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Publication Details

PTIME: Personalized assistance for calendaring

by Berry, P. M. and Gervasio, M. and Peintner, B. and Yorke-Smith, N.

ACM Transactions on Intelligent Systems and Technology, vol. 2, no. 4, pp. 40:1-40:22, July 2011.

Abstract

In a world of electronic calendars, the prospect of intelligent, personalized time management assistance seems a plausible and desirable application of AI. PTIME (Personalized Time Management) is a learning cognitive assistant agent that helps users handle email meeting requests, reserve venues, and schedule events. PTIME is designed to unobtrusively learn scheduling preferences, adapting to its user over time. The agent allows its user to flexibly express requirements for new meetings, as they would to an assistant. It interfaces with commercial enterprise calendaring platforms, and it operates seamlessly with users who do not have PTIME. This article overviews the system design and describes the models and technical advances required to satisfy the competing needs of preference modeling and elicitation, constraint reasoning, and machine learning. We further report on a multifaceted evaluation of the perceived usefulness of the system.

Electronic Copies

DOI
10.1145/1989734.1989744

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Copyright ©2011 ACM

Associated Projects

CALO

Cognitive Assistant that Learns and Organizes

As part of DARPA’s Personalized Assistant that Learns (PAL) program, SRI and team members are working on developing a next-generation "Cognitive Agent that Learns and Organizes" (CALO).

AIC Personnel

Name Title E-mail
Berry, Pauline M Alumnus
Gervasio, Melinda Senior Computer Scientist
Peintner, Bart Sr. Computer Scientist
Yorke-Smith, Neil Computer Scientist

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