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        The Stroop Room

        A Wearable Virtual Reality Stress Laboratory Based on the Electrocardiogram

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        Author(s)
        Gradl, Stefan
        Language
        English
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        Abstract
        According to the World Health Organization, stress-related problems and diseases will be one of the major healthcare problems in this decade. Prolonged exposure to stress has been found to reduce immune system functioning and promote secondary diseases like hypertension, arrhythmias, and stroke. In order to combat this development, the relatively young field of stress research needs tools to assess stress levels and reactivity parameters in large populations to advance research especially with respect to work-related stress management. Existing stress research methods like the Trier Social Stress Test (TSST) are unsuitable for such endeavors, as they cannot easily be applied at scale. This work introduces a wearable, in-the-wild usable stress laboratory approach. Its prototypical implementation, from wearable-based biosignal recording device up to virtual reality-enhanced mobile stress recognition toolbox, can be used to assess and classify stress and the stress response of users within minutes at scale, without requiring complicated and expensive laboratory evaluations.
        URI
        https://library.oapen.org/handle/20.500.12657/109171
        Keywords
        Stress laboratory; Heart rate variability; Virtual reality; Stress; Stress reactions; Electrocardiogram; Heart rate
        DOI
        10.25593/978-3-96147-385-4
        ISBN
        9783961473854, 9783961473854, 9783961473847
        Publisher
        FAU University Press
        Publisher website
        https://www.university-press.fau.de/
        Publication date and place
        Erlangen, 2020
        Series
        FAU Studien aus der Informatik, 14
        Classification
        Virtual reality
        Coping with / advice about stress
        Pages
        224
        Rights
        https://creativecommons.org/licenses/by/4.0/
        • 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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