MQOL: Mobile quality of life lab: From behavior change to QOL

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Nowadays, the app stores host a variety of mobile health solutions. Smartphone users can choose from tens of thousands of applications, designed to prevent or manage certain diseases, or induce behavior change to improve health and life quality in general. However, the value of most applications remains unclear, as they stop short from documenting adherence to medical evidence. We review the fundamental mobile health challenges and propose Mobile Quality of Life Lab (mQoL), a mobile health platform which addresses the identified challenges and leverages recent developments to facilitate the deployment of much-needed longitudinal, multidimensional, evidence-based studies that are minimally obtrusive for the participants, yet provide high value in terms of the collected datasets, as well as potential for behavior change towards improving Quality of Life.

Original languageEnglish
Title of host publicationUbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers
Number of pages6
PublisherAssociation for Computing Machinery
Publication date2018
Pages642-647
ISBN (Electronic)9781450359665
DOIs
Publication statusPublished - 2018
Event2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 - Singapore, Singapore
Duration: 8 Oct 201812 Oct 2018

Conference

Conference2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018
LandSingapore
BySingapore
Periode08/10/201812/10/2018
SponsorACM SIGCHI, ACM SIGMOBILE

    Research areas

  • Behavioral Marker, Longitudinal Data, Mobile Application, Quality of Life, Self-Assessment

ID: 217340545