuli. Importantly, this measure (1) does not require participants to evaluate stimuli and (2) allows them to capture multiple trait attributions. In a pre-registered experiment with US Prolific Academic users, we observed an evaluative conditioning effect in both an evaluation task and a reverse correlation task. Moreover, the effect in the reverse correlation task went beyond mere changes in valence. Our work opens new empirical and theoretical challenges for future conditioning research.

Are upside-down faces perceived as "less human"?

According to perceptual dehumanization theory (PDT), faces are only perceived as "truly human" when processed in a configural fashion. Consistent with this theory, previous research indicates that when faces are inverted, a manipulation hypothesized to disrupt configural processing, the individuals depicted are attributed fewer uniquely human qualities. In a seminal paper, Hugenberg et al. (2016) reported that faces appeared less creative, less thoughtful, less empathetic, and possessed less "humanness" when inverted. Across four highly powered and preregistered experiments, we demonstrate that inversion does not influence the attribution of uniquely human traits specifically. Rather, in line with research on face processing, inversion impedes face encoding more generally, causing trait attributions to tend toward the mean. Positively valanced faces (i.e., those judged to be trustworthy when presented upright) are perceived to be less creative, considerate, thoughtful, and empathetic when inverted. Conversely, negatively valanced faces (i.e., those judged to be untrustworthy when presented upright) are judged to be more creative, considerate, thoughtful, and empathetic when inverted. Furthermore, we show that the effect of inversion on judgments of "humanness" reflects a general phenomenon that can be replicated with other (nonface) stimulus categories that also possess a canonical orientation. These findings suggest that a key line of evidence for PDT is considerably less convincing than it first appears. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Who helps best? Children’s evaluation of knowledgeable versus wealthy individuals in negative event contexts

Children favor knowledgeable people in information-seeking contexts, but is this preference maintained when other resources are available to resolve problems? This study addressed whether children relied on knowledge or wealth to decide who is qualified to help someone in need. Sixty-four 5- to 8-year-olds heard stories in which two bystanders (i.e., knowledgeable versus wealthy) witnessed a negative event. Children judged which bystander should assist a victim and which should supervise the situation. Children evaluated each bystander’s strategies and duty to help. Across ages, children indicated that the knowledgeable bystander should provide aid, supervise, and help more than the wealthy bystander, but made positive trait attributions about both bystanders. Children referenced how knowledge could produce solutions and with age, were better able to make knowledge- rather than wealth-related predictions about helpful behavior. These findings shed light on children’s understanding of wealth and draw connections between children’s reasoning about knowledge, wealth, and morality.

Does God Comfort You When You Are Sad? Religious Diversity in Children’s Attribution of Positive and Negative Traits to God

Children actively construct their understanding of God in early childhood, an understanding that incorporates affect-laden mental representations often referred to as God images. To explore religious variations in children’s association of positive and negative traits to God, 254 preschool-aged children from Protestant Christian, Catholic, Muslim, and Non-Affiliated religious backgrounds indicated their certainty that God scares them, punishes them, is angry at them, loves them, comforts them, and helps people. Parents indicated the frequency of children’s religious engagement. Older children were more certain than younger children that God did not scare or punish them and that God loved and comforted them, and helped people. Moreover, religious affiliation differences emerged in children’s attribution of both positively and negatively valenced properties to God, and more frequent religious engagement was related to a higher degree of certainty that God loves, comforts, helps, and becomes angry, but was unrelated to the certainty that God scares or punishes. The findings suggest that religious engagement plays an important role in children’s developing God image.

