Wizard of Oz studies: why and how
IUI '93 Proceedings of the 1st international conference on Intelligent user interfaces
The role of emotion in believable agents
Communications of the ACM
Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
Affective computing
Foundations of statistical natural language processing
Foundations of statistical natural language processing
International Journal of Human-Computer Studies - Special issue on collaboration, cooperation and conflict in dialogue systems
Designing and evaluating conversational interfaces with animated characters
Embodied conversational agents
Truth is beauty: researching embodied conversational agents
Embodied conversational agents
Machine Conversations
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
An experiment in automated humorous output production
Proceedings of the 8th international conference on Intelligent user interfaces
How to find trouble in communication
Speech Communication - Special issue on speech and emotion
Negotiated Collusion: Modeling Social Language and its Relationship Effects in Intelligent Agents
User Modeling and User-Adapted Interaction
Profiling your customers using Bayesian networks
ACM SIGKDD Explorations Newsletter
The kappa statistic: a second look
Computational Linguistics
Towards emotion prediction in spoken tutoring dialogues
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
From brows to trust: evaluating embodied conversational agents
From brows to trust: evaluating embodied conversational agents
Data-Driven refinement of a probabilistic model of user affect
UM'05 Proceedings of the 10th international conference on User Modeling
Special issue on dialog systems for health communication
Journal of Biomedical Informatics - Special issue: Dialog systems for health communications
`O Francesca, ma che sei grulla?' Emotions and Irony in Persuasion Dialogues
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
'You are Sooo Cool, Valentina!' Recognizing Social Attitude in Speech-Based Dialogues with an ECA
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
Integrating Planning and Dialogue in a Lifestyle Agent
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Visualizing the Importance of Medical Recommendations with Conversational Agents
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Natural Language Engineering
Are ECAs More Persuasive than Textual Messages?
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
International Journal of Human-Computer Studies
Why fat interface characters are better e-health advisors
IVA'06 Proceedings of the 6th international conference on Intelligent Virtual Agents
Motivating people in smart environments
UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
System Personality and Persuasion in Human-Computer Dialogue
ACM Transactions on Interactive Intelligent Systems (TiiS)
Estimating a user’s internal state before the first input utterance
Advances in Human-Computer Interaction
User interactions with an affective nutritional coach
Interacting with Computers
International Journal of Systems and Service-Oriented Engineering
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In this paper, we describe our experience with the design and implementation of an embodied conversational agent (ECA) that converses with users to change their dietary behavior. Our intent is to develop a system that dynamically models the agent and the user and adapts the agent's counseling dialog accordingly. Towards this end, we discuss our efforts to automatically determine the user's dietary behavior stage of change and attitude towards the agent on the basis of unconstrained typed text dialog, first with another person and then with an ECA controlled by an experimenter in a wizard of Oz study. We describe how the results of these studies have been incorporated into an algorithm that combines the results from simple parsing rules together with contextual features using a Bayesian network to determine user stage and attitude automatically.