Evidence map›Paper›PMID 39612499›Full record

Observational studyJMIR human factors2024

Understanding Morning Emotions by Analyzing Daily Wake-Up Alarm Usage: Longitudinal Observational Study.

Kyue Taek Oh, Jisu Ko, Nayoung Jin, Sangbin Han, Chan Yul Yoon, Jaemyung Shin, Minsam Ko

Abstract readObservational Study
In one paragraph

Observational study in JMIR human factors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Kyue Taek Oh *Department of Human-Computer Interaction, University of Hanyang, Ansan, Gyeonggi-do, Republic of Korea.ORCID 0000-0002-4677-0954
Jisu Ko *Department of Applied Artificial Intelligence, University of Hanyang, Ansan, Republic of Korea.ORCID 0000-0003-4645-094X
Nayoung JinDepartment of Applied Artificial Intelligence, University of Hanyang, Ansan, Republic of Korea.ORCID 0009-0002-4941-4418
Sangbin HanSeoul Asan Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-0203-0751
Chan Yul YoonDelightroom, Seoul, Republic of Korea.ORCID 0009-0009-7640-5833
Jaemyung ShinDelightroom, Seoul, Republic of Korea.ORCID 0000-0002-5894-0498
Minsam KoDepartment of Human-Computer Interaction, University of Hanyang, Ansan, Gyeonggi-do, Republic of Korea.ORCID 0000-0001-5525-7725

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMorning emotions can significantly affect daily wellness. While many studies have analyzed daily survey responses to identify factors influencing morning emotions, these methods require additional time and effort from individuals for emotional monitoring.

objectiveThis study aims to identify daily alarm usage patterns related to morning emotions.

methodsWe recruited 373 users of the Alarmy app (DelightRoom) in the United States and South Korea and surveyed their demographics and usual behaviors related to morning emotions. Participants described their morning emotions over a 2-week period, during which we collected daily alarm app logs. We used a generalized estimating equation (GEE) method to identify factors affecting morning emotions.

resultsThe findings indicate that varied alarm usage is related to morning emotions. Alarm set time was positively associated with feelings of peacefulness and refreshment in the morning, while task-based alarms were related to nervousness. The time taken to deactivate the alarm after it rang was negatively correlated with happiness. In addition, usual behaviors and demographic factors were found to be related to morning emotions, consistent with previous studies.

conclusionsThe study reveals that daily alarm usage is related to morning emotions, suggesting that daily alarm logs can supplement survey methods to facilitate daily emotion monitoring.

Indexed as

EmotionsAdultFemaleHumansLongitudinal StudiesMaleMiddle AgedMobile ApplicationsRepublic of KoreaSurveys and QuestionnairesUnited Statesemotion monitoringlongitudinal observational studymorning contextmorning emotionwake-up alarm usage

Identifiers

PMID39612499
PMCPMC11645505

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.