A pilot study for robot appearance preferences among high-functioning individuals with autism spectrum disorder: Implications for therapeutic use.

Journal: PloS one
Published Date:

Abstract

Recent rapid technological advances have enabled robots to fulfill a variety of human-like functions, leading researchers to propose the use of such technology for the development and subsequent validation of interventions for individuals with autism spectrum disorder (ASD). Although a variety of robots have been proposed as possible therapeutic tools, the physical appearances of humanoid robots currently used in therapy with these patients are highly varied. Very little is known about how these varied designs are experienced by individuals with ASD. In this study, we systematically evaluated preferences regarding robot appearance in a group of 16 individuals with ASD (ages 10-17). Our data suggest that there may be important differences in preference for different types of robots that vary according to interaction type for individuals with ASD. Specifically, within our pilot sample, children with higher-levels of reported ASD symptomatology reported a preference for specific humanoid robots to those perceived as more mechanical or mascot-like. The findings of this pilot study suggest that preferences and reactions to robotic interactions may vary tremendously across individuals with ASD. Future work should evaluate how such differences may be systematically measured and potentially harnessed to facilitate meaningful interactive and intervention paradigms.

Authors

  • Hirokazu Kumazaki
    Department of Clinical Research on Social Recognition and Memory, Research Center for Child Mental Development, Kanazawa University, Ishikawa, Japan.
  • Zachary Warren
    Department of Pediatrics, Psychiatry, and Special Education, Vanderbilt Kennedy Center, Treatment and Research Institute for Autism Spectrum Disorders, Vanderbilt University, 230 Appleton Pl., Nashville, TN, 37206, USA. zachary.warren@vanderbilt.edu.
  • Taro Muramatsu
    Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
  • Yuichiro Yoshikawa
    Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, Osaka, 560-8531, Japan.
  • Yoshio Matsumoto
    Service Robotics Research Group, Intelligent Systems Institute, National Institute of Advanced Industrial Science and Technology, Ibaraki, Japan.
  • Masutomo Miyao
    Department of Psychosocial Medicine, National Center for Child Health and Development, Tokyo, Japan.
  • Mitsuko Nakano
    Department of Psychosocial Medicine, National Center for Child Health and Development, Tokyo, Japan.
  • Sakae Mizushima
    Department of Psychosocial Medicine, National Center for Child Health and Development, Tokyo, Japan.
  • Yujin Wakita
    Service Robotics Research Group, Intelligent Systems Institute, National Institute of Advanced Industrial Science and Technology, Ibaraki, Japan.
  • Hiroshi Ishiguro
  • Masaru Mimura
    Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
  • Yoshio Minabe
    Department of Clinical Research on Social Recognition and Memory, Research Center for Child Mental Development, Kanazawa University, Ishikawa, Japan.
  • Mitsuru Kikuchi
    Department of Clinical Research on Social Recognition and Memory, Research Center for Child Mental Development, Kanazawa University, Ishikawa, Japan.