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Brain Sciences Oct 2020The aim was to investigate behavioral reactions and event-related potential (ERP) responses in healthy participants under conditions of personalized attribution of...
The aim was to investigate behavioral reactions and event-related potential (ERP) responses in healthy participants under conditions of personalized attribution of emotional appraisal vocabulary to one-self or to other people. One hundred and fifty emotionally neutral, positive and negative words describing people's traits were used. Subjects were asked to attribute each word to four types of people: one-self, loved, unpleasant and neutral person. The reaction time during adjectives attribution to one-self and a loved person was shorter than during adjectives attribution to neutral and unpleasant people. Self-related adjectives induced higher amplitudes of the N400 ERP peak in the medial cortical areas in comparison with adjectives related to other people. The amplitude of P300 and P600 depended on the emotional valence of assessments, but not on the personalized attribution. The interaction between the attribution effect and the effect of emotional valence of assessments was observed for the N400 peak in the left temporal area. The maximal amplitude of N400 was revealed under self-attributing of emotionally positive adjectives. Our results supported the hypothesis that the emotional valence of assessments and the processing of information about one-self or others were related to the brain processes that differ from each other in a cortical localization or time dynamics.
PubMed: 33120879
DOI: 10.3390/brainsci10110782 -
International Journal of Behavioral... Jun 2021Illness beliefs are significant contributors to health outcomes. Beliefs about the cause of physical symptoms are considered particularly important among those with...
BACKGROUND
Illness beliefs are significant contributors to health outcomes. Beliefs about the cause of physical symptoms are considered particularly important among those with medically unexplained symptoms and illnesses (MUS); yet little is known about causal beliefs among those with the most severe MUS (i.e., Veterans). The goal of the current study was to examine Veteran's causal attributions of their physical symptoms.
METHOD
A total of 91 combat Veterans with MUS were surveyed using a mixed-methods design about the cause of their physical symptoms, physical symptom severity, and PTSD symptoms. Causal attributions of physical symptoms were analyzed through thematic response analysis and grouped into categories. Chi-square analysis was used to assess the distribution of causal attribution types across Veterans with varying physical symptom severity and PTSD symptom severity.
RESULTS
Veterans with MUS reported an average of 7.9 physical symptoms, and attributed the cause of their symptoms to seven different categories ("Do not Know," "Stress/Mental Health," "Deployment/Environment," "Functional/Symptom," "Medically Explained," "Medically Unexplained Syndrome," and "Lifestyle"). Exploratory chi-square analysis revealed significant differences in causal attributions across physical symptom severity and severity of PTSD symptoms. Veterans with more severe PTSD and Veterans with more severe physical symptoms were more likely to attribute their MUS to stress/mental health or to a medically unexplained syndrome compared with those with low/no PTSD symptoms and physical symptom severity. Veterans with minimal PTSD and Veterans with minimal physical symptom severity were more likely to attribute the cause of their MUS to lifestyle choices (e.g., exercise/diet) compared with those with high PTSD and physical symptom severity.
CONCLUSION
Veterans with MUS endorse multiple, varied causal attributions for their physical symptoms, suggesting more complex causal beliefs than typically assumed. This has important implications for patient-provider communication and development of concordance around MUS treatment.
PubMed: 32691396
DOI: 10.1007/s12529-020-09918-0 -
Journal of Abnormal Psychology Feb 2021Paranoia is the exaggerated belief that harm will occur and is intended by others. Although commonly framed in terms of attributing malicious intent to others, recent...
