Robots for use in autism research.

By Brian Scassellati, Henny Admoni, Maja J. Mataric. Annual Review of Biomedical Engineering, 2012

994 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Occupational Therapy, Social Psychology

View Paper: https://www.semanticscholar.org/paper/94513a4f36ff7c341bef49ecb2ae016d23ef1ba5

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Citations in the corpus

Social eye gaze in human-robot interaction (2017, background): “For robots that act as therapy assistants to children with autism spectrum disorder (ASD), gaze can be a particularly important cue because of the social gaze deﬁcit that is often part of this disorder (Scassellati, Admoni, & Matari´c, 2012).”
Interactions With Robots: The Truths We Reveal About Ourselves (2017, background): “A range of different robots have been used, but these are often controlled by a therapist in the same room and are not autonomous (Scassellati et al. 2012).”
Personalized machine learning for robot perception of affect and engagement in autism therapy (2018, background): “Today, this has been accomplished in the so-called Wizard of Oz (WoZ) scenario (17), in which a therapist or a person “behind the curtain” controls the robot via a set of preprogrammed behaviors and prompts, such as the robot waving at or saying something to the child.”
Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy (2018, positive): “to react positively to robots, even in cases where they have trouble interacting with others [35].”
Improving social skills in children with ASD using a long-term, in-home social robot (2018, background): “Exploratory studies from dozens of research groups have shown that many individuals with ASD enjoy interacting with robots and, in many cases, even demonstrate more appropriate social behaviors with robots than they do with peers or caregivers (10, 11).”
Learning Adaptive Language Interfaces through Decomposition (2020, background): “As robots are deployed in collaborative applications like healthcare and household assistance (Scassellati et al., 2012; Knepper et al., 2013), there is a growing need for reliable human-robot communication.”