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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
HCGSYMPO
(2nd)
2020-12-15
- 2020-12-17
Online Online Analysis driver characteristics based on integration of in-vehicle sensor data and driver video data
Takashi Iitsuka, Shogo Okada (JAIST), Takashiro Tanaka, Yuki Yoshihara, Kazuhiro Fujikake, Hitoshi Kanamori (Nagoya University)
Thought the development of the automobile industry has brought great benefits to people's lives, traffic accidents by in... [more]
HCGSYMPO
(2nd)
2020-12-15
- 2020-12-17
Online Online 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)
Although Social Skills Training is a well-known effective method to obtain appropriate social skills during daily commun... [more]
ET 2020-12-12
14:10
Online Online Multimodal Discourse Analysis for Encouraging Collaborative Learning in Small Group
Shota Yokoyama, Tessai Hayama (NUT) ET2020-41
In group learning, effective knowledge transfer among learners is one of the most important factors in promoting coopera... [more] ET2020-41
pp.37-42
NLC 2020-02-17
09:30
Tokyo Seikei University Group performance modeling using verbal and nonverbal information
Go Miura, Shogo Okada (JAIST) NLC2019-40
This paper presented computational analysis for predicting the group performance which is defined by
"product dimension... [more]
NLC2019-40
pp.21-26
HCS 2019-08-23
14:45
Osaka Jikei Institute [Tutorial Lecture] Fundamentals and applications of Social Signal Processing
Shogo Okada (JAIST) HCS2019-31
The objective of Social Signal Processing (SSP) is to develop computational models for recognizing human social signals ... [more] HCS2019-31
pp.13-14
HCS 2019-08-23
16:45
Osaka Jikei Institute Collection and Analysis of Human-System Multimodal Dialogue Data with Subjective Ratings
Kazunori Komatani (Osaka Univ.), Shogo Okada (JAIST) HCS2019-33
Dialogue systems need to capture not only the verbal content that the user explicitly speaks but also the subtle behavio... [more] HCS2019-33
pp.21-26
HCGSYMPO
(2nd)
2017-12-13
- 2017-12-15
Ishikawa THE KANAZAWA THEATRE Estimation of important scenes in interviews using multimodal information
Takuya Ishihara, Fuminori Nagasawa (TokyoTech), Shogo Okada (JAIST), Katsumi Nitta (TokyoTech)
In this paper, we propose a multimodal modeling framework to detect the important utterances
in human-robot interview d... [more]

 Results 1 - 7 of 7  /   
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