We studied user behaviors when the cursor is directed by a head in a simple control task. We used an intelligent writing tool called Dasher. Hidden Markov models (HMMs) were applied to separate behavioral patterns. We found that a similar interpretations can be given to the hidden states upon learning. It is argued that the recognition of such general application specific behavioral patterns should be of help for adaptive human-computer interfaces.
|Number of pages||6|
|Journal||IEEE International Conference on Neural Networks - Conference Proceedings|
|Publication status||Published - Dec 1 2004|
|Event||2004 IEEE International Joint Conference on Neural Networks - Proceedings - Budapest, Hungary|
Duration: Jul 25 2004 → Jul 29 2004
ASJC Scopus subject areas