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Paper Number
1377
Paper Type
Complete
Abstract
Considering the increase in mental health awareness and the scarcity of mental health professionals, mobile health technologies (mHealth) have become important tools for maintaining and improving individuals’ mental wellbeing. Specifically, mHealth targeting Emotion Regulation (ER) has the potential to improve individuals’ mental wellbeing. Despite this potential, it remains unclear how ER develops over time and how ER can be supported during mHealth use. Simultaneously, the widespread adoption of mHealth generates vast amounts of longitudinal digital trace data. Leveraging this real-world usage data and analyzing it based on ER literature offers unique perspectives into digitally supported ER. This study draws on a single case study, grounded in digital trace data to develop a first conceptualization of digitally supported ER. Our findings contribute to academic discourses on ER and mHealth providing insights into how ER develops during mHealth use to achieve ER flexibility and mental wellbeing.
Recommended Citation
Pieper, Mechthild; Rehse, Jana Rebecca; and Fallon, Monica, "Digitally Supported Emotion Regulation A Conceptualization Based on Trace Data Analysis of mHealth Use" (2024). ICIS 2024 Proceedings. 8.
https://aisel.aisnet.org/icis2024/ishealthcare/ishealthcare/8
Digitally Supported Emotion Regulation A Conceptualization Based on Trace Data Analysis of mHealth Use
Considering the increase in mental health awareness and the scarcity of mental health professionals, mobile health technologies (mHealth) have become important tools for maintaining and improving individuals’ mental wellbeing. Specifically, mHealth targeting Emotion Regulation (ER) has the potential to improve individuals’ mental wellbeing. Despite this potential, it remains unclear how ER develops over time and how ER can be supported during mHealth use. Simultaneously, the widespread adoption of mHealth generates vast amounts of longitudinal digital trace data. Leveraging this real-world usage data and analyzing it based on ER literature offers unique perspectives into digitally supported ER. This study draws on a single case study, grounded in digital trace data to develop a first conceptualization of digitally supported ER. Our findings contribute to academic discourses on ER and mHealth providing insights into how ER develops during mHealth use to achieve ER flexibility and mental wellbeing.
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