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Attention Regulation Framework
- Source :
- ACM Transactions on Computer-Human Interaction. 26:1-44
- Publication Year :
- 2019
- Publisher :
- Association for Computing Machinery (ACM), 2019.
-
Abstract
- Mindfulness practices are well-known for their benefits to mental and physical well-being. Given the prevalence of smartphones, mindfulness applications have attracted growing global interest. However, the majority of existing applications use guided meditation that is not adaptable to each user's unique needs or pace. This article proposes a novel framework called Attention Regulation Framework (ARF) , which studies how more flexible and adaptable mindfulness applications could be designed, beyond guided meditation and toward self-regulated meditation. ARF proposes mindfulness interaction design guidelines and interfaces whereby practitioners naturally and constantly bring their attention back to the present moment and develop non-judgmental awareness. This is achieved by the performance of subtle movements, which are supported by non-intrusive detection-feedback mechanisms. We used two design cases to demonstrate ARF in static and kinetic meditation conditions. We conducted four user evaluation studies in unique situations where ARF is particularly effective, vis-à-vis mindfulness practice in busy environments and mindfulness interfaces that adapt to the pace of the user. The studies show that the design cases, compared with guided meditation applications, are more effective in improving attention, mindfulness, mood, well-being, and physical balance. Our work contributes to the development of self-regulated mindfulness technologies.
- Subjects :
- Guided meditation
Mindfulness
media_common.quotation_subject
05 social sciences
020207 software engineering
02 engineering and technology
Interaction design
050105 experimental psychology
Present moment
Human-Computer Interaction
Mood
0202 electrical engineering, electronic engineering, information engineering
0501 psychology and cognitive sciences
Meditation
Psychology
Pace
media_common
Cognitive psychology
Subjects
Details
- ISSN :
- 15577325 and 10730516
- Volume :
- 26
- Database :
- OpenAIRE
- Journal :
- ACM Transactions on Computer-Human Interaction
- Accession number :
- edsair.doi...........7c717e24dc67a841e681a5a90728f53e