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Paper Abstract and Keywords
Presentation 2017-12-13 15:10
Estimation of important scenes in interviews using multimodal information
Takuya Ishihara, Fuminori Nagasawa (TokyoTech), Shogo Okada (JAIST), Katsumi Nitta (TokyoTech)
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose a multimodal modeling framework to detect the important utterances
in human-robot interview dialogue.
The important utterance is defined as (1) the utterance which is spoken more actively and positively than the other utterances, or (2) the utterance which includes key contents to summarize the whole interview.
Multimodal features including spoken words, prosody, gesture, and posture are effective to capture the active and positive attitude of participant on the interview.In many case, such important utterances are observed sequentially with a duration, because
participants tend to continue the active attitudes to answer the questions about the topic if they are interested in a specific topic.
Therefore, time-series feature is also effective to recognize the important utterance.
The multimodal and time-series features are fused using a linear SVM.
Experimental results show that the recognition accuracy of proposed model with multimodal and time-series features was 68 % and the accuracy is improved from best accuracy: 57 % in unimodal models by 11 %.
Keyword (in Japanese) (See Japanese page) 
(in English) Multimodal Interaction / Social Signal Processing / Scene Estimation / Interview / / / /  
Reference Info. IEICE Tech. Rep.
Paper #  
Date of Issue  
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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Conference Information
Committee HCGSYMPO  
Conference Date 2017-12-13 - 2017-12-15 
Place (in Japanese) (See Japanese page) 
Place (in English) THE KANAZAWA THEATRE 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Human communication, etc. 
Paper Information
Registration To HCGSYMPO 
Conference Code 2017-12-HCGSYMPO 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimation of important scenes in interviews using multimodal information 
Sub Title (in English)  
Keyword(1) Multimodal Interaction  
Keyword(2) Social Signal Processing  
Keyword(3) Scene Estimation  
Keyword(4) Interview  
1st Author's Name Takuya Ishihara  
1st Author's Affiliation Tokyo Institute of Technology (TokyoTech)
2nd Author's Name Fuminori Nagasawa  
2nd Author's Affiliation Tokyo Institute of Technology (TokyoTech)
3rd Author's Name Shogo Okada  
3rd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
4th Author's Name Katsumi Nitta  
4th Author's Affiliation Tokyo Institute of Technology (TokyoTech)
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Date Time 2017-12-13 15:10:00 
Presentation Time 20 
Registration for HCGSYMPO 
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