Presentation 2007-02-22
Trial of Model Base Estimation on Children's Attentional Distribution : Case Study on TV Tag Game
Hiroyuki SAKAMOTO, Satoru ISHIKAWA, Takashi OMORI,
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Abstract(in English) Human being directs his/her attention to objects in circumstances, and the attention is divided properly. In this study, we try to estimate children's attention distribution from their behavior. For the purpose, we propose a model based estimation method of attention to evaluate human action decision. If we can estimate attention distribution with the method, we may improve various interaction with human and machine. To evaluate our proposal, we deal with child's TV tag game. We propose a computational model to predict child's game operation, and estimate fitting between child's operation and the predicted one by the model. From the results, we discuss on children's developmental change in their game operation and in their behavior decision.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Attentional Distribution / Behavior Decision / Model Based Estimation / Potential Field / TV Game
Paper # PRMU2006-219,HIP2006-112
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Committee PRMU
Conference Date 2007/2/15(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Trial of Model Base Estimation on Children's Attentional Distribution : Case Study on TV Tag Game
Sub Title (in English)
Keyword(1) Attentional Distribution
Keyword(2) Behavior Decision
Keyword(3) Model Based Estimation
Keyword(4) Potential Field
Keyword(5) TV Game
1st Author's Name Hiroyuki SAKAMOTO
1st Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University()
2nd Author's Name Satoru ISHIKAWA
2nd Author's Affiliation Faculty of Letters, Hokusei Gakuen University
3rd Author's Name Takashi OMORI
3rd Author's Affiliation Research Institute, Tamagawa University
Date 2007-02-22
Paper # PRMU2006-219,HIP2006-112
Volume (vol) vol.106
Number (no) 538
Page pp.pp.-
#Pages 6
Date of Issue