The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
The Prospects for Psychological Science in Human-Computer Interaction
Abstract
This paper discusses the prospects of psychology playing a significant role in the progress of human-computer interaction. In any field, hard science (science that is mathematical or otherwise technical) has a tendency to drive out softer sciences, even if the softer sciences have important contributions to make. It is possible that, as computer science and artificial intelligence contributions to human-computer interaction mature, this could happen to psychology. It is suggested that this trend might be prevented by hardening the applicable psychological science. This approach, however, has been criticized on the grounds that the resulting body of knowledge would be too low level, too limited in scope, too late to affect computer technology, and too difficult to apply. The prospects for overcoming each of these obstacles are analyzed here.
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Cites
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1956) · Psychological Review · doi:10.1037/h0043158 · Cited by 17,812
Acquisition of cognitive skill
Anderson, J. R. (1982) · Psychological Review · doi:10.1037/0033-295x.89.4.369 · Cited by 3,663
Direct Manipulation: A Step Beyond Programming Languages
Shneiderman (1983) · Computer · doi:10.1109/mc.1983.1654471 · Cited by 1,939
Categorization of action slips
Norman, D. A. (1981) · Psychological Review · doi:10.1037/0033-295x.88.1.1 · Cited by 1,736
Model of human visual-motion sensing
Watson, A. B., & Ahumada, A. J. (1985) · Journal of the Optical Society of America A · doi:10.1364/josaa.2.000322 · Cited by 1,170
Soft machines: A philosophy of user-computer interface design
Nakatani, L. H., & Rohrlich, J. A. (1983) · Proceedings of the SIGCHI conference on Human Factors in Computing Systems - CHI '83 · doi:10.1145/800045.801573 · Cited by 59
Cited by
Heuristic evaluation of user interfaces
Nielsen, J., & Molich, R. (1990) · Proceedings of the SIGCHI conference on Human factors in computing systems Empowering people - CHI '90 · doi:10.1145/97243.97281 · Cited by 3,533
Fitts' Law as a Research and Design Tool in Human-Computer Interaction
MacKenzie, I. S. (1992) · Human–Computer Interaction · doi:10.1207/s15327051hci0701_3 · Cited by 1,637
Duric, Z., Gray, W. D., Heishman, R., Li, F., Rosenfeld, A., Schoelles, M. J., Schunn, C., & Wechsler, H. (2002) · Proceedings of the IEEE · doi:10.1109/jproc.2002.801449 · Cited by 185
A human motor behavior model for distal pointing tasks
Kopper, R., Bowman, D. A., Silva, M. G., & McMahan, R. P. (2010) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2010.05.001 · Cited by 178
A Semantic Analysis of the Design Space of Input Devices
Mackinlay, J., Card, S. K., & Robertson, G. G. (1990) · Human–Computer Interaction · doi:10.1080/07370024.1990.9667153 · Cited by 152
Self-citation
Metadata
- Authors
- Newell, A., & Card, S. K.
- Venue
- Human–Computer Interaction
- Publisher
- Informa UK Limited
- Published
- 1985-09
- Volume
- 1
- Issue
- 3
- Pages
- 209-242
- ISSN
- 0737-0024 (ISSN-L)
- 1532-7051
- OpenAlex
- W1969640700
- Cited by
- 370
- References
- 6
- FWCI
- 20.45
- Type
- journal article
- Language
- en
- Open access
- closed
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