Sleep-as-Android: Feasibility of Using Sleep Logs on Twitter for Sleep Studies

Fatema Akbar, Ingmar Weber

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Social media enjoys a growing popularity as a platform to seek and share personal health information. For sleep studies using data from social media, most researchers focused on inferring sleep-related artifacts from self-reported anecdotal pointers to sleep patterns or issues such as insomnia. The data shared by 'quantified-selfers' on social media presents an opportunity to study more quantitative and objective measures of sleep. We propose and validate the approach of collecting and analyzing sleep logs that are generated and shared through a sleep-tracking mobile application. We highlight the value of this data by combining it with users' social media data. The results provide a validation of using social media for sleep studies as the collected sleep data is aligned with sleep data from other sources. The results of combining social media data with sleep data provide preliminary evidence that higher social media activity is associated with lower sleep duration and quality.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE International Conference on Healthcare Informatics, ICHI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages227-233
Number of pages7
ISBN (Electronic)9781509061174
DOIs
Publication statusPublished - 6 Dec 2016
Event2016 IEEE International Conference on Healthcare Informatics, ICHI 2016 - Chicago, United States
Duration: 4 Oct 20167 Oct 2016

Other

Other2016 IEEE International Conference on Healthcare Informatics, ICHI 2016
CountryUnited States
CityChicago
Period4/10/167/10/16

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ASJC Scopus subject areas

  • Health Informatics
  • Health(social science)
  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Akbar, F., & Weber, I. (2016). Sleep-as-Android: Feasibility of Using Sleep Logs on Twitter for Sleep Studies. In Proceedings - 2016 IEEE International Conference on Healthcare Informatics, ICHI 2016 (pp. 227-233). [7776348] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICHI.2016.32