IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2020-12-17 11:25
Objective Prediction of Social Skills Level for Automated Social Skills Training Using Multimodal Information
Takeshi Saga, Hiroki Tanaka (NAIST), Hidemi Iwasaka (Nara Med. Univ.), Satoshi Nakamura (NAIST)
Abstract (in Japanese) (See Japanese page) 
(in English) Although Social Skills Training is a well-known effective method to obtain appropriate social skills during daily communication, getting such training is difficult due to a shortage of therapists. Therefore, automatic training systems are required to ameliorate this situation. To fairly evaluate social skills, we need an objective evaluation method. In this paper, we utilized the second edition of the Social Responsiveness Scale (SRS-2) as an objective evaluation metric and developed an automatic evaluation system using linear regression with multi-modal features. We newly adopted features including 28 audio features and BERT-based sequential similarity, and Facial Action Units. We achieved a 0.52 Pearson correlation coefficient for the SRS-2’s overall score prediction and 0.65 for the social communication score prediction, which is a treatment subscale score of SRS-2. This experiment shows that our system can objectively predict the levels of social skills.
Keyword (in Japanese) (See Japanese page) 
(in English) Social skills training / Social signal processing / Multimodal analysis / Linear regression / Facial Action Coding System / Social Responsiveness Scale / /  
Reference Info. IEICE Tech. Rep.
Paper #  
Date of Issue  
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Download PDF

Conference Information
Committee HCGSYMPO  
Conference Date 2020-12-15 - 2020-12-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To HCGSYMPO 
Conference Code 2020-12-HCGSYMPO 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Objective Prediction of Social Skills Level for Automated Social Skills Training Using Multimodal Information 
Sub Title (in English)  
Keyword(1) Social skills training  
Keyword(2) Social signal processing  
Keyword(3) Multimodal analysis  
Keyword(4) Linear regression  
Keyword(5) Facial Action Coding System  
Keyword(6) Social Responsiveness Scale  
1st Author's Name Takeshi Saga  
1st Author's Affiliation Nara Institute of Science and Technology (NAIST)
2nd Author's Name Hiroki Tanaka  
2nd Author's Affiliation Nara Institute of Science and Technology (NAIST)
3rd Author's Name Hidemi Iwasaka  
3rd Author's Affiliation Nara Medical University (Nara Med. Univ.)
4th Author's Name Satoshi Nakamura  
4th Author's Affiliation Nara Institute of Science and Technology (NAIST)
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-1 
Date Time 2020-12-17 11:25:00 
Presentation Time 15 minutes 
Registration for HCGSYMPO 
Paper #  
Volume (vol) vol. 
Number (no)  
Date of Issue  

[Return to Top Page]

[Return to IEICE Web Page]

The Institute of Electronics, Information and Communication Engineers (IEICE), Japan