Should AI-Based, conversational digital assistants employ social- or task-oriented interaction style? A task-competency and reciprocity perspective for older adults
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Previous literature indicates that social chatbots lead to better consumer satisfaction and social outcomes for older adults.
“This pattern aligns with previous literature on social chatbots leading to better consumer satisfaction [69] and social outcomes for older adults [70].”
From Generative AI Mental Health Chatbots as Therapeutic Tools: Systematic Review and Meta-Analysis of Their Role in Reducing Mental Health Issues (2025) · cites this paper as [70]
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“This pattern aligns with previous literature on social chatbots leading to better consumer satisfaction [69] and social outcomes for older adults [70].”
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- Authors
- Chattaraman, V., Kwon, W.-S., Gilbert, J. E., & Ross, K.
- Affiliations
- Auburn University (US)
- University of Florida (US)
- Corresponding author
- Chattaraman, Veena
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 90
- Pages
- 315-330
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2889310216
- Cited by
- 510
- References
- 71
- Citations by year
- 2026: 95 · 2025: 114 · 2024: 106 · 2023: 69 · 2022: 56 · 2021: 42 · 2020: 23 · 2019: 5
- FWCI
- 9.54
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Computers in Human Behavior (acceptedVersion)
- Funders
- National Science Foundation (IIS-1527182, IIS-1527302)
- Alabama Agricultural Experiment Station
- Hatch program of the National Institute of Food and Agriculture, U.S. Department of Agriculture
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Social Sciences › Demography › Technology Use by Older Adults
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Keywords
- older adults, task-based interaction, reciprocity, perceived interactivity, trust, self-efficacy, perceived ease of use, perceived usefulness, agent design
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