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Ecological Momentary Assessment Using Smartphone-Based Mobile Application for Affect and Stress Assessment
Yong Sook Yang1, Gi Wook Ryu1, Insu Han2
1College of Nursing, Mo-Im Kim Nursing Research Institute, Yonsei University, Seoul, Korea.
Healthcare Informatics Research
|November 17, 2018
Summary
This study explored using a mobile app for ecological momentary assessment (EMA) to track daily stress and mood in police officers. While adherence challenges exist, EMA offers a valid method to reduce recall bias and capture real-time emotional states.
Area of Science:
- Psychology
- Mobile Health Technology
- Data Collection Methods
Background:
- Ecological momentary assessment (EMA) is valuable for real-time data collection on psychological states.
- Mobile applications offer a feasible platform for delivering EMA in daily life settings.
- Assessing stress and mood in high-stress professions requires accurate and timely data.
Observation:
- A custom Android mobile application was developed for EMA of affect and stress.
- Data were collected from 97 police officers over 7 days using semi-randomized, time-based notifications.
- Usability of the mobile EMA application was assessed post-data collection.
Findings:
- The mobile EMA application demonstrated perceived accuracy in measuring affect and stress.
- A mean completion rate of 60.0% was observed, with significant variability.
- Challenges in adherence, including delayed responses, were identified.
Implications:
- Mobile EMA shows promise for capturing dynamic psychological states, reducing recall bias.
- Addressing adherence issues is crucial for optimizing mobile EMA in research.
- This approach enhances ecological validity in studying stress and mood in occupational settings.
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