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

  • Vlad Manea
  • , Allan Berrocal
  • , Alexandre De Masi
  • , Naja Holten Møller
  • , Katarzyna Wac
  • , Hannah Bayer
  • , Sune Lehmann
  • , Euan Ashley
  • University of Copenhagen
  • Stanford University
  • Datacubed Health
  • University of Geneva

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

Abstract

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 publicationAdjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing
PublisherAssociation for Computing Machinery
Publication date9 Sept 2019
Pages878-881
ISBN (Electronic)9781450368698
DOIs
Publication statusPublished - 9 Sept 2019
Event2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2019 ACM International Symposium on Wearable Computers - London, United Kingdom
Duration: 9 Sept 201913 Sept 2019

Conference

Conference2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2019 ACM International Symposium on Wearable Computers
Country/TerritoryUnited Kingdom
CityLondon
Period09/09/201913/09/2019

Keywords

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

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