1 option
The Handbook on Socially Interactive Agents : 20 Years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics, Volume 2: Interactivity, Platforms, Application.
- Format:
- Book
- Author/Creator:
- Lugrin, Birgit.
- Series:
- ACM Bks.
- Language:
- English
- Subjects (All):
- Human-computer interaction.
- Artificial intelligence.
- Physical Description:
- 1 online resource (710 p.)
- Edition:
- 1st ed.
- Other Title:
- Handbook on Socially Interactive Agents
- Place of Publication:
- New York City : Morgan & Claypool Publishers, 2022.
- Summary:
- The Handbook on Socially Interactive Agents provides a comprehensive overview of the research fields of Embodied Conversational Agents;Intelligent Virtual Agents;and Social Robotics. Socially Interactive Agents (SIAs);whether virtually or physically embodied;are autonomous agents that are able to perceive an environment including people or other agents;reason;decide how to interact;and express attitudes such as emotions;engagement;or empathy. They are capable of interacting with people and one another in a socially intelligent manner using multimodal communicative behaviors;with the goal to support humans in various domains.Written by international experts in their respective fields;the book summarizes research in the many important research communities pertinent for SIAs;while discussing current challenges and future directions. The handbook provides easy access to modeling and studying SIAs for researchers and students;and aims at further bridging the gap between the research communities involved.In two volumes;the book clearly structures the vast body of research. The first volume starts by introducing what is involved in SIAs research;in particular research methodologies and ethical implications of developing SIAs. It further examines research on appearance and behavior;focusing on multimodality. Finally;social cognition for SIAs is investigated using different theoretical models and phenomena such as theory of mind or pro-sociality. The second volume starts with perspectives on interaction;examined from different angles such as interaction in social space;group interaction;or long-term interaction. It also includes an extensive overview summarizing research and systems of human-agent platforms and of some of the major application areas of SIAs such as education;aging support;autism;and games.
- Contents:
- Intro
- The Handbook on Socially Interactive Agents
- Contents
- Foreword
- Preface
- Purpose of the Book
- Structure of the Book
- Volume 1
- Volume 2
- Terminology
- References
- IV MODELING INTERACTIVITY
- 14 Interaction in Social Space
- 14.1 Motivation
- 14.2 Models and Approaches
- 14.2.1 The Structure of Social Space
- 14.2.2 The Body in Social Space
- 14.2.3 Interaction Functions in Social Space
- 14.3 History/Overview
- 14.3.1 First Phase: Behavioral Animation (Approx. 1985-1995)
- 14.3.2 Second Phase: Embodied Conversation (Approx. 1995-2005)
- 14.3.3 Third Phase: Gatherings and Groups (Approx. 2005-2010)
- 14.3.4 Fourth Phase: Immersive Studies (Approx. 2010-2020)
- 14.4 Similarities and Differences in IVAs and SRs
- 14.5 Current Challenges
- 14.5.1 Formalizing Continuous Spatial Behavior
- 14.5.2 Animating Movement in Tight Spaces
- 14.5.3 Mixing Theoretical Models
- 14.6 Future Directions
- 14.6.1 Creating Accessible Social Behavior Toolkits
- 14.6.2 Adding Social Signals to Autonomous Vehicles
- 14.6.3 Increasing Multisensory Fidelity in XR
- 14.7 Summary
- 15 Socially Interactive Agent Dialogue
- Acknowledgements
- 16 The Fabric of Socially Interactive Agents: Multimodal Interaction Architectures
- 16.1 Motivation
- 16.1.1 Requirements for Multimodal Interaction
- 16.2 Models and Approaches
- 16.2.1 Embodied Conversational or Virtual Agent Architectures
- 16.2.1.1 Single-route Architectures
- 16.2.1.2 Dual-route Architectures
- 16.2.1.3 Multidirectional, Incremental Architectures
- 16.2.1.4 Behavior Generation Sub-architectures
- 16.2.2 Social Robot Architectures
- 16.2.2.1 Sensing Modalities
- 16.2.2.2 Action Modalities
- 16.2.2.3 Single-route Architectures
- 16.2.2.4 Dual-route Architectures
- 16.2.2.5 Multidirectional, Incremental Architectures.
- 16.2.3 Similarities and Differences of Virtual Agent and Social Robot Architectures
- 16.3 Current Challenges and Future Directions
- 16.3.1 Interaction Memories and Learning
- 16.3.2 Cognitively Inspired versus Application-centered Architectures
- 16.3.3 Interaction-aware Behavior Generation
- 16.3.4 Uncertainty-awareness in Social Interaction
- 16.3.5 Evaluation Measures
- 16.4 Summary
- 17 Multiparty Interaction Between Humans and Socially Interactive Agents
- 17.1 Motivation
- 17.2 Models and Approaches
- 17.2.1 Social Gatherings
- 17.2.2 Groups and Teams
- 17.2.3 Proxemics
- 17.2.4 Face-formations in Social Conversations
- 17.2.5 Other Group Phenomena
- 17.3 Advances in Multiparty Interaction
- 17.3.1 Evaluating and Understanding Groups
- 17.3.1.1 Measuring Believability
- 17.3.1.2 Measuring Attitudes
- 17.3.1.3 Spatial Behavior Understanding
- 17.3.1.4 Understanding Group Dynamics
- 17.3.1.5 Influencing Group Dynamics
- 17.3.2 Automatic Perception of Group Dynamics
- 17.3.3 Generating Behavior in Groups
- 17.3.3.1 Conversational Behaviors
- 17.3.3.2 Locomotion Behaviors
- 17.3.3.3 Approach Behaviors
- 17.4 Group Datasets
- 17.5 Similarities and Differences in IVAs and SRs
- 17.6 Current Challenges and Future Directions
- 17.7 Summary
- 18 Adaptive Artificial Personalities
- 18.1 Motivation
- 18.2 Psychological Background
- 18.2.1 Personality and Interpersonal Stance
- 18.2.1.1 Five Factor Model
- 18.2.1.2 PAD Temperament Model
- 18.2.1.3 Interpersonal Circumplex
- 18.2.1.4 Politeness Theory
- 18.2.2 Theories About Interpersonal Compatibility
- 18.2.2.1 Similarity Attraction Theory
- 18.2.2.2 Complementarity Theory
- 18.2.2.3 Interpersonal Goals
- 18.3 Implementing Adaptive Systems
- 18.3.1 Expressing Personality with SIAs
- 18.3.2 Adaptation Approaches.
- 18.3.2.1 Decision-theoretic Reasoning
- 18.3.2.2 Reinforcement Learning
- 18.3.2.3 Neural Learning of Personality-based Behavior Styles
- 18.4 Evaluating Adaptive Systems
- 18.4.1 Simulation
- 18.4.2 Perception Studies
- 18.4.3 Wizard-of-Oz Studies
- 18.4.4 Autonomous Interactive Systems
- 18.5 History/Overview
- 18.6 Current Challenges
- 18.6.1 In Situ Studies
- 18.6.2 Finding the Right Level of Sensitivity
- 18.6.3 Fine-grained Behavior Timing
- 18.6.4 Autonomous Interactive Systems
- 18.7 Conclusion
- Acknowledgement
- 19 Long-Term Interaction with Relational SIAs
- 19.1 Motivation
- 19.1.1 Beyond Interaction to Relationship
- 19.2 What is Considered Long-term Interaction?
- 19.3 Relationship Models and Approaches
- 19.3.1 Dyadic Model
- 19.3.2 Dimensional Model
- 19.3.3 Provisional Model
- 19.3.4 Relationships with Animals
- 19.3.5 Attachment Theory
- 19.4 Designing Relational SIAs
- 19.4.1 Designing SIAs as Relational Partners
- 19.4.2 Long-term Relational SIAs
- 19.5 History of Long-term Interaction with SIAs
- 19.5.1 Long-term Interaction with Social Robots
- 19.5.1.1 Social Robots and Children
- 19.5.1.2 Social Robots for Health and Wellness
- 19.5.1.3 Living with Consumer Robots
- 19.5.2 Long-term Interaction with Virtual Agents
- 19.5.2.1 Virtual Agents and Health Change
- 19.5.2.2 Virtual Agents and Wellness
- 19.5.3 Long-term Interaction with Internet of Things Voice Assistants
- 19.6 Similarities and Differences in Social Robots, Virtual Agents, Voice Assistants, and other SIAs
- 19.7 Trends in Long-term SIA Research over the Past 20 Years
- 19.8 Current Challenges
- 19.8.1 Long-term Engagement
- 19.8.2 From Voice Interfaces to Engaging Conversation
- 19.8.2.1 Flexible Dialog
- 19.8.2.2 Nonverbal Cues
- 19.8.3 Long-term Adaptation and Personalization.
