TY - GEN
T1 - Recognition of users" activities using constraint satisfaction
AU - Reddy, Swapna
AU - Gal, Ya'Akov
AU - Shieber, Stuart M.
PY - 2009/10/15
Y1 - 2009/10/15
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=70349791897&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-02247-0_46
DO - 10.1007/978-3-642-02247-0_46
M3 - Conference contribution
AN - SCOPUS:70349791897
SN - 3642022464
SN - 9783642022463
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 415
EP - 421
BT - User Modeling, Adaptation, and Personalization - 17th International Conference, UMAP 2009 formerly UM and AH, Proceedings
T2 - 17th International Conference on User Modeling, Adaptation, and Personalization, UMAP 2009
Y2 - 22 June 2009 through 26 June 2009
ER -