Toddler Temperament Estimation from Robot Interaction Data
2024年1月1日
·
1 min read
Through explainable machine learning (XAI), we analyze behavioral data from child-robot interactions to estimate toddlers’ temperament and personality. By clarifying in which interaction styles or scenarios individual differences emerge most strongly, we aim to support developmental and educational applications of robots tailored to each child.
Related papers:
- Taiga Sano, Takato Horii, Kasumi Abe, Takayuki Nagai. “Temperament Estimation of Toddlers from Child-Robot Interaction with Explainable Artificial Intelligence”. Advanced Robotics, 35(17), 1068-1077, 2021.
Authors
Takato Horii
(he/him)
Associate Professor
Associate Professor at Graduate School of Engineering Science, Osaka University.
Research interests include cognitive developmental robotics, computational modeling
of emotional development, and human-robot interaction.