Modeling Motivational and Action Attitudes
Abstract
Time management for both individuals and groups is notoriously hard. The planning process is tedious, and the outcome is often inefficient for both the individual and the group. We seek to improve both the process and the outcome by transforming the digital calendar from a passive repository of events to an active scheduling assistant in four key steps. First, building on logical theories of intention, we enrich the expressive power of calendar entries to better capture the way people naturally think about intentions and plans. Second, building on optimization techniques and empirical findings from behavioral psychology, we develop scheduling algorithms to efficiently allocate time. Third, we extend our new calendar entries and scheduling algorithms to the multiagent setting. Finally, we are in the process of developing software that combines this theoretical work with good interface design and engineering to make a truly useful system.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 14, 2015
- Accession Number
- ADA621748
Entities
People
- Yoav Shoham
Organizations
- Stanford University