Tom Giraud, Florian Focone, Virginie Demulier, Jean-Claude Martin, B. Isableu
{"title":"通过全身运动素质对情绪和个性的感知:一个体育教练的案例研究","authors":"Tom Giraud, Florian Focone, Virginie Demulier, Jean-Claude Martin, B. Isableu","doi":"10.1145/2791294","DOIUrl":null,"url":null,"abstract":"Virtual sport coaches guide users through their physical activity and provide motivational support. Users’ motivation can rapidly decay if the movements of the virtual coach are too stereotyped. Kinematic patterns generated while performing a predefined fitness movement can elicit and help to prolong users’ interaction and interest in training. Human body kinematics has been shown to convey various social attributes such as gender, identity, and acted emotions. To date, no study provides information regarding how spontaneous emotions and personality traits together are perceived from full-body movements. In this article, we study how people make reliable inferences regarding spontaneous emotional dimensions and personality traits of human coaches from kinematic patterns they produced when performing a fitness sequence. Movements were presented to participants via a virtual mannequin to isolate the influence of kinematics on perception. Kinematic patterns of biological movement were analyzed in terms of movement qualities according to the effort-shape [Dell 1977] notation proposed by Laban [1950]. Three studies were performed to provide an analysis of the process leading to perception: from coaches’ states and traits through bodily movements to observers’ social perception. Thirty-two participants (i.e., observers) were asked to rate the movements of the virtual mannequin in terms of conveyed emotion dimensions, personality traits (five-factor model of personality), and perceived movement qualities (effort-shape) from 56 fitness movement sequences. The results showed high reliability for most of the evaluated dimensions, confirming interobserver agreement from kinematics at zero acquaintance. A large expressive halo merging emotional (e.g., perceived intensity) and personality aspects (e.g., extraversion) was found, driven by perceived kinematic impulsivity and energy. Observers’ perceptions were partially accurate for emotion dimensions and were not accurate for personality traits. Together, these results contribute to both the understanding of dimensions of social perception through movement and the design of expressive virtual sport coaches.","PeriodicalId":50921,"journal":{"name":"ACM Transactions on Applied Perception","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2015-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Perception of Emotion and Personality through Full-Body Movement Qualities: A Sport Coach Case Study\",\"authors\":\"Tom Giraud, Florian Focone, Virginie Demulier, Jean-Claude Martin, B. Isableu\",\"doi\":\"10.1145/2791294\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Virtual sport coaches guide users through their physical activity and provide motivational support. Users’ motivation can rapidly decay if the movements of the virtual coach are too stereotyped. Kinematic patterns generated while performing a predefined fitness movement can elicit and help to prolong users’ interaction and interest in training. Human body kinematics has been shown to convey various social attributes such as gender, identity, and acted emotions. To date, no study provides information regarding how spontaneous emotions and personality traits together are perceived from full-body movements. In this article, we study how people make reliable inferences regarding spontaneous emotional dimensions and personality traits of human coaches from kinematic patterns they produced when performing a fitness sequence. Movements were presented to participants via a virtual mannequin to isolate the influence of kinematics on perception. Kinematic patterns of biological movement were analyzed in terms of movement qualities according to the effort-shape [Dell 1977] notation proposed by Laban [1950]. Three studies were performed to provide an analysis of the process leading to perception: from coaches’ states and traits through bodily movements to observers’ social perception. Thirty-two participants (i.e., observers) were asked to rate the movements of the virtual mannequin in terms of conveyed emotion dimensions, personality traits (five-factor model of personality), and perceived movement qualities (effort-shape) from 56 fitness movement sequences. The results showed high reliability for most of the evaluated dimensions, confirming interobserver agreement from kinematics at zero acquaintance. A large expressive halo merging emotional (e.g., perceived intensity) and personality aspects (e.g., extraversion) was found, driven by perceived kinematic impulsivity and energy. Observers’ perceptions were partially accurate for emotion dimensions and were not accurate for personality traits. Together, these results contribute to both the understanding of dimensions of social perception through movement and the design of expressive virtual sport coaches.\",\"PeriodicalId\":50921,\"journal\":{\"name\":\"ACM Transactions on Applied Perception\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2015-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Transactions on Applied Perception\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1145/2791294\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Applied Perception","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/2791294","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
Perception of Emotion and Personality through Full-Body Movement Qualities: A Sport Coach Case Study
Virtual sport coaches guide users through their physical activity and provide motivational support. Users’ motivation can rapidly decay if the movements of the virtual coach are too stereotyped. Kinematic patterns generated while performing a predefined fitness movement can elicit and help to prolong users’ interaction and interest in training. Human body kinematics has been shown to convey various social attributes such as gender, identity, and acted emotions. To date, no study provides information regarding how spontaneous emotions and personality traits together are perceived from full-body movements. In this article, we study how people make reliable inferences regarding spontaneous emotional dimensions and personality traits of human coaches from kinematic patterns they produced when performing a fitness sequence. Movements were presented to participants via a virtual mannequin to isolate the influence of kinematics on perception. Kinematic patterns of biological movement were analyzed in terms of movement qualities according to the effort-shape [Dell 1977] notation proposed by Laban [1950]. Three studies were performed to provide an analysis of the process leading to perception: from coaches’ states and traits through bodily movements to observers’ social perception. Thirty-two participants (i.e., observers) were asked to rate the movements of the virtual mannequin in terms of conveyed emotion dimensions, personality traits (five-factor model of personality), and perceived movement qualities (effort-shape) from 56 fitness movement sequences. The results showed high reliability for most of the evaluated dimensions, confirming interobserver agreement from kinematics at zero acquaintance. A large expressive halo merging emotional (e.g., perceived intensity) and personality aspects (e.g., extraversion) was found, driven by perceived kinematic impulsivity and energy. Observers’ perceptions were partially accurate for emotion dimensions and were not accurate for personality traits. Together, these results contribute to both the understanding of dimensions of social perception through movement and the design of expressive virtual sport coaches.
期刊介绍:
ACM Transactions on Applied Perception (TAP) aims to strengthen the synergy between computer science and psychology/perception by publishing top quality papers that help to unify research in these fields.
The journal publishes inter-disciplinary research of significant and lasting value in any topic area that spans both Computer Science and Perceptual Psychology. All papers must incorporate both perceptual and computer science components.