LDC’19: International workshop on longitudinal data collection in human subject studies

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

Individuals increasingly use mobile, wearable, and ubiquitous devices capable of unobtrusive collection of vast amounts of scientifically rich personal data over long periods (months to years), and in the context of their daily life. However, numerous human and technological factors challenge longitudinal data collection, often limiting research studies to very short data collection periods (days to weeks), spawning recruitment biases, and affecting participant retention over time. This workshop is designed to bring together researchers involved in longitudinal data collection studies to foster an insightful exchange of ideas, experiences, and discoveries to improve the studies’ reliability, validity, and perceived meaning of longitudinal mobile, wearable, and ubiquitous data collection for the participants.

Original languageEnglish
Title of host publicationUbiComp/ISWC '19 Adjunct: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
PublisherAssociation for Computing Machinery
Publication date2019
Pages878-881
ISBN (Electronic)978-1-4503-6869-8
DOIs
Publication statusPublished - 2019
Event2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019 - London, United Kingdom
Duration: 9 Sep 201913 Sep 2019

Conference

Conference2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019
LandUnited Kingdom
ByLondon
Periode09/09/201913/09/2019
Sponsoremteq, et al., Facebook, Google, Huawei, Nokia Bell Labs

    Research areas

  • Human Sensing, Human Subject Studies, In Situ, Longitudinal Studies, Mobile Devices, Panel Technique

ID: 235583412