Paranoia is the exaggerated belief that harm will occur and is intended by others. Although commonly framed in terms of attributing malicious intent to others, recent work has explored how paranoia also affects social decision-making, using economic games. Previous work found that paranoia is associated with decreased cooperation and increased punishment in the Dictator Game (where cooperating and punishing involve paying a cost to respectively increase or decrease a partner's income). These findings suggest that paranoia might be associated with variation in subjective reward from positive and/or negative social decision-making, a possibility we explore using a preregistered experiment with U.S.-based participants (n = 2,004). Paranoia was associated with increased self-reported enjoyment of negative social interactions and decreased self-reported enjoyment of prosocial interactions. More paranoid participants attributed stronger harmful intent to a partner. Harmful intent attributions and the enjoyment of negative social interactions positively predicted the tendency to pay to punish the partner. Cooperation was positively associated with the tendency to enjoy prosocial interactions and increased with participant age. There was no main effect of paranoia on tendency to cooperate in this setting. We discuss these findings in light of previous research. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
Topics: Adolescent; Adult; Aged; Aged, 80 and over; Female; Humans; Intention; Male; Middle Aged; Paranoid Disorders; Punishment; Reward; Social Interaction; Social Perception; United States; Young Adult
PubMed: 33271038
DOI: 10.1037/abn0000647 -
PloS One 2023Double-blind peer review is considered a pillar of academic research because it is perceived to ensure a fair, unbiased, and fact-centered scientific discussion. Yet,...
Double-blind peer review is considered a pillar of academic research because it is perceived to ensure a fair, unbiased, and fact-centered scientific discussion. Yet, experienced researchers can often correctly guess from which research group an anonymous submission originates, biasing the peer-review process. In this work, we present a transformer-based, neural-network architecture that only uses the text content and the author names in the bibliography to attribute an anonymous manuscript to an author. To train and evaluate our method, we created the largest authorship-identification dataset to date. It leverages all research papers publicly available on arXiv amounting to over 2 million manuscripts. In arXiv-subsets with up to 2,000 different authors, our method achieves an unprecedented authorship attribution accuracy, where up to 73% of papers are attributed correctly. We present a scaling analysis to highlight the applicability of the proposed method to even larger datasets when sufficient compute capabilities are more widely available to the academic community. Furthermore, we analyze the attribution accuracy in settings where the goal is to identify all authors of an anonymous manuscript. Thanks to our method, we are not only able to predict the author of an anonymous work but we also provide empirical evidence of the key aspects that make a paper attributable. We have open-sourced the necessary tools to reproduce our experiments.
Topics: Authorship; Deep Learning; Double-Blind Method; Electric Power Supplies; Neural Networks, Computer
PubMed: 37390072
DOI: 10.1371/journal.pone.0287611 -
Archives of Sexual Behavior May 2022The present study aimed to replicate Kessler and McKenna's (1978) ethnomethodological study that investigated how an individual attributes gender to a person. By...
The present study aimed to replicate Kessler and McKenna's (1978) ethnomethodological study that investigated how an individual attributes gender to a person. By administering figures depicted on overlays (Overlay Study), Kessler and McKenna found that the penis more than the vulva and the male sexual characteristics more than the female ones were significantly more salient in the gender attribution process. From all this, their adage is: "See someone as female only when you cannot see them as male." Taking as a model Kessler and McKenna's Overlay Study, we administered to 592 adults 120 new digital stimuli elaborated on realistic frontal images of human nudes to verify if the previously obtained results would be confirmed by using more realistic images. We found that the participants attributed male gender 86% of the time when the penis was shown, but only attributed female gender 67% of the time when the vulva was shown. All findings had strong statistical significance, confirming the findings of the Overlay Study that the penis makes the difference in gender recognition. Beyond an ethnomethodological approach, we have interpreted and discussed our results from the outlook of evolutionary and cognitive psychology and cognitive neuroscience, concluding that the cultural stereotypes and prejudices that affect gender attribution might not just be a mere cultural product, but rather the consequence of evolved cognitive biases.