Attributing Human Traits to Other Species as Alignment Work

Against the backdrop of human-induced climate change and severe biodiversity loss, feminist technoscience scholars stress the need for movements towards less anthropocentric knowledge production processes. The present paper delves into the alignment work involved in striving to coordinate and align human-centred epistemic cultures and epistemic cultures centring other species. In an early childhood education site, children, teachers, materials, imagination and the attribution of human traits to snails are elaborated on as key actors. In a literary fiction site, also referred to as environmental imagination, texts, choices of literary style, scientific facts and the attribution of human traits to eels, are featured as actors accomplishing alignment work. The paper argues that adding the concept of the terrestrial to the analysis of the alignment work, as proposed by feminist technoscience scholar Donna Haraway, makes other aspects and versions of non-anthropocentric or less anthropocentric knowledge production processes visible. The paper adds to STS-discussions on alignment work through highlighting alignment work processes as political, power-producing processes, which privilege certain interests while downplaying others.

Self-Polarization: Lionizing Those Who Agree and Demonizing Those Who Disagree

Numerous recent texts have explained societal polarization, emphasizing biased input through increased accessibility of extreme partisan information. We examined instead the possible role of biased output through biased attribution of personality traits to issue partisans. Two experiments tested the hypothesis that attributing personality traits to those who agree versus disagree with an attributor on controversial social issues might lead attributors to adopt more polarized impressions and behavioral intentions toward issue partisans, as well as to adopt more polarized attitudes toward the issue itself. These hypotheses were supported with two different social issues—abortion and kneeling during the national anthem. The results were interpreted as consistent with previous theory and research on both attributional bias and self-generated attitude polarization.

Impact of face masks on perceptions of black and white targets during the COVID‐19 pandemic

AbstractAlthough the use of face masks was widespread during the COVID‐19 pandemic, their impact on social perceptions is unclear. Notably, research that has investigated the influence of masks on personality attributions has focused on a small set of characteristics with a focus on predominantly White targets, and only few studies examining more diverse groups. Because the race of targets has been found to impact impression formation processes in significant ways, it is important to examine diverse racial targets along with a wider range of personality traits. The goal of the present research therefore was to explore how face masks impact a variety of trait attributions for both White and Black targets. Our results indicate that masking faces has positive implications (i.e., more trustworthy, warm, competent, and less threatening) for White but not Black targets. Notably, both White and Black targets with masks compared to without masks were perceived as more attractive, but the effect was smaller for Black targets. Because COVID‐19 continues to be a public health emergency of international concern, with infections and deaths occurring around the world and with mask mandates still being implemented in a variety of contexts, knowing how people differentially respond to targets of different races wearing masks remains relevant and important.

Trait anger and negative interpretation bias in neutral face perception.

Anger is a basic emotion helping people to achieve goals by preparing the body for action and prompting others to change their behavior but is also associated with health issues and risks. Trait anger, the disposition to experience angry feelings, goes along with an attribution of hostile traits to others. Negative distortions in the interpretation of social information have also been observed in anxiety and depression. The present study examined the associations between components of anger and negative interpretation tendencies in the perception of ambiguous and neutral schematic faces controlling for anxiety, depressed mood, and other variables. A sample of 150 young adults performed a computer-based perception of facial expressions task and completed the State-Trait Anger Expression Inventory (STAXI-2) along with other self-report measures and tests. Trait anger and anger expression correlated with the perception of negative affects in neutral but not in ambiguous faces. More specifically, trait anger was linked to the attribution of anger, sadness, and anxiety to neutral faces. Trait anger predicted perceived negative affects in neutral faces when adjusting for anxiety, depression, and state anger. For neutral schematic faces, the present data support an association between trait anger and negatively biased interpretation of facial expression, which is independent of anxiety and depressed mood. The negative interpretation of neutral schematic faces in trait angry individuals seems not only to comprise the attribution of anger but also of negative emotions signaling weakness. Neutral schematic facial expressions might be useful stimuli in the future study of anger-related interpretation biases.

An Active Externalism about Personality

People display recognizably characteristic behavioral patterns across time and situations, with a given degree of regularity. These patterns may justify the attribution of personality traits. It is arguably the commonsense view that the proper explanation of these behavioral regularities is given by intrinsic properties of the agent’s psychology. In this paper, I argue for an externalistic view of the causal basis of personality-characteristic behaviors. According to the externalistic view, the relevant behavioral regularities are better understood as the result of a systematic interaction between features internal to the agent and environmental-situational factors. Moreover, if the premise is granted that people are typically able to exercise a certain degree of control over the environmental-situational conditions they find themselves in, the resulting picture is of active sort of externalism, as people may at times engage in selection and manipulation of environmental-situational conditions as a way of managing their own behavioral tendencies.

