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This research explores the relationship between personality, speech behavior, and turn-taking in conversations. It addresses the challenges of consistent personalities, robust handling of uncertainty, and the need for transparent and adaptable behavior models. Psychological background and related work in virtual agents decision theory are also discussed.
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WhatIf I SpeakNow?A Decision-Theoretic ApproachtoPersonality-Based Turn-Taking Kathrin Janowski, Elisabeth André Human Centered Multimedia Institute of Computer Science Augsburg University Universitätsstr. 6a 86159 Augsburg, Germany
Motivation Speech behavioriscloselycoupledwithpersonalitiesandrelationships. Rogers & Jones, 1975: “Effects Of Dominance Tendencies On Floor Holding And Interruption Behavior In Dyadic Interaction"
Motivation Speech behavioriscloselycoupledwithpersonalitiesandrelationships. Goldberg, 1990: "Interrupting the discourse on interruptions: An analysis in terms of relationally neutral, power- and rapport-oriented acts"
Motivation But onlyforhumans.
Challenges Theyneedconsistentpersonalitiesand interpersonal attitudes.
Challenges Theyneed robust handlingofuncertainty.
Challenges Theyneed transparent, re-usableandadaptablebehavior models.
Psychological Background Speakers needtotakevariousgoalsintoaccount. Goldberg, 1990: “Interrupting the discourse on interruptions: An analysis in terms of relationally neutral, power- and rapport-oriented acts” Horowitz et al., 2006: „How Interpersonal Motives Clarify theMeaningof Interpersonal Behavior: A RevisedCircumplexModel“
Psychological Background DeYoung et al., 2013: “Unifying the Aspects of the Big Five, the Interpersonal Circumplex, and Trait Affiliation” Horowitz et al., 2006: "How Interpersonal Motives Clarify theMeaningof Interpersonal Behavior: A RevisedCircumplexModel“
Psychological Background DeYoung et al., 2013: “Unifying the Aspects of the Big Five, the Interpersonal Circumplex, and Trait Affiliation” Horowitz et al., 2006: "How Interpersonal Motives Clarify theMeaningof Interpersonal Behavior: A RevisedCircumplexModel“
Psychological Background DeYoung et al., 2013: “Unifying the Aspects of the Big Five, the Interpersonal Circumplex, and Trait Affiliation” Horowitz et al., 2006: "How Interpersonal Motives Clarify theMeaningof Interpersonal Behavior: A RevisedCircumplexModel“
Psychological Background McCrae & Costa, 1989: “The structure of interpersonal traits: Wiggins’s circumplex and the five-factor model” DeYoung et al., 2013: “Unifying the Aspects of the Big Five, the Interpersonal Circumplex, and Trait Affiliation”
Related Work - Virtual Agents Decision Theory What is the best timing? Bohus & Horvitz, 2011: "Decisions About Turns in Multiparty Conversation: From Perception to Action" Conati, 2013: "Virtual Butler: What Can We Learn from Adaptive User Interfaces?"
Related Work - Virtual Agents Decision Theory What is the best timing? Incremental Processing When can we start responding? Bohus & Horvitz, 2011: "Decisions About Turns in Multiparty Conversation: From Perception to Action" DeVault et al., 2011: "Incremental interpretation and prediction of utterance meaning for interactive dialogue" Visser et al., 2012: "Toward a model for incremental grounding in spoken dialogue systems" Conati, 2013: "Virtual Butler: What Can We Learn from Adaptive User Interfaces?" Chao, 2015: "Timing multimodal turn-taking in human-robot cooperative activity"
Related Work - Virtual Agents Decision Theory What is the best timing? Incremental Processing When can we start responding? Bohus & Horvitz, 2011: "Decisions About Turns in Multiparty Conversation: From Perception to Action" DeVault et al., 2011: "Incremental interpretation and prediction of utterance meaning for interactive dialogue" Visser et al., 2012: "Toward a model for incremental grounding in spoken dialogue systems" Conati, 2013: "Virtual Butler: What Can We Learn from Adaptive User Interfaces?" Chao, 2015: "Timing multimodal turn-taking in human-robot cooperative activity" Barge-In Handling When should we back down? Crook et al., 2010: "Handling user interruptions in an embodied conversational agent" Selfridge et al., 2013: "Continuously predicting and processing barge-in during a live spoken dialogue task" Smith et al., 2010: "Interaction Strategies for an Affective Conversational Agent"
Related Work - Virtual Agents Decision Theory What is the best timing? Incremental Processing When can we start responding? Bohus & Horvitz, 2011: "Decisions About Turns in Multiparty Conversation: From Perception to Action" DeVault et al., 2011: "Incremental interpretation and prediction of utterance meaning for interactive dialogue" Visser et al., 2012: "Toward a model for incremental grounding in spoken dialogue systems" Conati, 2013: "Virtual Butler: What Can We Learn from Adaptive User Interfaces?" Chao, 2015: "Timing multimodal turn-taking in human-robot cooperative activity" Personality and Stance How is it perceived? Barge-In Handling When should we back down? ter Maat et al., 2011: "How Agents’ Turn-Taking Strategies Influence Impressions and Response Behaviors" Crook et al., 2010: "Handling user interruptions in an embodied conversational agent" Ravenet et al., 2015: "Conversational Behavior Reflecting Interpersonal Attitudes in Small Group Interactions" Selfridge et al., 2013: "Continuously predicting and processing barge-in during a live spoken dialogue task" Cafaro et al., 2016: "The Effects of Interrupting Behavior on Interpersonal Attitude and Engagement in Dyadic Interactions" Smith et al., 2010: "Interaction Strategies for an Affective Conversational Agent"
Our Approach Wemodelpersonality-basedbehavior in an InfluenceDiagram.
First Prototype other Speech State own Role other Role other Speech State Duration own Extraversion own Status Exert Control own Agreeableness own Affiliation own Speech Behavior
First Prototype other Speech State own Role other Role other Speech State Duration own Extraversion own Status Exert Control own Agreeableness own Affiliation own Speech Behavior
First Prototype other Speech State own Role other Role other Speech State Duration own Extraversion own Status Exert Control own Agreeableness own Affiliation own Speech Behavior
First Prototype other Speech State own Role other Role other Speech State Duration own Extraversion own Status Exert Control own Agreeableness own Affiliation own Speech Behavior
Evaluation Stimuli: 2x2 Extraversion configurations
Evaluation Online Survey: 116 participants ♂ ♀ 20-29 years
Evaluation Extraversion: Agents are perceivedasmoreextraverted when configured as extraverted. CONFIRMED
Evaluation Status: Agents are perceived asmore dominant when configured as extraverted.
Evaluation Status: Agents are perceived asmore dominant when configured as extraverted. CONFIRMED
Evaluation Agreeableness: Agents are perceived aslessagreeable when configured as extraverted.
Evaluation Agreeableness: Agents are perceived aslessagreeable when configured as extraverted. CONFIRMED
Conclusion An influence diagram can generate turn-taking behavior in line with the configured personality.
Future Work Gaze
Future Work User Interaction Gaze
Future Work User Interaction Training Data Gaze
Future Work More Goals User Interaction Training Data Gaze
Future Work More Goals Semantics User Interaction Training Data Gaze