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

Immersion & Presence ResearchVisualization Perception & CognitionSleep & Stress MonitoringAthletes & Fitness EnthusiastsPersonal Trainers & Fitness CoachesHCI Researchers

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, \black{}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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https://hci.top/en/papers/dis/118094/2023

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Source
DIS
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Year
2023
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5 authors
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Subtopics
Immersion & Presence Research, Visualization Perception & Cognition, Sleep & Stress Monitoring
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Athletes & Fitness Enthusiasts, Personal Trainers & Fitness Coaches, HCI Researchers
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Abstract only
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