Perceptions of Digital Assistants From Early Adopters Aged 55+

Lyndsie M. Koon, Sean A. Mcglynn, Kenneth A. Blocker, Wendy A. Rogers

Research output: Contribution to journal › Article

Abstract

Voice-activated digital assistants have the potential to assist adults aging-in-place with a variety of everyday tasks and leisure activities. To understand this potential, semi-structured interviews were conducted to explore perceptions and attitudes from current adult users based on the models of the unified theory of acceptance and use of technology model. Several model factors were identified as influential in the initial and continued use of the digital assistants. Results indicate the need for an effective instructional protocol to promote successful interactions during the learning phase and for continued engagement with novel abilities of the digital assistants.
Original languageEnglish (US)
JournalErgonomics in Design: The Quarterly of Human Factors Applications
DOIs
StateE-pub ahead of print - Apr 25 2019

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Keywords

  • digital assistants
  • aging-in-place
  • technology acceptance
  • design guidelines

Cite this

Perceptions of Digital Assistants From Early Adopters Aged 55+. / Koon, Lyndsie M.; Mcglynn, Sean A.; Blocker, Kenneth A.; Rogers, Wendy A.

In: Ergonomics in Design: The Quarterly of Human Factors Applications, 25.04.2019.

Research output: Contribution to journal › Article

Koon, LM, Mcglynn, SA, Blocker, KA & Rogers, WA 2019, 'Perceptions of Digital Assistants From Early Adopters Aged 55+', Ergonomics in Design: The Quarterly of Human Factors Applications. https://doi.org/10.1177/1064804619842501
Koon LM, Mcglynn SA, Blocker KA, Rogers WA. Perceptions of Digital Assistants From Early Adopters Aged 55+. Ergonomics in Design: The Quarterly of Human Factors Applications. 2019 Apr 25. https://doi.org/10.1177/1064804619842501
Koon, Lyndsie M. ; Mcglynn, Sean A. ; Blocker, Kenneth A. ; Rogers, Wendy A. / Perceptions of Digital Assistants From Early Adopters Aged 55+. In: Ergonomics in Design: The Quarterly of Human Factors Applications. 2019.
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