The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
Someone out there? A study on the social presence of anthropomorphized chatbots
Open accessOverview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Lastly, certain individuals persist in favoring conventional teaching methodologies, posing conceptual obstacles to the adoption of novel technologies, as they are inclined to view chatbots solely as utilitarian devices rather than as collaborative educational partners (55).”
From Digital affordances of AI chatbots in nursing education: a systematic review of learning gains and gaps in the evidence (2026) · cites this paper as [55]
In the citing paper
“However, the extent of perceived social presence depends largely on the consumer's subjective perceptions of the chatbot's anthropomorphic characteristics (Konya- Baumbach etal.2023; Jin and Youn2023).”
From Consumer Response to Anthropomorphism of Text‐Based AI Chatbots: A Systematic Literature Review and Future Research Directions (2025) · cites this paper as Konya-Baumbach et al. 2023
Citations
Cites
SPSS and SAS procedures for estimating indirect effects in simple mediation models
Preacher, K. J., & Hayes, A. F. (2004) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03206553 · Cited by 17,383
Hedonic Consumption: Emerging Concepts, Methods and Propositions
Hirschman, E. C., & Holbrook, M. B. (1982) · Journal of Marketing · doi:10.1177/002224298204600314 · Cited by 5,616
On seeing human: A three-factor theory of anthropomorphism
Epley, N., Waytz, A., & Cacioppo, J. T. (2007) · Psychological Review · doi:10.1037/0033-295x.114.4.864 · Cited by 4,069
Machines and Mindlessness: Social Responses to Computers
Nass, C., & Moon, Y. (2000) · Journal of Social Issues · doi:10.1111/0022-4537.00153 · Cited by 4,022
Artificial intelligence in service
Huang, M.-H., & Rust, R. T. (2018) · Journal of Service Research · doi:10.1177/1094670517752459 · Cited by 3,978
The social psychology of telecommunications
Gray, G. (1977) · Telecommunications Policy · doi:10.1016/0308-5961(77)90016-7 · Cited by 3,486
How artificial intelligence will change the future of marketing
Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-019-00696-0 · Cited by 2,875
Social presence as a predictor of satisfaction within a computer‐mediated conferencing environment
Gunawardena, C. N., & Zittle, F. J. (1997) · American Journal of Distance Education · doi:10.1080/08923649709526970 · Cited by 2,005
Grewal, D., Krishnan, R., Baker, J. A., & Borin, N. (1998) · Journal of Retailing · doi:10.1016/s0022-4359(99)80099-2 · Cited by 1,423
van Doorn, J., Mende, M., Noble, S. M., Hulland, J., Ostrom, A. L., Grewal, D., & Petersen, J. A. (2017) · Journal of Service Research · doi:10.1177/1094670516679272 · Cited by 1,344
Research works printed but not linked: 1
- Mori, 1970, The uncanny valley (in Japanese), Energy, 7, 33
Cited by
Sorted by citations
Ma, X., & Huo, Y. (2023) · Technology in Society · doi:10.1016/j.techsoc.2023.102362 · Cited by 386
ChatGPT and consumers: Benefits, Pitfalls and Future Research Agenda
Paul, J., Ueno, A., & Dennis, C. (2023) · International Journal of Consumer Studies · doi:10.1111/ijcs.12928 · Cited by 345
Janson, A. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107954 · Cited by 187
Niu, B., & Mvondo, G. F. N. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103562 · Cited by 178
Kim, H., & Park, M. (2023) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103581 · Cited by 164
Metadata
- Authors
- Konya-Baumbach, E., Biller, M., & von Janda, S.
- Affiliations
- University of Mannheim (DE)
- Corresponding author
- Konya-Baumbach, Elisa
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2023-02
- Volume
- 139
- Pages
- 107513
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W4303649269
- Cited by
- 283
- References
- 74
- Citations by year
- 2026: 107 · 2025: 96 · 2024: 54 · 2023: 26
- FWCI
- 13.73
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Computers in Human Behavior (publishedVersion)
- ARBOR - Bern University of Applied Sciences Repository (submittedVersion)
- BFH: ARBOR
- Funders
- Deutsche Forschungsgemeinschaft (397270471)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
- Keywords
- chatbots, anthropomorphism, social presence, trust, purchase intention, word of mouth, customer satisfaction, shopping motivation, sensitive information disclosure
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review