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Technology Personalization in Health Applications for Patients with Autism Spectrum Disorder: Artifact Design and a Controlled Experiment

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Designing for Digital Transformation. Co-Creating Services with Citizens and Industry (DESRIST 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12388))

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Abstract

This study will examine the design of speech conversion techniques to create a personalized voice alert system to improve user compliance and reduce wandering among individuals with autistic spectrum disorder (ASD). Using a controlled experiment with ASD patients, we will evaluate our proposed design feature under different conditions of technological familiarity and disease severity.

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Author information

Authors and Affiliations

  1. Florida International University, Miami, FL, 33199, USA

    Lina Bouayad, Mavara Agrawal, Spurthy Dharanikota & Polina Durneva

  2. James A. Haley Veterans Hospital, Tampa, FL, 33612, USA

    Lina Bouayad

  3. University of South Florida, Tampa, FL, 33199, USA

    Anol Bhattacherjee

Authors
  1. Lina Bouayad
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  2. Anol Bhattacherjee
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  3. Mavara Agrawal
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  4. Spurthy Dharanikota
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  5. Polina Durneva
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Corresponding author

Correspondence to Lina Bouayad .

Editor information

Editors and Affiliations

  1. University of Agder, Kristiansand, Norway

    Sara Hofmann

  2. University of Paderborn, Paderborn, Germany

    Oliver Müller

  3. Aalto University, Aalto, Finland

    Matti Rossi

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Bouayad, L., Bhattacherjee, A., Agrawal, M., Dharanikota, S., Durneva, P. (2020). Technology Personalization in Health Applications for Patients with Autism Spectrum Disorder: Artifact Design and a Controlled Experiment. In: Hofmann, S., Müller, O., Rossi, M. (eds) Designing for Digital Transformation. Co-Creating Services with Citizens and Industry. DESRIST 2020. Lecture Notes in Computer Science(), vol 12388. Springer, Cham. https://doi.org/10.1007/978-3-030-64823-7_8

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  • DOI: https://doi.org/10.1007/978-3-030-64823-7_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64822-0

  • Online ISBN: 978-3-030-64823-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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