Publication Details

Bringing the User Back into Scheduling: Two Case Studies of Interaction with Intelligent Scheduling Assistants

by Berry, P. and Peintner, N. and Yorke-Smith, N.

in Proceedings of AAAI Spring Symposium on Interaction Challenges for Artificial Assistants pp. 10–12,

Abstract

This position paper discusses the scheduling problem as collaboration between human and automated scheduling assistant. We compare two recent scheduling systems we have developed at SRI that both involve and enable the user in the scheduling process. While embedding fully automated scheduling algorithms, these assistant systems go beyond decision-aids. They work with and in service of their user to jointly solve the scheduling problem.

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Associated Projects

	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).
	Neptune A user-centric, integrated planning and scheduling system that assists the user in exploring the rich space of plans and associated resource assignment options in complex, real-world domains. Each component of the system (user, planner, and scheduler) reacts to the actions of the other, resolving conflicts, and iteratively refining the solution until acceptable.

AIC Personnel

	Name	Title	E-mail
	Berry, Pauline M	Alumnus
	Peintner, Bart	Computer Scientist
	Yorke-Smith, Neil	Computer Scientist