{"title":"双虚拟体的相互姿态建立:微笑对齐与同步","authors":"K. Prepin, M. Ochs, C. Pelachaud","doi":"10.1109/SocialCom-PASSAT.2012.134","DOIUrl":null,"url":null,"abstract":"When we consider communication, the \"interactivenature of dialog supports interactive alignment of linguistic representations\" [1]. However, verbal communication cannot be reduced to speech. Non-verbal behaviours (NVBs) of interactantsare also taking part in interactive alignment. Based on NVBs alignment, this paper proposes a model of mutual building of stance between virtual agents. In this model, we focus on the the social signal of smile. Indeed, smiles are particular non-verbal markers of agents' stances: their characteristics in terms of facial and dynamical patterns leads to discriminate stances as for instance politeness or amusement. We propose a model combining alignment of types of smile and alignement of timing of smiles (synchronisation). This model enables a dyad of agents to mutually build a common stance, to align on a shared social stance.","PeriodicalId":129526,"journal":{"name":"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Mutual Stance Building in Dyad of Virtual Agents: Smile Alignment and Synchronisation\",\"authors\":\"K. Prepin, M. Ochs, C. Pelachaud\",\"doi\":\"10.1109/SocialCom-PASSAT.2012.134\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"When we consider communication, the \\\"interactivenature of dialog supports interactive alignment of linguistic representations\\\" [1]. However, verbal communication cannot be reduced to speech. Non-verbal behaviours (NVBs) of interactantsare also taking part in interactive alignment. Based on NVBs alignment, this paper proposes a model of mutual building of stance between virtual agents. In this model, we focus on the the social signal of smile. Indeed, smiles are particular non-verbal markers of agents' stances: their characteristics in terms of facial and dynamical patterns leads to discriminate stances as for instance politeness or amusement. We propose a model combining alignment of types of smile and alignement of timing of smiles (synchronisation). This model enables a dyad of agents to mutually build a common stance, to align on a shared social stance.\",\"PeriodicalId\":129526,\"journal\":{\"name\":\"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SocialCom-PASSAT.2012.134\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SocialCom-PASSAT.2012.134","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mutual Stance Building in Dyad of Virtual Agents: Smile Alignment and Synchronisation
When we consider communication, the "interactivenature of dialog supports interactive alignment of linguistic representations" [1]. However, verbal communication cannot be reduced to speech. Non-verbal behaviours (NVBs) of interactantsare also taking part in interactive alignment. Based on NVBs alignment, this paper proposes a model of mutual building of stance between virtual agents. In this model, we focus on the the social signal of smile. Indeed, smiles are particular non-verbal markers of agents' stances: their characteristics in terms of facial and dynamical patterns leads to discriminate stances as for instance politeness or amusement. We propose a model combining alignment of types of smile and alignement of timing of smiles (synchronisation). This model enables a dyad of agents to mutually build a common stance, to align on a shared social stance.