Cited by 43Usability and User Interface DesignInformation Systems Theories and ImplementationComplex Systems and Decision Making

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The Importance of Models in Making Complex Systems Comprehensible

Fischer, Gerhard·1991·Human Factors in Information Technology

Overview

Integrity signals

Registry

Crossref · 10.1016/b978-0-444-88602-6.50005-0

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

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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?

  • Bias and opacity in computer systems have been exacerbated by the rapidly expanding numbers of data-driven information systems entering decision-making processes.

    “Bias or opacity are far from newly observed characteristics of computer systems generally [26, 11, 24], but these issues have been exacerbated by the rapidly expanding numbers of data-driven information systems entering decision-making processes.”

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 23

  1. Bodker, S., Knudsen, J.L., Kyng, M., Ehn, P. and Madsen, K.H. (1988). Computer support for cooperative design. Proceedings of the Conference on Computer-Supported Cooperative Work (CSCW1988), ACM, New York, September 1988, pp. 377–394. · DOI
  2. Böcker, H.-D., Fischer, G. and Nieper, H. (1986). The enhancement of understanding through visual representations. Human Factors in Computing Systems. CHI1986 Conference Proceedings (Boston), ACM, New York, April 1986, pp. 44–50. · DOI
  3. Brooks, 1987, No Silver Bullet. Essence and Accidents of Software Engineering, IEEE Computer, 20, 10, 10.1109/MC.1987.1663532 · DOI
  4. Clancey, 1986, Qualitative student models, Annual Review of Computing Science, 1, 381, 10.1146/annurev.cs.01.060186.002121 · DOI
  5. Curtis, 1988, A field study of the software design process for large systems, Communications of ACM, 31, 1268, 10.1145/50087.50089 · DOI · Paper page
  6. Draper, S.W. (1984). The Nature of Expertise in UNIX. Proceedings of INTERACT1984, IFIP Conference on Human-Computer Interaction, Elsevier Science Publishers, Amsterdam, September 1984, pp. 182–186.
  7. Fischer, G. (1987). A critic for LISP. In J. McDermott (Ed.), Proceedings of the 10th International Joint Conference on Artificial Intelligence (Milan, Italy). Los Altos, CA: Morgan Kaufmann Publishers. · DOI
  8. Fischer, G. and Girgensohn, A. (1990). End-user modifiability in design environments, human factors in computing systems. CHI1990 Conference Proceedings. Seattle, WA, ACM, New York, April 1990.
  9. Fischer, 1988, Construction kits and design environments: steps toward human problem-domain communication, Human-Computer Interaction, 3, 179, 10.1207/s15327051hci0303_1 · DOI
  10. Fischer, G. and Mastaglio, T. (1989). Computer-based critics. Proceedings of the 22nd Annual Hawaii Conference on System Sciences, Vol. III: Decision support and knowledge based systems track. IEEE Computer Society, January 1989, pp. 427–436. · DOI
  11. Fischer, G., Mastaglio, T. and Rieman, J. (1989). User modeling in critics based on a study of human experts. Proceedings of the Fourth Annual Rocky Mountain Conference on Artificial Intelligence, Denver, CO, June 1989, pp. 217–225.
  12. Fischer, G., McCall, R. and Morch, A. (1989). JANUS: integrating hypertext with a knowledge-based design. Proceedings of Hypertext1989, ACM, November 1989, pp. 105–117. · DOI
  13. Fischer, G. and Nieper-Lemke, H. (1989). HELGON: extending the retrieval by reformulation paradigm. Human factors in computing systems, CHI1989 Conference Proceedings (Austin, TX), ACM, New York, May 1989, pp. 357–362. · DOI
  14. Furnas, 1987, The vocabulary problem in human-system communication, Communications of the ACM, 30, 964, 10.1145/32206.32212 · DOI · Paper page
  15. Grudin, 1989, The case against user interface consistency, Communications of the ACM, 32, 1164, 10.1145/67933.67934 · DOI
  16. Kass, 1987, Modeling the user in natural language systems, Computational Linguistics, Special issue on user modeling, 14, 5
  17. Kieras, 1984, The role of a mental model in learning to operate a device, Cognitive Science, 8, 255, 10.1207/s15516709cog0803_3 · DOI · Paper page
  18. Lemke, A.C. (1989). Design Environments for High-Functionality Computer Systems. Unpublished Ph.D. Dissertation, Department of Computer Science, University of Colorado.
  19. Malone, 1983, How do people organize their desks? Implications for the design of office information systems, ACM Transactions on Office Information Systems, 1, 99, 10.1145/357423.357430 · DOI
  20. Newell, 1976, Computer science as an empirical inquiry: symbols and search, Communications of the ACM, 19, 113, 10.1145/360018.360022 · DOI
  21. Reiser, B.J., Anderson, J.R. and Farrell, R.G. (1985). Dynamic student modeling in an intelligent tutor for LISP programming. Proceedings of the Ninth International Joint Conference on Artificial Intelligence, AAAI, 1985, pp. 8–14.
  22. Rich, 1983, Users are individuals: individualizing user models, International Journal of Man-Machine Studies, 18, 199, 10.1016/S0020-7373(83)80007-8 · DOI
  23. Standish, 1984, An essay on software reuse, IEEE Transactions on Software Engineering, SE-10, 494, 10.1109/TSE.1984.5010272 · DOI

Cited by

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Metadata

Authors
Fischer, G.
Affiliations
University of Colorado Boulder (US)
Corresponding author
Fischer, Gerhard
Venue
Human Factors in Information Technology
Publisher
Elsevier
Published
1991
Pages
3-36
ISSN
0923-8433 (ISSN-L)
OpenAlex
W1566692431
Cited by
43
References
2
Citations by year
2026: 1 · 2025: 2 · 2024: 1 · 2022: 1 · 2018: 3 · 2012: 1
FWCI
2.39
Type
book chapter
Language
en
Open access
closed
Locations
Human factors in information technology (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Complex Systems and Decision Making
Keywords
complex systems, comprehensibility, models, collaborative problem solving, human-computer systems, user models, system model, design environment, user modeling

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