Supporting Anxiety Patients' Self-Reflection through Visualization of Physiological Data

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Abstrakt

Anxiety patients are often constrained in daily life to an extent where they experience severe difficulties in keeping a job or being with family, hereby leading to a decreased quality of life. Self-reflecting on emotional reactions during daily life activities is a critical part of anxiety treatment, and can lead to increased self-awareness and eventually behavior change to cope with the disorders. mHealth technologies have emerged as a means to improve effectiveness of treatment for mental disorders, yet few studies have utilized real-time data from physiological sensors to support self-reflection on emotions. We conducted a study with two anxiety patients and their psychiatrists to explore their experiences of using GSR sensor data as visual cues to support daily self-reflection on anxiety episodes. We contribute with findings indicating that GSR visualization as part of anxiety treatment can support patients in confirming episodes. Furthermore, we present design considerations for such visualizations.

OriginalsprogEngelsk
Titel32nd Australian conference on Human-Computer Interaction
ForlagAssociation for Computing Machinery
Publikationsdato10 dec. 2020
Sider742–747
ISBN (Trykt)9781450389754
DOI
StatusUdgivet - 10 dec. 2020
BegivenhedOzCHI '20: 32nd Australian Conference on Human-Computer Interaction - Sydney, Australien
Varighed: 1 dec. 20201 dec. 2020

Konference

KonferenceOzCHI '20: 32nd Australian Conference on Human-Computer Interaction
LandAustralien
BySydney
Periode01/12/202001/12/2020

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