Inferring Causal Factors of Core Affect Dynamics on Social Participation through the Lens of the Observer

A core endeavour in current affective computing and social signal processing research is the construction of datasets embedding suitable ground truths to foster machine learning methods. This practice brings up hitherto overlooked intricacies. In this paper, we consider causal factors potentially arising when human raters evaluate the affect fluctuations of subjects involved in dyadic interactions and subsequently categorise them in terms of social participation traits. To gauge such factors, we propose an emulator as a statistical approximation of the human rater, and we first discuss the motivations and the rationale behind the approach.The emulator is laid down in the next section as a phenomenological model where the core affect stochastic dynamics as perceived by the rater are captured through an Ornstein-Uhlenbeck process; its parameters are then exploited to infer potential causal effects in the attribution of social traits. Following that, by resorting to a publicly available dataset, the adequacy of the model is evaluated in terms of both human raters' emulation and machine learning predictive capabilities. We then present the results, which are followed by a general discussion concerning findings and their implications, together with advantages and potential applications of the approach.

Development and validation of the Attribution of Mental States Questionnaire (AMS-Q): A reference tool for assessing anthropomorphism.

Attributing mental states to others, such as feelings, beliefs, goals, desires, and attitudes, is an important interpersonal ability, necessary for adaptive relationships, which underlies the ability to mentalize. To evaluate the attribution of mental and sensory states, a new 23-item measure, the Attribution of Mental States Questionnaire (AMS-Q), has been developed. The present study aimed to investigate the dimensionality of the AMS-Q and its psychometric proprieties in two studies. Study 1 focused on the development of the questionnaire and its factorial structure in a sample of Italian adults (N = 378). Study 2 aimed to confirm the findings in a new sample (N = 271). Besides the AMS-Q, Study 2 included assessments of Theory of Mind (ToM), mentalization, and alexithymia. A Principal Components Analysis (PCA) and a Parallel Analysis (PA) of the data from Study 1 yielded three factors assessing mental states with positive or neutral valence (AMS-NP), mental states with negative valence (AMS-N), and sensory states (AMS-S). These showed satisfactory reliability indexes. AMS-Q's whole-scale internal consistency was excellent. Multigroup Confirmatory Factor Analysis (CFA) further confirmed the three-factor structure. The AMS-Q subscales also showed a consistent pattern of correlation with associated constructs in the theoretically predicted ways, relating positively to ToM and mentalization and negatively to alexithymia. Thus, the questionnaire is considered suitable to be easily administered and sensitive for assessing the attribution of mental and sensory states to humans. The AMS-Q can also be administered with stimuli of nonhuman agents (e.g., animals, inanimate things, and even God); this allows the level of mental anthropomorphization of other agents to be assessed using the human as a term of comparison, providing important hints in the perception of nonhuman entities as more or less mentalistic compared to human beings, and identifying what factors are required for the attribution of human mental traits to nonhuman agents, further helping to delineate the perception of others' minds.

Goodbye, Gender Stereotypes? Trait Attributions to Politicians in 11 Years of News Coverage

In this study, we examine gender differences in political news coverage to determine whether the media employ stereotypical traits in portrayals of 1,095 U.S. politicians. Using a sample of over 5 million U.S. news stories published from 2010 to 2020, we study the media’s attribution of gender-linked ( feminine, masculine) and political ( leadership, competence, integrity, empathy) traits to U.S. politicians and present new longitudinal evidence for political gender stereotyping in the news. Our findings show that certain gender differences are present in news coverage (e.g., physical traits), some of which have remained unchanged over the past decade (e.g., integrity traits).