Agents that reduce work and information overload
Communications of the ACM
How might people interact with agents
Communications of the ACM
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Direct manipulation vs. interface agents
interactions
From adaptive hypermedia to the adaptive web
Communications of the ACM - The Adaptive Web
Mixed-Initiative Issues in an Agent-Based Meeting Scheduler
User Modeling and User-Adapted Interaction
A collaborative assistant for email
CHI '99 Extended Abstracts on Human Factors in Computing Systems
The Persona Effect: How Substantial Is It?
HCI '98 Proceedings of HCI on People and Computers XIII
User - interface agent interaction: personalization issues
International Journal of Human-Computer Studies
Modeling user interests by conceptual clustering
Information Systems - Special issue: The semantic web and web services
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Syskill & webert: Identifying interesting web sites
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Modeling sequences of user actions for statistical goal recognition
User Modeling and User-Adapted Interaction
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Interface agents are computer programmes that provide assistance to users dealing with computer-based applications. The introduction of agents to user interfaces caused the exploration of new metaphors to enhance user ability to directly manipulate interfaces. In this regard, mixed-initiative interaction refers to a flexible interaction strategy in which agents contribute with users by providing suitable information at the most appropriate time. Mixed-initiative approaches promise to dramatically enhance human-computer interaction by allowing agents to resemble human assistants. In this paper, we report a study on how the interaction metaphor can affect the user perception of agent capabilities and, in turn, the final success of agents.