Polite Personal Agents

Authors:
Silvia Schiaffino;Analia Amandi
Affiliations:
ISISTAN Research Institute, Universidad Nacional del Centro de la Provincia de Buenos Aires, and Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina;ISISTAN Research Institute, Universidad Nacional del Centro de la Provincia de Buenos Aires, and Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina
Venue:
IEEE Intelligent Systems
Year:
2006

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Abstract

Most people would welcome a personal assistant to help them with their work. When this help is embodied in a software assistant, however, many doubt the proposition's value. Past negative experiences with software assistants that interrupted them with irrelevant information or unnecessary suggestions leads many people to reject the concept outright. Software agents might also suggest actions when users prefer to find their own solutions, or warn users about problems when what they want is a solution. For software assistants to be acceptable, they must not only learn users' interests and priorities but also learn how to properly work and interact with users in different contexts. A new user-profiling approach personalizes and enhances the interaction between a user and his or her personal agent. This approach aims to design agents that provide context-aware assistance and make context-aware interruptions in a timely manner. This article is part of a special issue on AI, Agents, and the Web.