Understanding the Role of Privacy and Trust in Intelligent Personal Assistant Adoption

Yuting Liao, Jessica Vitak, Priya Kumar, Michael Zimmer, Katherine Kritikos

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

64 Citations (SciVal)

Abstract

Voice-controlled intelligent personal assistants (IPAs) have seen tremendous growth in recent years on smartphones and as standalone devices in people’s homes. While research has examined the potential benefits and drawbacks of these devices for IPA users, few studies have empirically evaluated the role of privacy and trust in individual decision to adopt IPAs. In this study, we present findings from a survey of IPA users and non-users (N = 1160) to understand (1) the motivations and barriers to adopting IPAs and (2) how concerns about data privacy and trust in company compliance with social contract related to IPA data affect acceptance and use of IPAs. We discuss our findings in light of social contract theory and frameworks of technology acceptance.

Original languageEnglish (US)
Title of host publicationInformation in Contemporary Society - 14th International Conference, iConference 2019, Proceedings
EditorsBonnie Nardi, Natalie Greene Taylor, Caitlin Christian-Lamb, Michelle H. Martin
PublisherSpringer Verlag
Pages102-113
Number of pages12
ISBN (Print)9783030157418
DOIs
StatePublished - 2019
Event14th International Conference on Information in Contemporary Society, iConference 2019 - Washington, United States
Duration: Mar 31 2019Apr 3 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11420 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Information in Contemporary Society, iConference 2019
Country/TerritoryUnited States
CityWashington
Period3/31/194/3/19

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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