Recognition of Users' Activities using Constraint Satisfaction

 
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https://doi.org/10.1007/978-3-642-02247-0
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Reddy, Swapna, Ya’akov Gal, and Stuart M. Shieber. 2009. Recognition of users' activities using constraint satisfaction. In User modeling, adaptation, and personalization: proceedings of the 17th international conference, UMAP 2009, formerly UM and AH, Trento, Italy, 22-26 June 2009, ed. G. Houben, 415-421. Berlin; New York: Springer.
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.
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http://nrs.harvard.edu/urn-3:HUL.InstRepos:4736889

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