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Ring a Bell? Adaptive Auditory Game Feedback to Sustain Performance in Stroke Rehabilitation

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eHealth 360°

Abstract

This paper investigates the effect of adaptive auditory feedback on continued player performance for stroke patients in a reaction time tablet game. The feedback sound pitch followed a saw-tooth shape that cumulatively increased for fast reaction times and flying back to the base pitch after a single slow reaction time. The analysis was based on data obtained in a field trial with lesion patients during their regular rehabilitation. The auditory feedback events were categorized by feedback type (positive/negative) and the associated pitch change of either high or low magnitude. Both feedback type and magnitude significantly affected on players performance. Negative feedback improved patients reaction times in subsequent hits by 0.42 s and positive feedback impaired their performance by 0.15 s.

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Authors and Affiliations

  1. Department of Architecture, Design and Media Technology, Aalborg University, Aalborg, Denmark

    Kasper Hald & Hendrik Knoche

Authors
  1. Kasper Hald
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  2. Hendrik Knoche
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Correspondence to Kasper Hald .

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Editors and Affiliations

  1. Applied Informatics in mHealth, National Technical University of Athens, Zografou, Greece

    Kostas Giokas

  2. Budapest University of Technology, Budapest, Hungary

    Laszlo Bokor

  3. University of Glasgow, Glaswow, United Kingdom

    Frank Hopfgartner

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Hald, K., Knoche, H. (2017). Ring a Bell? Adaptive Auditory Game Feedback to Sustain Performance in Stroke Rehabilitation. In: Giokas, K., Bokor, L., Hopfgartner, F. (eds) eHealth 360°. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-319-49655-9_13

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  • DOI: https://doi.org/10.1007/978-3-319-49655-9_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49654-2

  • Online ISBN: 978-3-319-49655-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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