Now showing 1 - 2 of 2
  • Publication
    Design and Evaluation of a Mobile Chat App for the Open Source Behavioral Health Intervention Platform MobileCoach
    (Springer International Publishing - Springer, 2017) ; ;
    Shih, Iris
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    Rüegger, Dominik
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    Künzler, Florian
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    Barata, Filipe
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    Büchter, Dirk
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    Brogle, Björn
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    Heldt, Katrin
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    Gindrat, Pauline
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    Farpour-Lambert, Nathalie
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    l’Allemand, Dagmar
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    Maedche, Alexander
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    vom Brocke, Jan
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    Hevner, Alan
    The open source platform MobileCoach (mobile-coach.eu) has been used for various behavioral health interventions in the public health context. However, so far, MobileCoach is limited to text message-based interactions. That is, participants use error-prone and laborious text-input fields and have to bear the SMS costs. Moreover, MobileCoach does not provide a dedicated chat channel for individual requests beyond the processing capabilities of its chatbot. Intervention designers are also limited to text-based self-report data. In this paper, we thus present a mobile chat app with pre-defined answer options, a dedicated chat channel for patients and health professionals and sensor data integration for the MobileCoach platform. Results of a pretest (N = 11) and preliminary findings of a randomized controlled clinical trial (N = 14) with young patients, who participate in an intervention for the treatment of obesity, are promising with respect to the utility of the chat app.
    Scopus© Citations 51
  • Publication
    stressOUT: Design, Implementation and Evaluation of a Mouse-based Stress Management Service
    (Karlsruher Institut für Technologie (KIT), 2017-05-30) ;
    Wahle, Fabian
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    Maedche, Alexander
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    vom Brocke, Jan
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    Hevner, Alan
    Work-related stress has the potential to increase the risk of chronic stress, major depression and other non-communicable diseases. Organizational stress monitoring usually applies long-term self-report instruments that are designed in a retrospective manner, and thus, is obtrusive, time-consuming and, most important, fails to detect and predict short-term episodes of stress. To address this shortcoming, we apply design science research with the goal to design, implement and evaluate a stress management service for knowledge workers (stressOUT) that senses the degree of work-related stress solely based on mouse movements. Using stress theory as justificatory knowledge, we implemented stressOUT that tracks mouse movements and perceived stress levels randomly twice a day with the goal to learn features of mouse movements that are related to stress perceptions. Results of a first longitudinal field study indicate that mouse cursor speed is negatively related to perceived stress. Future work is discussed.