2020年
Investigation of robot expression style in human-robot interaction
Journal of Robotics and Mechatronics
- ,
- ,
- 巻
- 32
- 号
- 1
- 開始ページ
- 224
- 終了ページ
- 235
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.20965/jrm.2020.p0224
- 出版者・発行元
- Fuji Technology Press Ltd.
In our daily conversation, we obtain considerable information from our interlocutor’s non-verbal behaviors, such as gaze and gestures. Several studies have shown that nonverbal messages are prominent factors in smoothing the process of human-robot interaction. Our previous studies have shown that not only a robot’s appearance but also its gestures, tone, and other nonverbal factors influence a person’s impression of it. The paper presented an analysis of the impressions made when human motions are implemented on a humanoid robot, and experiments were conducted to evaluate impressions made by robot expressions to analyze the sensations. The results showed the relation between robot expression patterns and human preferences. To further investigate biofeedback elicited by different robot styles of expression, a scenario-based experiment was done. The results revealed that people’s emotions can definitely be affected by robot behavior, and the robot’s way of expressing itself is what most influences whether or not it is perceived as friendly. The results show that it is potentially useful to combine our concept into a robot system to meet individual needs.
- リンク情報
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- DOI
- https://doi.org/10.20965/jrm.2020.p0224
- DBLP
- https://dblp.uni-trier.de/rec/journals/jrm/HsiehSY20
- CiNii Articles
- http://ci.nii.ac.jp/naid/130007800512
- CiNii Books
- http://ci.nii.ac.jp/ncid/AA10809998
- Scopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85079877371&origin=inward
- Scopus Citedby
- https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85079877371&origin=inward
- URL
- http://id.ndl.go.jp/bib/030255541
- ID情報
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- DOI : 10.20965/jrm.2020.p0224
- ISSN : 0915-3942
- eISSN : 1883-8049
- DBLP ID : journals/jrm/HsiehSY20
- CiNii Articles ID : 130007800512
- CiNii Books ID : AA10809998
- SCOPUS ID : 85079877371