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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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“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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Metadata
- 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
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Health Sciences › Medicine › Geriatrics and Gerontology › 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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