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            Chapter 8 Voice-enabled assistive robots for handling autism spectrum conditions

            an examination of the role of prosody

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            Author(s)
            Marchi, Erik
            Ringeval, Fabien
            Schuller , Björn
            Contributor(s)
            Neustein, Amy (editor)
            Collection
            European Research Council (ERC)
            Language
            English
            Show full item record
            Abstract
            Autism spectrum conditions (ASC) are neurodevelopmental conditions, characterized by impairments in social interaction, communication (i.e., verbal and non-verbal language), and by restricted interests and repetitive behaviour. The application of robots as a therapy tool has, however, shown promising results, namely because of the robot’s ability to improve social engagement by eliciting appropriate social behaviour in children with ASC. Robots can also help clinicians in the diagnosis of ASC, by providing objective measurements of atypical behaviours that are collected during spontaneous interactions between autistic children and automata. In this chapter, we provide a review of real-life examples of voice-enabled assistive robots in the context of ASC, examining the critical role prosody plays in compensating for the lack of robust speech recognition in the population of children with ASC. This is followed by a critical analysis of some of the limitations of speech technology in the use of socially assistive robotics for young persons suffering from ASC.
            Book
            Speech and Automata in Health Care; Speech and Automata in Health Care
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/152681
            Keywords
            speech processing; speech automata; assistive robots; robot companions; human-robot interaction; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general; thema EDItEUR::U Computing and Information Technology; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYS Digital signal processing (DSP)
            DOI
            10.1515/9781614515159.207
            ISBN
            9781614517092; 9781614519607
            Publisher
            De Gruyter
            Publisher website
            http://www.degruyter.com/
            Publication date and place
            Berlin/Boston, 2014
            Grantor
            • FP7 Ideas: European Research Council
            • OAPEN harvesting collection

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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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