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

TY - GEN

T1 - Supporting Anxiety Patients' Self-Reflection through Visualization of Physiological Data.

AU - Elsborg, Mette

AU - Bruun, Anders

AU - Jensen, Rikke Hagensby

N1 - Publisher Copyright: © 2020 Owner/Author.

PY - 2020/12/2

Y1 - 2020/12/2

N2 - 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.

AB - 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.

KW - Anxiety

KW - Field Study

KW - GSR

KW - mHealth

KW - Sensor

KW - Visualization

UR - http://www.scopus.com/inward/record.url?scp=85101769906&partnerID=8YFLogxK

U2 - 10.1145/3441000.3441037

DO - 10.1145/3441000.3441037

M3 - Article in proceedings

AN - SCOPUS:85101769906

SP - 742

EP - 747

BT - Proceedings of the 32nd Australian Computer-Human Interaction Conference, OzCHI 2020

A2 - Ahmadpour, Naseem

A2 - Leong, Tuck

A2 - Ploderer, Bernd

A2 - Parker, Callum

A2 - Webber, Sarah

A2 - Munoz, Diego

A2 - Loke, Lian

A2 - Tomitsch, Martin

PB - Association for Computing Machinery, Inc.

T2 - 32nd Australian Computer-Human Interaction Conference, OzCHI 2020

Y2 - 2 December 2020 through 4 December 2020

ER -