2020年
Estimating children’s personalities through their interaction activities with a tele-operated robot
Journal of Robotics and Mechatronics
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- 巻
- 32
- 号
- 1
- 開始ページ
- 21
- 終了ページ
- 31
- 記述言語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.20965/jrm.2020.p0021
© 2020, Fuji Technology Press. All rights reserved. Based on the little big-five inventory, we developed a technique to estimate children’s personalities through their interaction with a tele-operated childcare robot. For personality estimation, our approach observed not only distance-based but also face-image-based features when a robot interacted with a child at a close distance. We used only the robot’s sensors to track the child’s positions, detect its eye contact, and estimate how much it smiled. We collected data from a kindergarten, where each child individually interacted for 30 min with a robot that was controlled by the teachers. We used 29 datasets of the interaction between a child and the robot to investigate whether face-image-based features improved the performance of personality estimation. The evaluation results demonstrated that the face-image-based features significantly improved the performance of personality estimation, and the accuracy of the personality estimation of our system was 70% on average for the personality scales.
- リンク情報
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- DOI
- https://doi.org/10.20965/jrm.2020.p0021
- DBLP
- https://dblp.uni-trier.de/rec/journals/jrm/AbeNHOS20
- Scopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85079904295&origin=inward
- Scopus Citedby
- https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85079904295&origin=inward
- URL
- https://dblp.uni-trier.de/db/journals/jrm/jrm32.html#AbeNHOS20
- ID情報
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- DOI : 10.20965/jrm.2020.p0021
- ISSN : 0915-3942
- eISSN : 1883-8049
- DBLP ID : journals/jrm/AbeNHOS20
- SCOPUS ID : 85079904295