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VeatherReflect: Employing Weather as Qualitative Representation of Stress Data in Virtual Reality

Published: 10 July 2023 Publication History

Abstract

While personal trackers can collect a vast amount of information about their users, the representation of such data has remained unchanged, with bar charts being the most dominant. However, to build systems that facilitate reflection and support well-being, it is crucial to explore alternative ways of representation. Thus, we designed VeatherReflect, a VR application that uses weather metaphors to illustrate tracker stress scores, aiming to encourage users to reflect on their stress data. In a pre-study, we mapped stress scores to weather states. We then compared VeatherReflect with a standard visualisation of stress data presented in VR. VeatherReflect increased participant engagement with personal data and stress awareness. Participants reported reflective insights for stress-reducing behaviour. We contribute findings on how virtual weather as a metaphor for stress can support reflection. We discuss design recommendations for VR applications aiming to facilitate a deeper understanding of complex personal data through engaging qualitative experiences.

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  • (2024)Narrating Fitness: Leveraging Large Language Models for Reflective Fitness Tracker Data InterpretationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642032(1-16)Online publication date: 11-May-2024
  • (2024)RainMind: Investigating Dynamic Natural Soundscape of Physiological Data to Promote Self-Reflection for Stress ManagementInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2364468(1-18)Online publication date: 27-Jun-2024

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    DIS '23: Proceedings of the 2023 ACM Designing Interactive Systems Conference
    July 2023
    2717 pages
    ISBN:9781450398930
    DOI:10.1145/3563657
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    1. Fitness Tracker
    2. Personal Informatics
    3. Reflection
    4. Stress
    5. Virtual Reality
    6. Visualisation
    7. Well-being

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    • (2024)Narrating Fitness: Leveraging Large Language Models for Reflective Fitness Tracker Data InterpretationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642032(1-16)Online publication date: 11-May-2024
    • (2024)RainMind: Investigating Dynamic Natural Soundscape of Physiological Data to Promote Self-Reflection for Stress ManagementInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2364468(1-18)Online publication date: 27-Jun-2024

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