Attention Regulation Framework
03 medical and health sciences
0302 clinical medicine
DOI:
10.1145/3359593
Publication Date:
2019-11-04T14:04:16Z
AUTHORS (4)
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.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (130)
CITATIONS (31)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....