Recognition of Users’ Activities Using Constraint Satisfaction

Swapna Reddy, Yakov Gal, Stuart M. Shieber

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Ideally designed software allow users to explore and pursue interleaving plans, making it challenging to automatically recognize user interactions. The recognition algorithms presented use constraint satisfaction techniques to compare user interaction histories to a set of ideal solutions. We evaluate these algorithms on data obtained from user interactions with a commercially available pedagogical software, and find that these algorithms identified users’ activities with 93% accuracy.
Original languageEnglish
Title of host publication17th International Conference on User Modeling, Adaptation, and Personalization
Place of PublicationTrento, Italy
PublisherSpringer Berlin Heidelberg
Pages415-421
Number of pages7
ISBN (Electronic)978-3-642-02247-0
ISBN (Print)978-3-642-02246-3
DOIs
Publication statusPublished - 2009
Event17th International Conference of User Modeling, Adaptation, and Personalization - Trento, Italy
Duration: 22 Jun 200926 Jun 2009

Conference

Conference17th International Conference of User Modeling, Adaptation, and Personalization
Abbreviated titleUMAP 2009
Country/TerritoryItaly
CityTrento
Period22/06/0926/06/09

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