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Trust in Smart Personal Assistants: A Systematic Literature Review and Development of a Research Agenda
Abstract
Smart Personal Assistants (SPA) fundamentally influence the way individuals perform tasks, use services and interact with organizations. They thus bear an immense economic and societal potential. However, a lack of trust - rooted in perceptions of uncertainty and risk - when interacting with intelligent computer agents can inhibit their adoption. In this paper, we conduct a systematic literature review to investigate the state of knowledge on trust in SPAs. Based on a concept-centric analysis of 50 papers, we derive three distinct research perspectives that constitute this nascent field: user interface-driven, interaction-driven, and explanation-driven trust in SPAs. Building on the results of our analysis, we develop a research agenda to spark and guide future research surrounding trust in SPAs. Ultimately, this paper intends to contribute to the body of knowledge of trust in artificial intelligence-based systems, specifically SPAs. It does so by proposing a novel framework mapping out their relationship.
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“This has helped identify factors contributing to positive or negative user experience [118] and has addressed specific aspects such as trust [119], perceived social support [71], human likeness [4], and how these aspects are impacted by chatbot design [42].”
From Future directions for chatbot research: An interdisciplinary research agenda (2021) · cites this paper as [119]
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Trust in AI: progress, challenges, and future directions
Afroogh, S., Akbari, A., Malone, E., Kargar, M., & Alambeigi, H. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-04044-8 · Cited by 718
“…2021; Hui et al., 2021; Jacobs et al., 2021; D. K. D. Kim and Kim, 2021a), fi nance (Chandra et al., 2010; Kumar et al., 2021; Zierau et al., 2021), personal assistance (Fan et al., 2021b; Pitardi and Marriott, 2021a; Zierau et al., 2020), autonomous vehicles (Ajenaghughrure et al., 2020a), etc.”
Future directions for chatbot research: An interdisciplinary research agenda
Følstad, A., Araujo, T., Law, E. L.-C., Brandtzaeg, P. B., Papadopoulos, S., Reis, L., Baez, M., Laban, G., McAllister, P., Ischen, C., et al. (2021) · Computing · doi:10.1007/s00607-021-01016-7 · Cited by 247
“This has helped identify factors contributing to positive or negative user experience [118] and has addressed specific aspects such as trust [119], perceived social support [71], human likeness [4], and how these aspects are impacted by chatbot design [42].”
BackgroundHornung, O., & Smolnik, S. (2021) · Electronic Markets · doi:10.1007/s12525-021-00493-0 · Cited by 98
“Regarding PVAs, trust and privacy issues mostly lead to users rejecting this technology (Cho et al., 2020; Liao et al., 2019; Zierau et al., 2020).”
BackgroundEthical Design of Conversational Agents: Towards Principles for a Value-Sensitive Design
Wambsganß, T., Höch, A., Zierau, N., & Söllner, M. (2021) · Lecture notes in information systems and organisation · doi:10.1007/978-3-030-86790-4_37 · Cited by 31
“Thus, a plethora of positive user outcomes have been recorded, such as engagement [4], trust [5, 6], rapport, and ease of use, in several domains, such as education [7–9], healthcare [10] and customer service [11, 12].”
BackgroundSelf-citationMicroexpressions in digital humans: perceived affect, sincerity, and trustworthiness
Tastemirova, A., Schneider, J., Kruse, L. C., Heinzle, S., & Brocke, J. V. (2022) · Electronic Markets · doi:10.1007/s12525-022-00563-x · Cited by 35
“Digital humans are increasingly built to establish emotional bonds, where friendly style and social-emotional cues positively influence the perceived trustworthiness and level of interactivity (Zierau et al., 2020).”
Background
Metadata
- Authors
- University of St.Gallen, I. O. I. M., Zierau, N., Engel, C., Söllner, M., University of Kassel, I. S. A. S. E., Leimeister, J. M., & University of Kassel, I. S.
- Venue
- WI2020 Zentrale Tracks
- Publisher
- GITO Verlag
- Published
- 2020-03-09
- Pages
- 99-114
- OpenAlex
- W4230628669
- Cited by
- 17
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 4 · 2023: 2 · 2022: 4 · 2021: 5
- FWCI
- 0.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Alexandria (UniSG) (University of St.Gallen) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
- Keywords
- smart personal assistants, trust in AI, user interface design, interaction design, explanation, uncertainty, risk perception, research agenda
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