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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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