The psychology of human-computer interaction
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Claims the paper makes
Cited by
Sorted by citations
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 · see citing works
Interaction in 4-second bursts: the fragmented nature of attentional resources in mobile HCI
Oulasvirta, A., Tamminen, S., Roto, V., & Kuorelahti, J. (2005) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1054972.1055101 · Cited by 576 · see citing works
Laird, J. E., Lebiere, C., & Rosenbloom, P. S. (2017) · AI Magazine · doi:10.1609/aimag.v38i4.2744 · Cited by 392 · see citing works
“One notable precursor from three decades earlier is the model human processor (Card, Moran, and Newell 1983), which defines an abstract model of structural and timing regularities in human perceptual, mental, and motor processes.”
BackgroundExpert Chess Memory: Revisiting the Chunking Hypothesis
Gobet, F., & Simon, H. A. (1998) · Memory · doi:10.1080/741942359 · Cited by 320 · see citing works
Task-evoked pupillary response to mental workload in human-computer interaction
Iqbal, S. T., Zheng, X. S., & Bailey, B. P. (2004) · CHI '04 Extended Abstracts on Human Factors in Computing Systems · doi:10.1145/985921.986094 · Cited by 317 · see citing works
The nature and transfer of cognitive skills
Taatgen, N. A. (2013) · Psychological Review · doi:10.1037/a0033138 · Cited by 288 · see citing works
Towards an index of opportunity: understanding changes in mental workload during task execution
Iqbal, S. T., Adamczyk, P. D., Zheng, X. S., & Bailey, B. P. (2005) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1054972.1055016 · Cited by 196 · see citing works
Supporting Novice to Expert Transitions in User Interfaces
Cockburn, A., Gutwin, C., Scarr, J., & Malacria, S. (2015) · ACM Computing Surveys · doi:10.1145/2659796 · Cited by 193 · see citing works
Layered evaluation of interactive adaptive systems: framework and formative methods
Paramythis, A., Weibelzahl, S., & Masthoff, J. (2010) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-010-9082-4 · Cited by 145 · see citing works
Leveraging characteristics of task structure to predict the cost of interruption
Iqbal, S. T., & Bailey, B. P. (2006) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1124772.1124882 · Cited by 138 · see citing works
The acquisition of robust and flexible cognitive skills.
Taatgen, N. A., Huss, D., Dickison, D., & Anderson, J. R. (2008) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.137.3.548 · Cited by 115 · see citing works
Decision and stress: cognition and e-accessibility in the information workplace
Adams, R. (2007) · Universal Access in the Information Society · doi:10.1007/s10209-006-0061-9 · Cited by 37 · see citing works
Accessing Google Docs via Screen Reader
Buzzi, M. C., Buzzi, M., Leporini, B., Mori, G., & Penichet, V. M. R. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-14097-6_17 · Cited by 34 · see citing works
Freitas, C. M. D. S., Pimenta, M. S., & Scapin, D. L. (2014) · Handbook of Human Centric Visualization · doi:10.1007/978-1-4614-7485-2_12 · Cited by 28 · see citing works
Systematic Analysis of Mobile Diabetes Management Applications on Different Platforms
Garcia, E., Martin, C., Garcia, A., Harrison, R., & Flood, D. (2011) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-25364-5_27 · Cited by 21 · see citing works
Sebok, A., Wickens, C., Sarter, N., Quesada, S., Socash, C., & Anthony, B. (2012) · Human Factors and Ergonomics in Manufacturing & Service Industries · doi:10.1002/hfm.20389 · Cited by 12 · see citing works
Zimmer, J. C., Tams, S., Craig, K., Thatcher, J., & Pak, R. (2015) · Journal of Business Economics · doi:10.1007/s11573-015-0762-8 · Cited by 9 · see citing works
Measuring the Mental Health of Content Reviewers, a Systematic Review
Gonzalez, A., & Matias, J. N. (2025) · arXiv · doi:10.48550/arxiv.2502.00244 · Cited by 1 · see citing works
“Psychological measurement has played a central role in the fields of human-computer interaction and computer-supported cooperative work [33, 61, 98, 131, 133].”
Fu, J., Grierson, M., Jiang, R., Fu, S., He, M., & Xu, M. (2025) · Frontiers in Computer Science · doi:10.3389/fcomp.2025.1591289 · Cited by 1 · see citing works
Human-Clinical AI Agent Collaboration
Kadem, M., & Al-Khazraji, B. (2025) · Proceedings of the AAAI Symposium Series · doi:10.1609/aaaiss.v6i1.36060
“Such simulations would also provide testbeds for human-AI interaction theories (Card 2017) to improve decision making, trans-parency, accountability, reduce cognitive load and blind acceptance (Paleyes, Urma, and Lawrence 2022) of AI recommendations.”
- Authors
- Huesmann, L. R., Card, S. K., Moran, T. P., & Newell, A.
- ORCID
- Huesmann, L. Rowell
- Venue
- The American Journal of Psychology
- Publisher
- University of Illinois Press
- Published
- 1984
- Volume
- 97
- Issue
- 4
- Pages
- 625
- ISSN
- 0002-9556 (ISSN-L)
- OpenAlex
- W4301105553
- Cited by
- 1,177
- References
- 0
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 23 · 2023: 20 · 2022: 44 · 2021: 33 · 2020: 32 · 2019: 22 · 2018: 25 · 2017: 46 · 2016: 39 · 2015: 42 · 2014: 36 · 2013: 37 · 2012: 40
- FWCI
- 22.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The American Journal of Psychology (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Keywords
- human-computer interaction, user experience, human factors
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.
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