Understanding the Role of Privacy and Trust in Intelligent Personal Assistant Adoption
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Users have often personified voice assistants in smart speakers such as Alexa and have attributed the agent to be a 'companion' or 'friend'.
“Collectively, this background work highlights that users have often personified voice assistants in smart speakers such as Alexa and have attributed the agent to be a “companion” or “friend”.”
From "Phantom Friend" or "Just a Box with Information": Personification and Ontological Categorization of Smart Speaker-based Voice Assistants by Older Adults (2019) · cites this paper as [46]
Polite behavior such as saying thank you is learned over time until it becomes natural.
“The quote above indicates that polite behavior such as saying thank you is learned over time until it becomes natural -resonating with past work [46].”
From "Phantom Friend" or "Just a Box with Information": Personification and Ontological Categorization of Smart Speaker-based Voice Assistants by Older Adults (2019) · cites this paper as [46]
The link between using 'she' or 'her' and the personification of the voice assistant is not as clear as past literature indicates.
“However, the usage examples described above suggests that the link between using “she” or “her” and the personification of the voice assistant is not as clear as past literature indicates.”
From "Phantom Friend" or "Just a Box with Information": Personification and Ontological Categorization of Smart Speaker-based Voice Assistants by Older Adults (2019) · cites this paper as [46]
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · see citing works
Privacy in Context: Technology, Policy, and the Integrity of Social Life
Nissenbaum, H. (2009) · doi:10.1515/9780804772891 · Cited by 2,129 · cited 1× · see citing works
“A growing body of scholarship argues that privacy is contextual in nature, and that protecting privacy depends on maintaining appropriate information flows between actors within a given context [16, 22, 23, 29].”
BackgroundPradhan, A., Mehta, K., & Findlater, L. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174033 · Cited by 448 · see citing works
McCole, P., Ramsey, E., & Williams, J. (2010) · Journal of Business Research · doi:10.1016/j.jbusres.2009.02.025 · Cited by 403 · see citing works
Talk to me: Exploring user interactions with the Amazon Alexa
Lopatovska, I., Rink, K., Knight, I., Raines, K., Cosenza, K., Williams, H., Sorsche, P., Hirsch, D., Li, Q., & Martinez, A. (2019) · Journal of Librarianship and Information Science · doi:10.1177/0961000618759414 · Cited by 298 · see citing works
Personification of the Amazon Alexa: BFF or a Mindless Companion
Lopatovska, I., & Williams, H. (2018) · Proceedings of the 2018 Conference on Human Information Interaction&Retrieval - CHIIR '18 · doi:10.1145/3176349.3176868 · Cited by 160 · see citing works
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Vimalkumar, M., Sharma, S. K., Singh, J. B., & Dwivedi, Y. K. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106763 · Cited by 402 · see citing works
How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents
Moussawi, S., Koufaris, M., & Benbunan-Fich, R. (2021) · Electronic Markets · doi:10.1007/s12525-020-00411-w · Cited by 406 · see citing works
Pradhan, A., Findlater, L., & Lazar, A. (2019) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3359316 · Cited by 223 · see citing works
Kim, S., & Choudhury, A. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106914 · Cited by 200 · see citing works
"Alexa is a Toy": Exploring Older Adults' Reasons for Using, Limiting, and Abandoning Echo
Trajkova, M., & Martin-Hammond, A. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376760 · Cited by 154 · see citing works
Privacy and smart speakers: A multi-dimensional approach
Lutz, C., & Newlands, G. (2021) · The Information Society · doi:10.1080/01972243.2021.1897914 · Cited by 123 · see citing works
Branham, S. M., & Mukkath Roy, A. R. (2019) · Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3308561.3353797 · Cited by 75 · see citing works
The Use of Smart Home Speakers by the Elderly: Exploratory Analyses and Potential for Big Data
Purao, S., Hao, H., & Meng, C. (2021) · Big Data Research · doi:10.1016/j.bdr.2021.100224 · Cited by 15 · see citing works
- Authors
- Liao, Y., Vitak, J., Kumar, P., Zimmer, M., & Kritikos, K.
- Affiliations
- University of Maryland, College Park (US)
- University of Wisconsin–Milwaukee (US)
- Corresponding author
- Liao, Yuting
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2019
- Pages
- 102-113
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2922503844
- Cited by
- 127
- References
- 6
- Citations by year
- 2026: 6 · 2025: 14 · 2024: 17 · 2023: 18 · 2022: 22 · 2021: 33 · 2020: 13 · 2019: 4
- FWCI
- 40.87
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Keywords
- virtual assistants, voice assistants, technology adoption, privacy concerns, trust, social contract theory, technology acceptance, data privacy, adoption motivations, barriers to adoption, smart speakers, smartphones
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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