The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Silicon sycophants: the effects of computers that flatter
Open accessAbstract
A laboratory experiment examines the claims that (1) humans are susceptible to flattery from computers and (2) the effects of flattery from computers are the same as the effects of flattery from humans. In a cooperative task with a computer, subjects (N=41) received one of three types of feedback from a computer: “sincere praise”, “flattery” (insincere praise) or “generic feedback”. Compared to generic-feedback subjects, flattery subjects reported more positive affect, better performance, more positive evaluations of the interaction and more positive regard for the computer, even though subjects knew that the flattery from the computer was simply noncontingent feedback. Subjects in the sincere praise condition responded similarly to those in the flattery condition. The study concludes that the effects of flattery from a computer can produce the same general effects as flattery from humans, as described in the psychology literature. These findings may suggest significant implications for the design of interactive technologies.
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Cites
Grice, H. P. (1975) · Speech Acts · doi:10.1163/9789004368811_003 · Cited by 23,221
Illusion and well‐being: A social psychological perspective on mental health
Taylor, S. E., & Brown, J. D. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.2.193 · Cited by 7,814
Are Machines Gender Neutral? Gender‐Stereotypic Responses to Computers With Voices
Nass, C., Moon, Y., & Green, N. (1997) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1997.tb00275.x · Cited by 670
Self-citationAnthropomorphism, agency, and ethopoeia: computers as social actors
Nass, C., Steuer, J., Tauber, E., & Reeder, H. (1993) · INTERACT '93 and CHI '93 conference companion on Human factors in computing systems - CHI '93 · doi:10.1145/259964.260137 · Cited by 162
Self-citation
Cited by
Sensitive questions in surveys.
Tourangeau, R., & Yan, T. (2007) · Psychological Bulletin · doi:10.1037/0033-2909.133.5.859 · Cited by 3,057
Persuasive Systems Design: Key Issues, Process Model, and System Features
Oinas-Kukkonen, H., & Harjumaa, M. (2009) · Communications of the Association for Information Systems · doi:10.17705/1cais.02428 · Cited by 1,663
Persuasive technology: using computers to change what we think and do
Fogg, B. J. (2002) · Ubiquity · doi:10.1145/764008.763957 · Cited by 1,554
Self-citationLee, M. K. (2018) · Big Data & Society · doi:10.1177/2053951718756684 · Cited by 1,338
AI-based chatbots in customer service and their effects on user compliance
Adam, M., Wessel, M., & Benlian, A. (2021) · Electronic Markets · doi:10.1007/s12525-020-00414-7 · Cited by 1,195
“1995), and flattery effects (Fogg and Nass 1997) are also present in HCI.”
Background
Metadata
- Authors
- FOGG, B. J., & NASS, C.
- Venue
- International Journal of Human-Computer Studies
- Publisher
- Elsevier BV
- Published
- 1997-05
- Volume
- 46
- Issue
- 5
- Pages
- 551-561
- ISSN
- 1071-5819 (ISSN-L)
- OpenAlex
- W2009970621
- Cited by
- 367
- References
- 4
- FWCI
- 12.43
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
