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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.
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“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]
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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
Measuring User Participation, User Involvement, and User Attitude
Barki, H., & Hartwick, J. (1994) · MIS Quarterly · doi:10.2307/249610 · Cited by 927
An empirical study of the impact of user involvement on system usage and information satisfaction
Baroudi, J. J., Olson, M. H., & Ives, B. (1986) · Communications of the ACM · doi:10.1145/5666.5669 · Cited by 905
A Theoretical Assessment of the User-Satisfaction Construct in Information Systems Research
Melone, N. P. (1990) · Management Science · doi:10.1287/mnsc.36.1.76 · Cited by 705
Early Diagnosis of MIS Implementation Failure: Promising Results and Unanswered Questions
Ginzberg, M. J. (1981) · Management Science · doi:10.1287/mnsc.27.4.459 · Cited by 631
Rethinking the Concept of User Involvement
Barki, H., & Hartwick, J. (1989) · MIS Quarterly · doi:10.2307/248700 · Cited by 623
Alternative Measures of System Effectiveness: Associations and Implications
Srinivasan, A. (1985) · MIS Quarterly · doi:10.2307/248951 · Cited by 537
Usefulness and ease of use: field study evidence regarding task considerations
Keil, M., Beranek, P. M., & Konsynski, B. R. (1995) · Decision Support Systems · doi:10.1016/0167-9236(94)e0032-m · Cited by 438
User acceptance of microcomputer technology: An empirical test
Igbaria, M. (1993) · Omega · doi:10.1016/0305-0483(93)90040-r · Cited by 424
Todd, P., & Benbasat, I. (1992) · MIS Quarterly · doi:10.2307/249534 · Cited by 385
Igbaria, M., Schiffman, S. J., & Wieckowski, T. J. (1994) · Behaviour and Information Technology · doi:10.1080/01449299408914616 · Cited by 373
Some Cautions on the Measurement of User Information Satisfaction*
Galletta, D. F., & Lederer, A. L. (1989) · Decision Sciences · doi:10.1111/j.1540-5915.1989.tb01558.x · Cited by 352
Source Attributions and Persuasion: Perceived Honesty as a Determinant of Message Scrutiny
Priester, J. R., & Petty, R. E. (1995) · Personality and Social Psychology Bulletin · doi:10.1177/0146167295216010 · Cited by 347
The Impact of Explanation Facilities on User Acceptance of Expert Systems Advice
Ye, L. R., & Johnson, P. E. (1995) · MIS Quarterly · doi:10.2307/249686 · Cited by 290
Is user satisfaction a valid measure of system effectiveness?
Gatian, A. W. (1994) · Information & Management · doi:10.1016/0378-7206(94)90036-1 · Cited by 287
Understanding Social Psychology
Jacobs, H., Worchel, S., Cooper, J., & Goethals, G. R. (1989) · Teaching Sociology · doi:10.2307/1317953 · Cited by 228
AN EMPIRICAL ASSESSMENT OF COMPUTER‐ASSISTED DECISION ANALYSIS*
Aldag, R. J., & Power, D. (1986) · Decision Sciences · doi:10.1111/j.1540-5915.1986.tb00243.x · Cited by 198
Correlates of user satisfaction with end user computing
Igbaria, M., & Nachman, S. A. (1990) · Information & Management · doi:10.1016/0378-7206(90)90017-c · Cited by 179
Todd, P., & Benbasat, I. (1994) · Organizational Behavior and Human Decision Processes · doi:10.1006/obhd.1994.1074 · Cited by 170
Determining information system usage: Some issues and examples
Szajna, B. (1993) · Information & Management · doi:10.1016/0378-7206(93)90037-t · Cited by 105
User information satisfaction: IS implementability and effectiveness
Iivari, J., & Ervasti, I. (1994) · Information & Management · doi:10.1016/0378-7206(94)90049-3 · Cited by 99
Computer-Assisted Decision Making: Performance, Beliefs, and the Illusion of Control
Kottemann, J. E., Davis, F. D., & Remus, W. (1994) · Organizational Behavior and Human Decision Processes · doi:10.1006/obhd.1994.1002 · Cited by 91
PARE, G., & ELAM, J. J. (1995) · Behaviour & Information Technology · doi:10.1080/01449299508914635 · Cited by 84
Kiers, H. A. L., & ten Berge, J. M. F. (1989) · Psychometrika · doi:10.1007/bf02294629 · Cited by 83
The influence of decision aids on choice strategies under conditions of high cognitive load
Todd, P., & Benbasat, I. (1994) · IEEE Transactions on Systems Man and Cybernetics · doi:10.1109/21.286376 · Cited by 67
Harmful effects of seemingly helpful information on forecasts of stock earnings
Davis, F. D., Lohse, G. L., & Kottemann, J. E. (1994) · Journal of Economic Psychology · doi:10.1016/0167-4870(94)90003-5 · Cited by 64
Experience with a structure, process and outcome framework for evaluating an information system
Cornford, T., Doukidis, G., & Forster, D. (1994) · Omega · doi:10.1016/0305-0483(94)90030-2 · Cited by 60
Evidence and principles of functional and dysfunctional DSS
Kottemann, J. E., & Remus, W. (1987) · Omega · doi:10.1016/0305-0483(87)90028-4 · Cited by 26
Using human factor guidelines for developing expert systems
Suh, C., & Suh, E. (1993) · Expert Systems · doi:10.1111/j.1468-0394.1993.tb00091.x · Cited by 16
Man-Made Minds: The Promise of Artificial Intelligence
Waldrop, M. M. (1987) · Cited by 13
User responsibility and exception handling in decision support systems
Chen, Z. (1992) · Decision Support Systems · doi:10.1016/0167-9236(92)90045-q · Cited by 12
Individual differences in the performance and use of an expert system
Will, R. P. (1992) · International Journal of Man-Machine Studies · doi:10.1016/0020-7373(92)90084-x · Cited by 8
A model for justification production by expert planning systems
Bridges, S. M. (1995) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1995.1062 · Cited by 4
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).
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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
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