The dynamic architecture of emotion: Evidence for the component process model

Cognition & Emotion, Journal Year: 2009, Volume and Issue: 23(7), P. 1307 - 1351

Published: Sept. 29, 2009

Emotion is conceptualised as an emergent, dynamic process based on individual's subjective appraisal of significant events. It argued that theoretical models emotion need to propose architecture reflects the essential nature and functions a psychobiological cultural adaptation mechanism. One proposal for such model its underlying architecture, component model, briefly sketched compared with some major competitors. Recent empirical evidence in support reviewed. Special emphasis given aspect processes, particular sequence checks synchronisation response systems, well capacity predict individual differences emotional responding.

Language: Английский

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Social rejection shares somatosensory representations with physical pain

Proceedings of the National Academy of Sciences, Journal Year: 2011, Volume and Issue: 108(15), P. 6270 - 6275

Published: March 28, 2011

How similar are the experiences of social rejection and physical pain? Extant research suggests that a network brain regions support affective but not sensory components pain underlie both experiences. Here we demonstrate when is powerfully elicited—by having people who recently experienced an unwanted break-up view photograph their ex-partner as they think about being rejected—areas (secondary somatosensory cortex; dorsal posterior insula) become active. We overlap between in these areas by comparing conditions same individuals using functional MRI. further specificity secondary cortex insula activity to activated locations our study with database over 500 published studies. Activation was highly diagnostic pain, positive predictive values up 88%. These results give new meaning idea “hurts.” They only distressing—they share common representation well.

Language: Английский

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Personality in Non‐human Animals

Social and Personality Psychology Compass, Journal Year: 2008, Volume and Issue: 2(2), P. 985 - 1001

Published: Feb. 21, 2008

Abstract Over the past decade, research on animal personality has flourished in numerous disciplines ranging from Behavioral Ecology and Developmental Psychobiology to Genetics Comparative Psychology. The broad appeal of studies is that, comparison with human studies, they afford greater experimental control, more options for measuring physiological genetic parameters, opportunities naturalistic observation, an accelerated life course. Past established that (a) exists can be measured animals; (b) identified a array species, squid, crickets, lizards, trout, geese, orangutans; (c) shows considerable cross‐species generality some dimensions. wave new shedding fresh light traditional issues (How do early experiences affect adult personality?), raising novel questions (What are evolutionary origins traits?) addressing practical problems (Which dogs best suited detecting explosives?).

Language: Английский

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Affiliation, Acceptance, and Belonging: The Pursuit of Interpersonal Connection

Published: June 30, 2010

24.1 Affiliation 24.2 Seeking Acceptance and Belonging 24.3 Monitoring Relational Value Social Connections 24.4 Varieties of Rejection-Related Events 24.5 Reactions to Rejection 24.6 Dealing With Threats Affiliation, Acceptance, 24.7 Long-Term Consequences 24.8 Summary

Language: Английский

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The Concept of Situations

Social and Personality Psychology Compass, Journal Year: 2009, Volume and Issue: 3(6), P. 1018 - 1037

Published: Nov. 27, 2009

Abstract The concept of situations has a long past, but the conceptualization only short history. This article provides survey situations. Based upon Milgram’s [ Human Relations 18 (1965) , 57] vision toward ‘a compelling theory situations,’ authors examine in three specific literatures: definitions situations, taxonomies and interrelationships among persons, behaviors. To further integrate literature, propose that essence situation is its affordance human goals, are largely characterized by two principles goal processes (what happened, happening, or might happen to people’s goals) contents (the goals afforded situation).

Language: Английский

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Capturing interactions, correlations, fits, and transactions: A Person-Environment Relations Model

Elsevier eBooks, Journal Year: 2021, Volume and Issue: unknown, P. 427 - 522

Published: Jan. 1, 2021

Language: Английский

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Big Five traits, approach-avoidance motivation, concerns and adherence with COVID-19 prevention guidelines during the peak of pandemic in Croatia

Personality and Individual Differences, Journal Year: 2021, Volume and Issue: 179, P. 110913 - 110913

Published: April 8, 2021

Language: Английский

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Close or distant? The impacts of robot services and spatial distance on service satisfaction

Journal of Hospitality and Tourism Management, Journal Year: 2023, Volume and Issue: 54, P. 447 - 456

Published: Feb. 17, 2023

Language: Английский

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An Open-Source Benchmark of Deep Learning Models for Audio-Visual Apparent and Self-Reported Personality Recognition

IEEE Transactions on Affective Computing, Journal Year: 2024, Volume and Issue: 15(3), P. 1590 - 1607

Published: Feb. 8, 2024

Personality determines a wide variety of human daily and working behaviours, is crucial for understanding internal external states. In recent years, large number automatic personality computing approaches have been developed to predict either the apparent or self-reported subject based on non-verbal audio-visual behaviours. However, majority them suffer from complex dataset-specific pre-processing steps model training tricks. absence standardized benchmark with consistent experimental settings, it not only impossible fairly compare real performances these models but also makes difficult be reproduced. this paper, we present first reproducible benchmarking framework provide fair evaluation eight existing (e.g., audio, visual audio-visual) seven standard deep learning both recognition tasks. Building upon set benchmarked models, investigate impact two previously-used long-term modelling strategies summarising short-term/frame-level predictions results. We conduct comprehensive investigation into all demonstrate their capabilities in traits publicly available datasets, (ChaLearn First Impression) (UDIVA) datasets. The results conclude: (i) traits, inferred facial behaviours by most show more reliability than ones; (ii) frequently achieved superior audio recognition; (iii) contribute differently predicting different traits; (iv) our reproduced generally worse original reported make code settings at https://github.com/liaorongfan/DeepPersonality .

Language: Английский

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Predicting Mood Based on the Social Context Measured Through the Experience Sampling Method, Digital Phenotyping, and Social Networks

Administration and Policy in Mental Health and Mental Health Services Research, Journal Year: 2024, Volume and Issue: 51(4), P. 455 - 475

Published: Jan. 10, 2024

Abstract Social interactions are essential for well-being. Therefore, researchers increasingly attempt to capture an individual's social context predict well-being, including mood. Different tools used measure various aspects of the context. Digital phenotyping is a commonly technology assess person's behavior objectively. The experience sampling method (ESM) can subjective perception specific interactions. Lastly, egocentric networks often relationship characteristics. These different methods over time scales that related and combining them may be necessary improve prediction Yet, they have rarely been combined in previous research. To address this gap, our study investigates predictive accuracy mood based on We collected intensive within-person data from multiple passive self-report sources 28–day period student sample (Participants: N = 11, ESM measures: 1313). trained individualized random forest machine learning models, using predictors included each model summarized scales. Our findings revealed even when methods, remained low. average coefficient determination all participants was 0.06 positive negative affect ranged − 0.08 0.3, indicating large amount variance across people. Furthermore, optimal set varied participants; however, predicting generally yielded best predictions. While improved most participants, highlights need further work larger more diverse samples enhance clinical utility these modeling approaches.

Language: Английский

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