Recognition of Users' Activities Using Constraint Satisfaction

Authors:
Swapna Reddy;Ya'Akov Gal;Stuart M. Shieber
Affiliations:
School of Engineering and Applied Sciences, Harvard University,;School of Engineering and Applied Sciences, Harvard University,;School of Engineering and Applied Sciences, Harvard University,
Venue:
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Year:
2009

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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.