The potential of technology in facilitating positive stress experiences

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Abstract

    The positive side of stress, eustress, has remained an understudied area in psychology, health technology and HCI. Based on 21 qualitative interviews with entrepreneurs on their positive stress experiences, we aim at providing implications for technology-supported service design. First, we shed light on the current role of technology in experiencing positive stress in the everyday work-related situations of entrepreneurs. Second, the potential of technology is assessed by analysing entrepreneurs' mind-sets and the ways of working which they perceive as enablers for eustress and which could be facilitated by novel technological solutions. Our findings show that the potential of technology for supporting eustress includes areas such as co-creation and collaboration, planning and scheduling, togetherness and shared success, the means for mental preparing and ways to recover.
    Original languageEnglish
    Title of host publicationECCE '15 Proceedings of the European Conference on Cognitive Ergonomics 2015
    PublisherAssociation for Computing Machinery ACM
    ISBN (Print)978-1-4503-3612-3
    DOIs
    Publication statusPublished - 2015
    MoE publication typeA4 Article in a conference publication
    Event33rd European Conference on Cognitive Ergonomics, ECCE 2015 - Warsaw, Poland
    Duration: 1 Jul 20153 Jul 2015
    Conference number: 33

    Conference

    Conference33rd European Conference on Cognitive Ergonomics, ECCE 2015
    Abbreviated titleECCE 2015
    CountryPoland
    CityWarsaw
    Period1/07/153/07/15

    Keywords

    • positive side of stress
    • eustress

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  • Cite this

    Heikkilä, P., Ainasoja, M., & Oksman, V. (2015). The potential of technology in facilitating positive stress experiences. In ECCE '15 Proceedings of the European Conference on Cognitive Ergonomics 2015 [27] Association for Computing Machinery ACM. https://doi.org/10.1145/2788412.2788441