Project INSIDE: towards autonomous semi-unstructured human-robot social interaction in autism therapy
Autor: | Rodrigo Ventura, Daniel Faustino de Noronha Osório, Jhielson M. Pimentel, Luís Luz, Francisco S. Melo, Plinio Moreno, Miguel Faria, Mithun Kinarullathil, David Belo, Pedro U. Lima, Alberto Sardinha, Pedro Sequeira, Miguel Vasco, Rubén Solera-Ureña, Anabela Farias, Marta Couto, Hugo Gamboa, Andre Mateus, Cátia Jesus, Ana Paiva, João Rodrigues, Manuela Veloso, Isabel Melo |
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Rok vydání: | 2017 |
Předmět: |
Computer science
Autism Spectrum Disorder Medicine (miscellaneous) Human–robot interaction 03 medical and health sciences 0302 clinical medicine Software Artificial Intelligence Human–computer interaction medicine Humans Interpersonal Relations Design methods 030304 developmental biology 0303 health sciences business.industry Mobile robot Robotics Autonomous robot medicine.disease Robot Autism Artificial intelligence business 030217 neurology & neurosurgery |
Zdroj: | Artificial intelligence in medicine. 96 |
ISSN: | 1873-2860 |
Popis: | This paper describes the INSIDE system, a networked robot system designed to allow the use of mobile robots as active players in the therapy of children with autism spectrum disorders (ASD). While a significant volume of work has explored the impact of robots in ASD therapy, most such work comprises remotely operated robots and/or well-structured interaction dynamics. In contrast, the INSIDE system allows for complex, semi-unstructured interaction in ASD therapy while featuring a fully autonomous robot. In this paper we describe the hardware and software infrastructure that supports such rich form of interaction, as well as the design methodology that guided the development of the INSIDE system. We also present some results on the use of our system both in pilot and in a long-term study comprising multiple therapy sessions with children at Hospital Garcia de Orta, in Portugal, highlighting the robustness and autonomy of the system as a whole. |
Databáze: | OpenAIRE |
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