- 19.8.4 Achieving Long-term Beneficial Outcomes from Relational Properties
- 19.9 Future Directions
- 19.9.1 Understanding Novelty
- 19.9.2 Relational AI for SIAs
- 19.9.3 Ethical Issues and Design Practices
- 19.9.3.1 Social Bonds and Authenticity
- 19.9.3.2 Persuasion and Social Manipulation
- 19.9.3.3 Privacy and Security
- 19.9.3.4 Ethical Design Practices
- 19.10 Conclusion
- Acknowledgments
- 20 Platforms and Tools for SIA Research and Development
- 20.1 Motivation
- 20.2 Overview
- 20.3 History and Trends
- 20.4 Agent Platforms
- 20.4.1 Cognitive Architectures
- 20.4.2 Commercial Platforms
- 20.4.2.1 Unreal Engine
- 20.4.2.2 Unity
- 20.4.2.3 Honorable Mentions
- 20.4.3 Academic Platforms
- 20.4.3.1 Greta
- 20.4.3.2 Virtual Human Toolkit
- 20.4.3.3 Honorable Mentions
- 20.5 Tools to Create Appearance and nonverbal Behavior
- 20.5.1 Modeling
- 20.5.2 Animation
- 20.5.3 nonverbal Behavior Generation and Realization
- 20.6 Tools to Model Interactions
- 20.6.1 Speech Recognition
- 20.6.2 Audio-visual Sensing
- 20.6.3 Natural Language Processing
- 20.6.4 Expressive Speech
- 20.7 Similarities and Differences in IVAs and SRs
- 20.8 Current Challenges
- 20.9 Future Directions
- 20.10 Summary
- V AREAS OF APPLICATION
- 21 Pedagogical Agents
- 21.1 Background and Motivation
- 21.2 History of Pedagogical Agents
- 21.3 Designing and Implementing Pedagogical Agents
- 21.3.1 External Properties-Roles and Appearance
- 21.3.2 Internal Models and Properties-Policies, Actions, and Behaviors
- 21.4 Empirical Status of Pedagogical Agents
- 21.4.1 Research-based PA Design-Exploring Agent Voice
- 21.4.2 Communication Styles
- 21.4.3 Summary of Empirical Status
- 21.5 Relationship with IVA and SR Research
- 21.6 Current Challenges
- 21.7 Future Directions.
- 21.7.1 PA Support for Lifelong Learning
- 21.7.2 PA Support for Medical and Health Literacy
- 21.7.3 New and Emerging Areas for PA Research
- 21.8 Summary
- 22 Socially Interactive Agents as Peers
- 22.1 Introduction
- 22.2 Peer Interaction
- 22.2.1 Roles and Relationships in Peer Interaction
- 22.2.2 Debate and Disagreement
- 22.2.3 Varying Speaking Styles
- 22.2.4 Difference in Peer Social Interaction
- 22.2.5 Social Interaction during Task Behavior
- 22.2.6 Peer-based Learning
- 22.3 Research on Virtual Peers and SIAs as Peers
- 22.3.1 Roles for Virtual Peers
- 22.3.2 Debate, Teasing, and Disagreement in Virtual Peers
- 22.3.3 Varying Speaking Styles in Virtual Peers
- 22.3.4 Difference in SIAs as Peers
- 22.3.5 Social Intelligence in Virtual Peers
- 22.4 Models and Modeling
- 22.5 Future Work: User Modeling and Conversational Strategies
- 22.6 Ethics of Virtual Peers
- 22.7 Conclusions
- 23 Socially Interactive Agents for Supporting Aging
- 23.1 Motivation
- 23.2 History and Overview
- 23.3 Models and Approaches
- 23.4 Considerations
- 23.5 Current Challenges
- 23.5.1 Technology Acceptance
- 23.5.2 Ease of Use and Perceived Need
- 23.5.3 Trust
- 23.5.4 Agent Selection: Physically Embodied versus Virtual
- 23.5.5 Long-term Adoption and Novelty Effect
- 23.5.6 Security and Privacy
- 23.5.7 Enabling Choice
- 23.5.8 Developing Policies
- 23.6 Future Directions
- 23.7 Summary
- Acknowledgment
- 24 Health-Related Applications of Socially Interactive Agents
- 24.1 Motivation for Socially Interactive Agents in Healthcare
- 24.1.1 The Importance of Health Behavior
- 24.1.1.1 The Burden of Overweight and Obesity
- 24.1.1.2 The Burden of Chronic Disease
- 24.1.1.3 The Burden of Substance Abuse
- 24.1.2 Logistical Factors: Convenience and Cost.
- 24.1.3 Social-emotional Factors: Stigma, Trust, and Alliance.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Part of the metadata in this record was created by AI, based on the text of the resource.
- ISBN:
- 1-4503-9897-9
- OCLC:
- 1359062954
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.