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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); EU collection
        Language
        English
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        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
        URI
        http://library.oapen.org/handle/20.500.12657/23796
        Keywords
        speech processing; speech automata; assistive robots; robot companions; human-robot interaction
        DOI
        10.1515/9781614515159.207
        ISBN
        9781614517092; 9781614519607
        OCN
        1135846156
        Publisher
        De Gruyter
        Publisher website
        https://www.degruyter.com/
        Publication date and place
        Berlin/Boston, 2014
        Grantor
        • FP7 Ideas: European Research Council - 338164 - IHEARU Research grant informationFind all documents
        Classification
        Engineering: general
        Computing and Information Technology
        Digital signal processing (DSP)
        Rights
        All rights reserved
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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