Self-administered questionnaires enhance emotion estimation of individuals with autism spectrum disorders in a robotic interview setting

Self-administered questionnaires enhance emotion estimation of individuals with autism spectrum disorders in a robotic interview setting

BackgroundRobots offer many unique opportunities for helping individuals with autism spectrum disorders (ASD). Determining the optimal motion of robots when interacting with individuals with ASD is important for achieving more natural human-robot interactions and for exploiting the full potential of...

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Bibliographic Details
Main Authors:	Shunta Konishi, Masaki Kuwata, Yoshio Matsumoto, Yuichiro Yoshikawa, Keiji Takata, Hideyuki Haraguchi, Azusa Kudo, Hiroshi Ishiguro, Hirokazu Kumazaki
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-02-01
Series:	Frontiers in Psychiatry
Subjects:	autism spectrum disorders machine learning self-administered questionnaire affective state automated estimation
Online Access:	https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1249000/full

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