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An Exploratory Study on Bridging Biometric Insights to Emotional Well-Being
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Author (aut): Chen, Lilian Zhaotong
Thesis advisor (ths): Barcham, Manuhuia
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Abstract |
Abstract
This research explores how interaction design can support mental wellness by enabling mindful interpretation of biometric data collected from electronic devices. Real-time physical signals—such as heart rate, temperature, and posture—are used to surface overlooked links between bodily symptoms and emotional states. The goal is to help users form intentional habits that foster self-awareness and emotional resilience.
Using a practice-based methodology, the study combines iterative prototype development with qualitative interviews. The prototypes visualize biometric data in intuitive ways to provide actionable insights, while participant interviews examine how these interactions affect users' mental awareness and behavioural patterns. The research addresses two core questions: How do embodied interactions within physical and digital environments collectively shape and influence actions and behaviours? And how can biometric data foster a mindful connection between users and their senses?
This work emphasizes the interplay between environment, interface, and personal insight, highlighting how adjustable and non-adjustable environmental factors affect users' engagement with their data. It advances the fields of interaction design and health informatics by reframing biometric data not merely as health metrics, but as emotional cues. By turning abstract signals into tangible experiences, this research encourages users to interpret their body's responses with compassion, ultimately supporting emotional self-regulation and well-being. |
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55 pages
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1
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55
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Reformatting Quality
access
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born digital
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Use and Reproduction
This thesis is available to view and copy for research and educational purposes only, provided that it is not altered in any way and is properly acknowledged, including citing the author(s), title and full bibliographic details
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Rights Statement
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Keywords
Biometric Data
Embodied interaction
Quantified Self (QS)
Symptom diagnosis
Physical and digital environments
User Experience (UX)
Interaction design
Concept design
Emotional awareness
Behavior change
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Cite this
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English
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An Exploratory Study on Bridging Biometric In_Chen Lilian Zhaotong.pdf
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application/pdf
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5532102
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