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All Technical Committee Conferences (Searched in: Recent 10 Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| HCS | 2025-03-14 17:05 |
Shizuoka | Analysis of the Continuous Effects of Assertive Feedbacks and Sentiment Elements from a Job Interview Training Agent Tomoko Koda, Kota Yamauchi, Nao Takeuchi (OIT), Miho Hotta (KINDAI)  HCS2024-125 |
In this study, we developed an interview training agent system that points out areas for improvement in the interviewee'... [more] | HCS2024-125 pp.212-219 |
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| HCGSYMPO (2nd) |
2024-12-11 - 2024-12-13 |
Ishikawa | The Kanazawa Theatre | Analysis of the Continuous Effects of Assertive Feedback from a Job Interview Training Agent Tomoko Koda, Kota Yamauchi, Nao Takeuchi (OIT), Miho Hotta (KINDAI) |
In this study, we developed an interview training agent system that points out areas for improvement in the interviewee'... [more] | |
| IN | 2024-01-18 15:50 |
Aichi | [Invited Talk]
Malicious social bot detection on social networks based on graph signal processing Satoshi Furutani (NTT) IN2023-55 |
Social media have been deeply blended into our lives as a major platform to gather information, disseminate information,... [more] | IN2023-55 pp.35-39 |
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| HCS, CNR | 2023-11-06 15:30 |
Tokyo | Kogakuin University (Primary: On-site, Secondary: Online) |
Effect of Assertive Feedback from a Job Interview Training Agent Nao Takeuchi, Tomoko Koda (OIT), Miho Hotta (KINDAI) CNR2023-25 HCS2023-87 |
In this study, we developed an interview training system in which a virtual agent provides feedback on improvements in i... [more] | CNR2023-25 HCS2023-87 pp.96-101 |
| 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] |
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