Embodied conversational agents for multimodal automated social skills training in people with autism spectrum disorders
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| Publicat a: | PLoS One vol. 12, no. 8 (Aug 2017), p. e0182151 |
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| Autor principal: | |
| Altres autors: | , , |
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Public Library of Science
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| Accés en línia: | Citation/Abstract Full Text Full Text - PDF |
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| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 1927793378 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1932-6203 | ||
| 024 | 7 | |a 10.1371/journal.pone.0182151 |2 doi | |
| 035 | |a 1927793378 | ||
| 045 | 2 | |b d20170801 |b d20170831 | |
| 084 | |a 174835 |2 nlm | ||
| 100 | 1 | |a Tanaka, Hiroki | |
| 245 | 1 | |a Embodied conversational agents for multimodal automated social skills training in people with autism spectrum disorders | |
| 260 | |b Public Library of Science |c Aug 2017 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Social skills training, performed by human trainers, is a well-established method for obtaining appropriate skills in social interaction. Previous work automated the process of social skills training by developing a dialogue system that teaches social communication skills through interaction with a computer avatar. Even though previous work that simulated social skills training only considered acoustic and linguistic information, human social skills trainers take into account visual and other non-verbal features. In this paper, we create and evaluate a social skills training system that closes this gap by considering the audiovisual features of the smiling ratio and the head pose (yaw and pitch). In addition, the previous system was only tested with graduate students; in this paper, we applied our system to children or young adults with autism spectrum disorders. For our experimental evaluation, we recruited 18 members from the general population and 10 people with autism spectrum disorders and gave them our proposed multimodal system to use. An experienced human social skills trainer rated the social skills of the users. We evaluated the system’s effectiveness by comparing pre- and post-training scores and identified significant improvement in their social skills using our proposed multimodal system. Computer-based social skills training is useful for people who experience social difficulties. Such a system can be used by teachers, therapists, and social skills trainers for rehabilitation and the supplemental use of human-based training anywhere and anytime. | |
| 651 | 4 | |a Japan | |
| 653 | |a Teaching | ||
| 653 | |a International conferences | ||
| 653 | |a Behavior | ||
| 653 | |a Visual perception | ||
| 653 | |a Public speaking | ||
| 653 | |a Communication | ||
| 653 | |a Autism | ||
| 653 | |a Training | ||
| 653 | |a Speaking | ||
| 653 | |a Feedback | ||
| 653 | |a Cognition & reasoning | ||
| 653 | |a Social skills | ||
| 653 | |a Computers | ||
| 653 | |a Social interaction | ||
| 653 | |a Children | ||
| 653 | |a Computer assisted instruction--CAI | ||
| 653 | |a Frequency | ||
| 653 | |a Rehabilitation | ||
| 653 | |a Young adults | ||
| 653 | |a Acoustics | ||
| 653 | |a Sensory integration | ||
| 653 | |a Social | ||
| 653 | |a Information science | ||
| 653 | |a Conversation | ||
| 653 | |a Graduate students | ||
| 653 | |a Skill development | ||
| 653 | |a Automation | ||
| 653 | |a Therapists | ||
| 653 | |a Teachers | ||
| 653 | |a Work skills | ||
| 653 | |a Scores | ||
| 653 | |a Social behavior | ||
| 653 | |a College students | ||
| 653 | |a Pitch | ||
| 653 | |a Trainers | ||
| 653 | |a Humans | ||
| 653 | |a Human-computer interaction | ||
| 653 | |a Computer mediated communication | ||
| 653 | |a Communication skills | ||
| 653 | |a Multimodality | ||
| 653 | |a Interpersonal communication | ||
| 653 | |a Autistic children | ||
| 653 | |a Disorders | ||
| 653 | |a Skills | ||
| 653 | |a Autistic adults | ||
| 653 | |a Adults | ||
| 653 | |a Social education | ||
| 653 | |a Pitch (inclination) | ||
| 653 | |a Avatars | ||
| 700 | 1 | |a Negoro, Hideki | |
| 700 | 1 | |a Iwasaka, Hidemi | |
| 700 | 1 | |a Nakamura, Satoshi | |
| 773 | 0 | |t PLoS One |g vol. 12, no. 8 (Aug 2017), p. e0182151 | |
| 786 | 0 | |d ProQuest |t Health & Medical Collection | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/1927793378/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/1927793378/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/1927793378/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |