Title |
Impressions of Humanness for Android Robot may Represent an Endophenotype for Autism Spectrum Disorders
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Published in |
Journal of Autism and Developmental Disorders, October 2017
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DOI | 10.1007/s10803-017-3365-0 |
Pubmed ID | |
Authors |
Hirokazu Kumazaki, Zachary Warren, Amy Swanson, Yuichiro Yoshikawa, Yoshio Matsumoto, Hiroshi Ishiguro, Nilanjan Sarkar, Yoshio Minabe, Mitsuru Kikuchi |
Abstract |
Identification of meaningful endophenotypes may be critical to unraveling the etiology and pathophysiology of autism spectrum disorders (ASD). We investigated whether impressions of "humanness" for android robot might represent a candidate characteristic of an ASD endophenotype. We used a female type of android robot with an appearance similar to that of a real person. Significant differences in overall impressions of 'humanness' for android robot were found between adolescents with ASD and typical development (TD) controls, as well as parents of children with ASD and parents of TD controls. Our current work does suggest robotic systems could potentially play an intelligent role in dissecting ASD heterogeneity. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 76 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 11 | 14% |
Student > Doctoral Student | 9 | 12% |
Researcher | 8 | 11% |
Student > Bachelor | 7 | 9% |
Student > Ph. D. Student | 7 | 9% |
Other | 5 | 7% |
Unknown | 29 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 16 | 21% |
Nursing and Health Professions | 7 | 9% |
Computer Science | 5 | 7% |
Engineering | 4 | 5% |
Social Sciences | 3 | 4% |
Other | 7 | 9% |
Unknown | 34 | 45% |