TY - GEN
T1 - Modeling and defining expert handwriting behavior
AU - Chowriappa, A.
AU - Subrahmaniyan, N.
AU - Srimathveeravalli, G.
AU - Bisantz, A.
AU - Kesavadas, T.
PY - 2009/12/1
Y1 - 2009/12/1
N2 - Computer based training has become an increasingly attractive alternative to traditional training methods for skill acquisition, and the topic of skill modeling has become one of great interest. One of the key problems in computer-based training is automatic skill evaluation, which requires precise and accurate skill modeling. In order to evaluate and model human skills it is necessary to identify a relevant set of attributes by which skill can be measured, interpreted and evaluated by computers. In this paper we present our work on attributed skill transfer and focus on the specific task of writing. Identifying the central attributes associated with writing and analyzing the consistencies of these attributes within and among subjects determines whether one unique expert model can be derived from a pool of experts. In our study key attributes of hand writing were identified and statistical analysis on subject data was conducted. In our analysis we found experts' behavior can be modeled using the parameters and the same could be used to distinguish between experts and novices, lending itself as an evaluation tool.
AB - Computer based training has become an increasingly attractive alternative to traditional training methods for skill acquisition, and the topic of skill modeling has become one of great interest. One of the key problems in computer-based training is automatic skill evaluation, which requires precise and accurate skill modeling. In order to evaluate and model human skills it is necessary to identify a relevant set of attributes by which skill can be measured, interpreted and evaluated by computers. In this paper we present our work on attributed skill transfer and focus on the specific task of writing. Identifying the central attributes associated with writing and analyzing the consistencies of these attributes within and among subjects determines whether one unique expert model can be derived from a pool of experts. In our study key attributes of hand writing were identified and statistical analysis on subject data was conducted. In our analysis we found experts' behavior can be modeled using the parameters and the same could be used to distinguish between experts and novices, lending itself as an evaluation tool.
KW - Handwriting
KW - Haptics
KW - Motor skill modeling
UR - http://www.scopus.com/inward/record.url?scp=74849125048&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=74849125048&partnerID=8YFLogxK
U2 - 10.1109/ICSMC.2009.5346085
DO - 10.1109/ICSMC.2009.5346085
M3 - Conference contribution
AN - SCOPUS:74849125048
SN - 9781424427949
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 2918
EP - 2923
BT - Proceedings 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009
T2 - 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009
Y2 - 11 October 2009 through 14 October 2009
ER -