Optimal robot for intervention for individuals with autism spectrum disorders

Psychiatry Clin Neurosci. 2020 Nov;74(11):581-586. doi: 10.1111/pcn.13132. Epub 2020 Sep 12.

Abstract

With recent rapid advances in technology, human-like robots have begun functioning in a variety of ways. As increasing anecdotal evidence suggests, robots may offer many unique opportunities for helping individuals with autism spectrum disorders (ASD). Individuals with ASD often achieve a higher degree of task engagement through the interaction with robots than through interactions with human trainees. The type and form of robots to be used for individuals with ASD have been meticulously considered. Simple robots and animal robots are acceptable because of their simplicity and the ease of interesting and engaging interactions. Android robots have the benefit of the potential of generalization into daily life to some extent. Considering the affinity between robots and users is important to draw out the potential capabilities of robotic intervention to the fullest extent. In the robotic condition, factors such as the appearance, biological motion, clothes, hairstyle, and disposition are important. Many factors of a user, such as age, sex, and IQ, may also affect the affinity of individuals with ASD toward a robot. The potential end-users of this technology may be unaware or unconvinced of the potential roles of robots in ASD interventions. If trainers have extensive experience in using robots, they can identify many potential roles of robots based on their experience. To date, only a few studies have been conducted in the field of robotics for providing assistance to individuals with ASD, and future studies are needed to realize an optimal robot for this purpose.

Keywords: affinity; android robot; autism spectrum disorder; potential role; simple robot.

Publication types

  • Review

MeSH terms

  • Autism Spectrum Disorder / rehabilitation*
  • Humans
  • Psychiatric Rehabilitation / instrumentation*
  • Psychiatric Rehabilitation / methods
  • Robotics*