論文

査読有り
2020年

Estimating children’s personalities through their interaction activities with a tele-operated robot

Journal of Robotics and Mechatronics
  • Kasumi Abe
  • ,
  • Takayuki Nagai
  • ,
  • Chie Hieida
  • ,
  • Takashi Omori
  • ,
  • Masahiro Shiomi

32
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
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
  • DOI : 10.20965/jrm.2020.p0021
  • ISSN : 0915-3942
  • eISSN : 1883-8049
  • DBLP ID : journals/jrm/AbeNHOS20
  • SCOPUS ID : 85079904295

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