2020年2月
Design and Evaluation of a Spherical Robot with Emotion-Like Feedback during Human-Robot Training - Kansei Design Method Applied to Robot Development -
日本感性工学会論文誌
- ,
- 巻
- 19
- 号
- 1
- 開始ページ
- 105
- 終了ページ
- 116
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.5057/jjske.TJSKE-D-19-00036
- 出版者・発行元
- 日本感性工学会
While robotic assistants capable of automating many a task are becoming more ubiquitous, the complexity and unfamiliarity
of such machines may discourage users from interacting and personalizing their robots. For that reason, the goal of this research is to study how a robot that expresses emotion-like feedback using movement affects the training interaction experience of non-expert users. To that end, a single-eyed spherical robot was developed using a Kansei design approach. A within-subjects experiment, between the robot expressing feedback and a control version that did not, was conducted with participants who had little to no experience interacting with robots. The results showed an increase in arousal when the robot expressed feedback and the overall interaction was considered engaging. Also, a positive correlation between bonding scores and relevance of the task was found. The contributions of this research are toward the development of human-trainable robots with transparent learning behavior.
of such machines may discourage users from interacting and personalizing their robots. For that reason, the goal of this research is to study how a robot that expresses emotion-like feedback using movement affects the training interaction experience of non-expert users. To that end, a single-eyed spherical robot was developed using a Kansei design approach. A within-subjects experiment, between the robot expressing feedback and a control version that did not, was conducted with participants who had little to no experience interacting with robots. The results showed an increase in arousal when the robot expressed feedback and the overall interaction was considered engaging. Also, a positive correlation between bonding scores and relevance of the task was found. The contributions of this research are toward the development of human-trainable robots with transparent learning behavior.
- ID情報
-
- DOI : 10.5057/jjske.TJSKE-D-19-00036
- ISSN : 1884-0833