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Abstract
Interactive intention understanding is important for Pen-based User Interface (PUI). Many works on this topic are reported, and focus on handwriting or sketching recognition algorithms at the lexical layer. But these algorithms cannot totally solve the problem of intention understanding and can not provide the pen-based software with high usability. Hence, a scenario-based interactive intention understanding framework is presented in this paper, and is used to simulate human cognitive mechanisms and cognitive habits. By providing the understanding environment supporting the framework, we can apply the framework to the practical PUI system. The evaluation of the Scientific Training Management System for the Chinese National Diving Team shows that the framework is effective in improving the usability and enhancing the intention understanding capacity of this system.
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Authors and Affiliations
Institute of Software, Chinese Academy of Sciences, P.R. of China
Xiaochun Wang, Yanyan Qin, Feng Tian & Guozhong Dai
- Xiaochun Wang
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- Yanyan Qin
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- Feng Tian
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- Guozhong Dai
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Editor information
Editors and Affiliations
National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences,
Jianhua Tao
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
Tieniu Tan
MIT Media Laboratory, 20 Ames Street, 02139, Cambridge, MA, USA
Rosalind W. Picard
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© 2005 Springer-Verlag Berlin Heidelberg
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Wang, X., Qin, Y., Tian, F., Dai, G. (2005). Scenario-Based Interactive Intention Understanding in Pen-Based User Interfaces. In: Tao, J., Tan, T., Picard, R.W. (eds) Affective Computing and Intelligent Interaction. ACII 2005. Lecture Notes in Computer Science, vol 3784. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11573548_106
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