The DOI matches its Crossref record; 42 of the 43 references it cites were found in a registry or an index.
Persuasiveness of expert systems
Open accessAbstract
Expert system advice is not always evaluated by examining its contents. Users can be persuaded by expert system advice because they have certain beliefs about advice given by a computer. The experiment in this paper shows that subjects (n = 84) thought that, given the same argumentation, expert systems are more objective and rational than human advisers. Furthermore, subjects thought a problem was easier when advice on it was said to be given by an expert system while the advice was shown in production rule style. Such beliefs can influence expert system use.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The cited source doesn’t support the claim as written.
In the citing paper
“Reported behaviors include both a skepticism or distrust of algorithmic advice (algorithmic aversion)12–14 and more willingness to adhere to algorithmic advice over human advice (algorithmic appreciation)15,16.”
From Do as AI say: susceptibility in deployment of clinical decision-aids (2021) · cites this paper as [16]
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
The Elaboration Likelihood Model of Persuasion
Petty, R. E., & Cacioppo, J. T. (1986) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60214-2 · Cited by 8,822
Cacioppo, J. T., & Petty, R. E. (1982) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.42.1.116 · Cited by 5,359
Communication and Persuasion: Central and Peripheral Routes to Attitude Change
Marquart, F., & Naderer, B. (2015) · Springer eBooks · doi:10.1007/978-3-658-09923-7_20 · Cited by 5,011
Davis, F. D. (1993) · International Journal of Man-Machine Studies · doi:10.1006/imms.1993.1022 · Cited by 4,754
The Efficient Assessment of Need for Cognition
Cacioppo, J. T., Petty, R. E., & Feng Kao, C. (1984) · Journal of Personality Assessment · doi:10.1207/s15327752jpa4803_13 · Cited by 2,913
The measurement of user information satisfaction
Ives, B., Olson, M. H., & Baroudi, J. J. (1983) · Communications of the ACM · doi:10.1145/358413.358430 · Cited by 1,860
Persuasion theory and research
O’Keefe, D. J. (1990) · Cited by 1,555
Explaining the Role of User Participation in Information System Use
Hartwick, J., & Barki, H. (1994) · Management Science · doi:10.1287/mnsc.40.4.440 · Cited by 1,540
Research works printed but not linked: 6
- [7]7. BODEN, M. 1990, Artificial intelligence and images of man, in R. Ennals and J. Gardin (eds), Interpretation in the Humanities: Perspectives from Artificial Intelligence (Cam- bridge: Cambridge University Press), 10-21.
- [17]17. DIJKSTRA, J. J. 1995, The influence of an expert system on the user's view: How to fool a lawyer. New Review of Applied Expert Systems, 1, 123 -138.
- [22]22. HOLLNAGEL, E. 1989, The reliability of expert systems-an inquiry of the background, in E. Hollnagel (ed.), The Reliability of Expert Systems (Sussex: Ellis Horwood), 14 - 32.
- [41]41. ROBEY, D. 1979, User attitude and management information system use. Academy of Management Journal, 22, 527-538.
- [50]50. WOGNUM, P. M. 1990, Explanation of Automated Reasoning: How and Why?, Ph.D. dissertation, University of Twente.
- [51]51. WORCHEL, S., COOPER, J. and GOETHALS, G. R. 1988, Under- standing Social Psychology (Chicago: Dorsey Press).
Cited by
Sorted by citations
Algorithm appreciation: People prefer algorithmic to human judgment
Logg, J. M., Minson, J. A., & Moore, D. A. (2019) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2018.12.005 · Cited by 2,061
The role of trust in automation reliance
Dzindolet, M. T., Peterson, S. A., Pomranky, R. A., Pierce, L. G., & Beck, H. P. (2003) · International Journal of Human-Computer Studies · doi:10.1016/s1071-5819(03)00038-7 · Cited by 1,276
In AI we trust? Perceptions about automated decision-making by artificial intelligence
Araujo, T., Helberger, N., Kruikemeier, S., & de Vreese, C. H. (2020) · AI & SOCIETY · doi:10.1007/s00146-019-00931-w · Cited by 1,038
(2002) · Cited by 770
Manipulating and Measuring Model Interpretability
Poursabzi-Sangdeh, F., Goldstein, D. G., Hofman, J. M., Wortman Vaughan, J. W., & Wallach, H. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445315 · Cited by 728
Metadata
- Authors
- Dijkstra, J. J., Liebrand, W. B. G., & Timminga, E.
- Affiliations
- University of Groningen (NL)
- Venue
- Behaviour & Information Technology
- Publisher
- Informa UK Limited
- Published
- 1998-01
- Volume
- 17
- Issue
- 3
- Pages
- 155-163
- ISSN
- 0144-929X (ISSN-L)
- 1362-3001
- OpenAlex
- W1984763500
- Cited by
- 161
- References
- 43
- Citations by year
- 2026: 12 · 2025: 13 · 2024: 16 · 2023: 19 · 2022: 21 · 2021: 18 · 2020: 11 · 2019: 8 · 2018: 7 · 2017: 4 · 2016: 2 · 2015: 2 · 2014: 2 · 2013: 1 · 2012: 2
- FWCI
- 2.08
- Type
- journal article
- Language
- en
- Open access
- green
- research.rug.nl
- Licence
- other-oa
- Locations
- Behaviour and Information Technology (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- Topics
- Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Social Sciences › Psychology › Social Psychology › Psychology of Social Influence
- Keywords
- expert systems, persuasiveness, user beliefs, perceived objectivity, production rules
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
