Presentation | 2011-08-26 Estimating User's Conversational Engagement based on Head Pose Information Ryota Ooko, Ryo Ishii, Yukiko Nakano, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | With the goal of building an intelligent conversational agent that can recognize user's engagement, this paper proposed a method of judging the user's conversational engagement based on the head pose data. First, we analyzed how head pose information is correlated with user's conversational engagement, and found that amplitude of head movement and rotation has positive moderate correlation with the level of conversational engagement. Then, we established an engagement estimation model by applying a decision tree learning algorithm to 19 parameters. As a result, it was revealed that the proposed model based on the head pose information performs quite well. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | conversational engagement / head pose / eye gaze |
Paper # | HCS2011-32 |
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Committee | HCS |
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Conference Date | 2011/8/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Human Communication Science (HCS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Estimating User's Conversational Engagement based on Head Pose Information |
Sub Title (in English) | |
Keyword(1) | conversational engagement |
Keyword(2) | head pose |
Keyword(3) | eye gaze |
1st Author's Name | Ryota Ooko |
1st Author's Affiliation | Graduate School of Science and Technology, Seikei University() |
2nd Author's Name | Ryo Ishii |
2nd Author's Affiliation | NTT Cyber Space Laboratories, NTT Corporation:Graduate School of Informatics, Kyoto University |
3rd Author's Name | Yukiko Nakano |
3rd Author's Affiliation | Dept. of Computer and Information Science, Seikei University |
Date | 2011-08-26 |
Paper # | HCS2011-32 |
Volume (vol) | vol.111 |
Number (no) | 190 |
Page | pp.pp.- |
#Pages | 5 |
Date of Issue |