Ecological momentary assessment using smartphone-based mobile application for affect and stress assessment

Yong Sook Yang, Gi Wook Ryu, Insu Han, Seojin Oh, Mona Choi

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


Objectives: This study aimed to describe the process of utilizing a mobile application for ecological momentary assessment (EMA) to collect data on stress and mood in daily life setting. Methods: A mobile application for the Android operating system was developed and installed with a set of questions regarding momentary mood and stress into a smartphone of a participant. The application sets alarms at semi-random intervals in 60-minute blocks, four times a day for 7 days. After obtaining all momentary affect and stress, the questions to assess the usability of the mobile EMA application were also administered. Results: The data were collected from 97 police officers working in Gyeonggi Province of South Korea. The mean completion rate was 60.0% ranging from 3.5% to 100%. The means of positive and negative affect were 18.34 of 28 and 19.09 of 63. The mean stress was 17.92 of 40. Participants responded that the mobile application correctly measured their affect (4.34 ± 0.83) and stress (4.48 ± 0.62) of 5-point Likert scale. Conclusions: Our study investigated the process of utilizing a mobile application to assess momentary affect and stress at repeated times. We found challenges regarding adherence to the research protocol, such as completion and delay of answering after alarm notification. Despite this inherent issue of adherence to the research protocol, the EMA still has advantages of reducing recall bias and assessing the actual moment of interest at multiple time points that improves ecological validity.

Original languageEnglish
Pages (from-to)381-386
Number of pages6
JournalHealthcare Informatics Research
Issue number4
Publication statusPublished - 2018 Oct

Bibliographical note

Funding Information:
This research was supported by Basic Science Research Program through the National Foundation of Korea (NRF) funded by the Ministry of Education (No. 2017R1D-1A1B03030706).

Publisher Copyright:
© 2018 The Korean Society of Medical Informatics.

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management


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