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Understanding the adoption of quantified self-tracking wearable devices in the organization environment: an empirical case study

Published: 05 June 2019 Publication History

Abstract

Prior research on wearable devices has focused heavily on the consumer market. This study makes a unique empirical contribution to wearables research by extending the knowledge on factors that contribute to the adoption of quantified self-tracking wearable devices in an organizational environment. A wearable acceptance model (WAM) and factors that can influence the individual's decision to adopt quantified self-tracking wearable devices and self-monitoring practices were tested with an online survey of 129 university employees (faculty, administration) and students. Partial least squares path modeling was applied in an analysis to test nine hypotheses to validate the WAM. The factors in the individual context i.e. attitude plays a significant mediating role between the intention to use and the other influential factors of technology, implementation and risk context. The factors of the fashnology (wearability, aesthetic/design), individual (attitude) and risk context (privacy concern) tend to have strong and direct effects on the int use the devices, whereas factors of risk context (privacy and technology context (performance expectancy) moderate influence on the intention to use through Organizational facilitating conditions have a significant influence on the intention to use. Surprisingly, effort expectancy does not have any effect on attitude.

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PETRA '19: Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments
June 2019
655 pages
ISBN:9781450362320
DOI:10.1145/3316782
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Author Tags

  1. activity tracker
  2. aesthetics
  3. fashnology
  4. pedometer
  5. privacy
  6. quantified self-tracking wearable devices
  7. quantified-self
  8. smartwatch
  9. technology acceptance
  10. wearability

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  • (2023)Personal Informatics at the Office: User-Driven, Situated Sensor Kits in the WorkplaceProceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work10.1145/3596671.3598577(1-13)Online publication date: 13-Jun-2023
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