Generating queries and replies during information-seeking interactions
International Journal of Human-Computer Studies
Why the elf acted autonomously: towards a theory of adjustable autonomy
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Acquiring User Preferences for Product Customization
UM '01 Proceedings of the 8th International Conference on User Modeling 2001
Learning and reasoning about interruption
Proceedings of the 5th international conference on Multimodal interfaces
A flexible approach to cooperative response generation in information-seeking dialogues
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Towards adjustable autonomy for the real world
Journal of Artificial Intelligence Research
Resolving plan ambiguity for cooperative response generation
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
Adjusting the autonomy of collections of agents in multiagent systems
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
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This paper presents a model for an agent to reason about interaction with multiple users in a collaborative environment. Central to this model is the concept of an interaction strategy, determining both who to ask and what to ask, towards maximizing overall expected utility. We allow for the case of a user not responding at all, after a period of waiting, and a user responding “I don't know”. Our model determines how long to wait for a response, and provides for follow up questions to users. All of this is done in a user modeling approach, with decisions based on specific factors being modeled for each user. We present the model in detail, using examples to illustrate its effectiveness and contrasting with related work.