Topics: Adult; Female; Gender Identity; Humans; Male; Penis; Prejudice; Sexual Behavior; Social Perception
PubMed: 34779980
DOI: 10.1007/s10508-021-02152-z -
Annals of the New York Academy of... May 2018Understanding the mechanisms and consequences of attributing socialness to artificial agents has important implications for how we can use technology to lead more... (Review)
Review
Understanding the mechanisms and consequences of attributing socialness to artificial agents has important implications for how we can use technology to lead more productive and fulfilling lives. Here, we integrate recent findings on the factors that shape behavioral and brain mechanisms that support social interactions between humans and artificial agents. We review how visual features of an agent, as well as knowledge factors within the human observer, shape attributions across dimensions of socialness. We explore how anthropomorphism and dehumanization further influence how we perceive and interact with artificial agents. Based on these findings, we argue that the cognitive reconstruction within the human observer is likely to be far more crucial in shaping our interactions with artificial agents than previously thought, while the artificial agent's visual features are possibly of lesser importance. We combine these findings to provide an integrative theoretical account based on the "like me" hypothesis, and discuss the key role played by the Theory-of-Mind network, especially the temporal parietal junction, in the shift from mechanistic to social attributions. We conclude by highlighting outstanding questions on the impact of long-term interactions with artificial agents on the behavioral and brain mechanisms of attributing socialness to these agents.
PubMed: 29749634
DOI: 10.1111/nyas.13727 -
Frontiers in Psychology 2023This study explores the attributions and coping strategies of athletes who experienced psychological impact from sport injuries or illness from a qualitative methodology.
INTRODUCTION
This study explores the attributions and coping strategies of athletes who experienced psychological impact from sport injuries or illness from a qualitative methodology.
PURPOSE
To understand athletes' unique perspectives on injury and recovery, framed in the Global Model of Sport Injuries, and contribute to the development of effective interventions and support programs for athletes.
METHODS
A qualitative research approach was employed, conducting semi-structured interviews with an sample of 16 athletes, representing diverse backgrounds and competitive levels. Interviews were transcribed and analyzed using NVivo software, identifying themes and codes related to attributions and coping strategies.
RESULTS
Athletes attributed their sport injury mostly to bad luck, routine deviations, and negative mental states, while coping strategies used included cognitive restructuring, emotional calming, seeking social support, mental withdrawal, and behavioral risk. Factors such as training deviations, social support, psychological responses, and injury diagnosis seems to have influenced the coping strategies employed.
CONCLUSIONS
Sport injuries and illnesses significantly impact athletes' careers and wellbeing. Support and effective communication from coaching staff and healthcare professionals were identified as crucial for athletes' wellbeing. These findings contribute to understanding the psychological processes and experiences involved in sport injury recovery and highlight key elements for prevention and intervention protocols. Future research should explore communication patterns in sports contexts and assess attributions and coping strategies at different stages of injury recovery.
PubMed: 37965668
DOI: 10.3389/fpsyg.2023.1287951 -
Child and Adolescent Psychiatry and... 2020Children who are frequently aggressive or lack empathy show various deficits in their social information processing. Several findings suggest that children with conduct...
BACKGROUND
Children who are frequently aggressive or lack empathy show various deficits in their social information processing. Several findings suggest that children with conduct problems (CP) show a tendency to interpret ambiguous situations as hostile (hostile attribution bias) and have difficulties to disengage from negative stimuli (attentional bias). The role that additional callous-unemotional traits (CU-traits) play in these biases is yet unclear. Investigating both attentional and attributional aspects of social information processing in children can help us to understand where anomalies in the processing pathway occur and whether the biases are associated with CP and CU-traits separately or in an interactive manner.
METHODS
We compared three groups of children: (a) 25 children with CP and low levels of CU-traits (b) 25 children with CP and elevated levels of CU-traits (c) 50 gender (68% male), age (8-17 years) and intelligence score-matched typically developing children, on a pictorial emotional stroop task and a hostile attribution bias task.
