Challenges and opportunities of mobile data collection in clinical studies

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


The advancement in mobile technologies, especially smartphones, has brought a huge change to data collection methods in recent years. The ubiquity of smartphones makes them a useful tool for collecting data in real-time. Ecological Momentary Assessment (EMA) is an effective data collection method that involves repeated sampling of an individual's behavior, symptoms, and experiences in real-time in their natural environment, maximizing ecological validity. However, the burden that smartphone-based EMA imposes on individuals could result in high numbers of dropouts and limit its use in research and clinical practice. Investigating and identifying the reasons and factors that contribute to the individual's dropout could highly benefit the outcomes of EMA studies. This study applies the Model of Technology Appropriation (MTA) as a theoretical lens to explain the process of individual's appropriation of smartphones for the EMA data collection. We report the results of our user study on a group of volunteers.

Original languageEnglish
Title of host publicationMoMM2020, The 18th International Conference on Advances in Mobile Computing & Multimedia
EditorsPari Delir Haghighi, Ivan Luiz Salvadori, Matthias Steinbauer, Ismail Khalil, Gabriele Kotsis
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages9
ISBN (Electronic)9781450389242
Publication statusPublished - 2020
EventInternational Conference on Advances in Mobile Computing and Multimedia 2020 - Virtual, Chiang Mai, Thailand
Duration: 30 Nov 20202 Dec 2020
Conference number: 18th (Proceedings) (Website)


ConferenceInternational Conference on Advances in Mobile Computing and Multimedia 2020
Abbreviated titleMoMM 2020
CityChiang Mai
Internet address


  • chronic pain
  • mobile data collection
  • physical activity
  • technology appropriation

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