Titlebook: Intelligent Virtual Agents; 11th International C Hannes Högni Vilhjálmsson,Stefan Kopp,Kristinn R. Conference proceedings 2011 Springer-Ve

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Modeling Gaze Behavior for Virtual Demonstratorsects and listeners. Our analysis is based on full-body motions captured from human participants performing real demonstrative tasks in varied situations. We address temporal information and coordination with targets and observers at varied positions.

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0302-9743 ections on social and dramatic interaction; guides and relational agents; nonverbal behavior; adaptation and coordination; listening and feedback; frameworks and tools; cooperation and copresence; emotion; poster abstracts.978-3-642-23973-1978-3-642-23974-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Posture, Relationship, and Discourse Structuree shifts which incorporates changes that occur both within a single conversation and over multiple conversations. Implications for the design and implementation of virtual agents are discussed, with a particular focus on agents designed for long-term interaction.

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Nonverbal Action Selection for Explanations Using an Enhanced Behavior Netve goals, and the discourse history. This Enhanced Behavior Net can perform action selection dynamically, reprioritize actions based on all these elements, and resolve conflict situations without the use of sophisticated predefined rules.

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Towards Conversational Agents That Attend to and Adapt to Communicative User Feedback subsequent communicative behaviour to their needs. A comprehensive conceptual and architectural model for this is proposed and first steps of its realisation are described. Results from a prototype implementation are presented.

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Conference proceedings 2011ted from 91 submissions. The papers are organized in topical sections on social and dramatic interaction; guides and relational agents; nonverbal behavior; adaptation and coordination; listening and feedback; frameworks and tools; cooperation and copresence; emotion; poster abstracts.

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“I Like Your Shirt” - Dialogue Acts for Enabling Social Talk in Conversational Agents science work of “face”. Moreover, a corpus annotation and possible dialogue act sequences extracted from this annotated corpus are described. The dialogue act set and the sequences are used in our dialogue system to provide a more knowledge-driven treatment of small talk than chatbots can offer.

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Relational Agents Improve Engagement and Learning in Science Museum Visitorscantly greater engagement by museum visitors, measured by session length, number of sessions, and self-reported attitude, as well as learning gains, as measured by a knowledge test, compared to the same agent that did not use relational behavior. Implications for museum exhibits and intelligent tutoring systems are discussed.