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Understanding Morning Emotions by Analyzing Daily Wake-Up Alarm Usage: Longitudinal Observational Study
Kyue Taek Oh1, Jisu Ko2, Nayoung Jin2
1Department of Human-Computer Interaction, University of Hanyang, Ansan, Gyeonggi-do, Republic of Korea.
JMIR Human Factors
|November 29, 2024
Summary
Morning alarm usage patterns influence daily emotions. Alarm set times and deactivation speed correlate with feelings like peacefulness, refreshment, nervousness, and happiness, offering new monitoring methods.
Area of Science:
- Psychology
- Human-Computer Interaction
- Digital Health
Background:
- Morning emotions significantly impact daily well-being.
- Traditional emotion monitoring relies on time-consuming surveys.
- Novel methods are needed for efficient emotional assessment.
Purpose of the Study:
- To investigate the relationship between daily alarm usage patterns and morning emotions.
- To identify specific alarm behaviors associated with different emotional states.
Main Methods:
- Recruited 373 Alarmy app users from the US and South Korea.
- Collected demographics, usual behaviors, and 2-week morning emotion self-reports.
- Analyzed alarm app logs and used generalized estimating equations (GEE) for statistical analysis.
Main Results:
- Varied alarm usage correlates with morning emotions.
- Earlier alarm set times linked to peacefulness and refreshment.
- Task-based alarms associated with nervousness; longer deactivation times negatively correlated with happiness.
Conclusions:
- Daily alarm usage patterns are demonstrably linked to morning emotions.
- Alarm app logs offer a supplementary, less burdensome method for emotion monitoring.
- Findings suggest leveraging digital behavioral data for mental wellness insights.
