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Abstract:
The goalof this symposium is to identify the principles underlying the design of MI systems and to encourage their development and application. Towards this goal, this workshop provides a forum for interested researchers to share, discuss, and learn about experiences with, best practices on, and general issues concerning mixed-initiative problem-solving approaches, such as: Agent interfaces; Case studies of successful MI systems; Characterization of domains amenable to MI approaches; Comparisons of MI systems; Conversational case-based reasoning; Conversational problem solving; Dialogue management and discourse grammars; Dialogue recovery strategies; Exploiting user feedback; Evaluation methodologies, metrics, and measures; Explanation strategies and techniques; Initiative sharing strategies; Intelligent assistants; Intelligent tutoring systems; Intelligent and adaptive user interfaces; Knowledge acquisition; Knowledge capture; Learning apprentice systems; Learning strategies for MI systems; MI planning and scheduling systems; Novel MI approaches and applications; Personalization; Problem and plan recognition; Recommender systems; Task modeling for MI systems; Task-oriented interfaces; and User modeling.