Users’ privacy perceptions about wearable technology: Examining influence of personality, trust, and usability

Karen Lamb, Hsiao Ying Huang, Andrew Marturano, Masooda Bashir

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

Abstract

Wearable technologies have become useful instruments in providing accurate and trustworthy information about individuals’ activities, especially for health-and-fitness related purposes. However, the constant and ubiquitous data practices of wearable devices bring challenges to users’ privacy and security. This study focused on smartwatches and investigated how users’ personalities, trust, and the usability of the device affected their privacy perceptions while using the wearable device. Our results indicated that users who demonstrated a high tendency towards neuroticism had more awareness about third-party data sharing after a wearable trial. Also, those high in personal trust were less concerned about privacy. In addition, we found that the usability of a device affected the users’ perceptions of data practices. As the first study of its kind, we provide several suggestions for designing privacy-enhancing wearable devices and for future research.

Original languageEnglish (US)
Title of host publicationAdvances in Human Factors in Cybersecurity - Proceedings of the AHFE International Conference on Human Factors in Cybersecurity, 2016
EditorsDenise Nicholson
PublisherSpringer-Verlag
Pages55-68
Number of pages14
ISBN (Print)9783319419312
DOIs
StatePublished - Jan 1 2016
EventInternational Conference on Human Factors in Cybersecurity, 2016 - Walt Disney World, United States
Duration: Jul 27 2016Jul 31 2016

Publication series

NameAdvances in Intelligent Systems and Computing
Volume501
ISSN (Print)2194-5357

Other

OtherInternational Conference on Human Factors in Cybersecurity, 2016
CountryUnited States
CityWalt Disney World
Period7/27/167/31/16

Keywords

  • Data privacy
  • Human factors
  • Usable privacy
  • Wearable device

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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