RESULTS
In contrast to our predictions, there were no significant group differences regarding attentional biases or hostile attribution biases. Boys with CP and high levels of CU-traits showed a significantly higher hostile attribution bias compared to girls with CP and high levels of CU-traits. The attention bias to angry stimuli significantly correlated with the hostile attribution bias. Compared to the control group the CP group with low levels of CU-traits showed a significantly stronger association between the attention bias to angry stimuli and the hostile attribution bias.
CONCLUSIONS
The current study provides evidence that boys with CP and high levels of CU-traits interpret ambiguous situations as more hostile than girls do. Our results further provide indications that the interaction of attentional and attributional biases in children with CP might contribute to their increased aggressive behavior.
PubMed: 32175005
DOI: 10.1186/s13034-020-00315-9 -
Pituitary Aug 2021The primary aim of the current study was to objectify a spectrum of persisting subjective psychological complaints in patients with hypopituitarism, at least six months...
OBJECTIVE
The primary aim of the current study was to objectify a spectrum of persisting subjective psychological complaints in patients with hypopituitarism, at least six months after normalizing of the hormonal disturbances. Also, gender differences on these outcomes were investigated. The secondary aim was to identify illness perceptions and causal attributions within this patient group.
METHODS
A total of 42 adult participants (60% females) with treated hypopituitarism once filled out a number of psychological questionnaires. The Profile of Mood States (POMS) and the Hospital Anxiety and Depression Scale (HADS) assessed mood and the Symptom Checklist-90 (SCL-90) and the Work and Social Adjustment Scale (WSAS) assessed well-being. Illness perceptions were identified using the Illness Perceptions Questionnaire-Brief Dutch Language Version (IPQ-B DLV) and causal attributions by using the Causal Attribution List (CAL). Patient outcomes were compared to reference values of healthy norm groups.
RESULTS
Participants scored significantly worse on the POMS depression, anger, fatigue and tension subscales, the SCL-90 psychoneuroticism, depression, inadequacy of thinking and acting and sleeping problems subscales and all subscales of the WSAS when compared to reference data. Women also scored worse on depression (HADS) and somatic symptoms (SCL-90). Compared to other illnesses, patients with hypopituitarism have more negative and realistic illness perceptions on consequences, timeline, identity and emotions. Participants attributed their complaints more to physical causes than psychological causes.
CONCLUSION
Despite normalization of hormonal disturbances, patients with hypopituitarism in general can still experience problems during daily living, such as negative mood states and a decreased psychological well-being.
Topics: Adaptation, Psychological; Affect; Depression; Female; Humans; Hypopituitarism; Male; Perception; Surveys and Questionnaires
PubMed: 33606176
DOI: 10.1007/s11102-021-01131-w -
Indian Journal of Psychological Medicine May 2022The COVID-19 pandemic and its associated psychological distress led people to engage in attributing several health-related behaviors and consequences at the community...
BACKGROUND
The COVID-19 pandemic and its associated psychological distress led people to engage in attributing several health-related behaviors and consequences at the community and international levels. A scoping review was conducted to explore the existing literature on the use of attribution theory in understanding the psychological phenomena underlying health-related behavior and consequences during the pandemic.
METHODS
We conducted the literature review using Arksey and O'Malley's methodological framework for scoping review. Studies were identified through a comprehensive search of the following six databases: MEDLINE through PubMed, ProQuest, JSTOR, Scopus, ScienceDirect, and Google Scholar. All databases were searched for entries in English from September 2019 to September 2021 to correspond to the advent of the pandemic.
RESULTS
Several elements influence attributions and the influences of the attributions on people's responses to information and the consequences of attributions in influencing people's responses to information and behavior changes in the context of the COVID-19 pandemic. The importance of attribution errors leading to stigmatization and responsibility framing, both crucial for implementing pandemic control measures and enhancing psychological well-being, were also highlighted.
CONCLUSION
More research is needed in this field to inform people-centered policies and pandemic preparedness plans to mitigate the potentially devastating psychosocial consequence of the pandemic or other public health emergencies.
PubMed: 35656422
DOI: 10.1177/02537176221091675