The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Fitts’ Throughput and the Remarkable Case of Touch-Based Target Selection
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In the citing paper
“Fitts' law is primarily used in human-computer interactions and ergonomics evaluations, it expresses human movement as transmitting information through human channels [35], [36].”
From StereoPilot: A Wearable Target Location System for Blind and Visually Impaired Using Spatial Audio Rendering (2022) · cites this paper as [36]
Citations
Cites
The information capacity of the human motor system in controlling the amplitude of movement.
Fitts, P. M. (1954) · Journal of Experimental Psychology · doi:10.1037/h0055392 · Cited by 6,466 · cited 1×
“Most evaluations use target selection tasks modeled after Fitts’ law [4, 5].”
MethodThe information capacity of the human motor system in controlling the amplitude of movement.
Fitts, P. M. (1992) · Journal of Experimental Psychology General · doi:10.1037//0096-3445.121.3.262 · Cited by 6,296
Direct Manipulation: A Step Beyond Programming Languages
Shneiderman (1983) · Computer · doi:10.1109/mc.1983.1654471 · Cited by 1,939
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
Information capacity of discrete motor responses.
Fitts, P. M., & Peterson, J. R. (1964) · Journal of Experimental Psychology · doi:10.1037/h0045689 · Cited by 1,534
Soukoreff, R. W., & MacKenzie, I. S. (2004) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2004.09.001 · Cited by 1,106
Adams, J. A., & Welford, A. T. (1970) · The American Journal of Psychology · doi:10.2307/1421343 · Cited by 864
Direct-touch vs. mouse input for tabletop displays
Forlines, C., Wigdor, D., Shen, C., & Balakrishnan, R. (2007) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1240624.1240726 · Cited by 377
A comparison of input devices in element pointing and dragging tasks
MacKenzie, I. S., Sellen, A., & Buxton, W. A. S. (1991) · Proceedings of the SIGCHI conference on Human factors in computing systems Reaching through technology - CHI '91 · doi:10.1145/108844.108868 · Cited by 371
(2012) · Cited by 370
FFitts law: modeling finger touch with fitts' law
Bi, X., Li, Y., & Zhai, S. (2013) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2470654.2466180 · Cited by 255
Zhai, S. (2004) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2004.09.006 · Cited by 239
Fitts' throughput and the speed-accuracy tradeoff
MacKenzie, I. S., & Isokoski, P. (2008) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1357054.1357308 · Cited by 175
The Information-Capacity of the Human Motor-System in Pursuit Tracking
Crossman, E. R. F. W. (1960) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470216008416694 · Cited by 95
An experimental comparison of touch interaction on vertical and horizontal surfaces
Pedersen, E. W., & Hornbæk, K. (2012) · Nordic Conference on Human-Computer Interaction · doi:10.1145/2399016.2399074 · Cited by 44
A comparison of area pointing and goal crossing for people with and without motor impairments
Wobbrock, J. O., & Gajos, K. Z. (2007) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/1296843.1296847 · Cited by 43
Evaluating effects of structural holds on pointing and dragging performance with flexible displays
Dijkstra, R., Perez, C., & Vertegaal, R. (2011) · ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) · doi:10.1145/1978942.1979135 · Cited by 19
Updating Fitts' Law to Account for Small Targets
Song, H., Clawson, J., & Radu, I. W. (2012) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2011.618096 · Cited by 13
Cited by
Hu, X., Song, A., Wei, Z., & Zeng, H. (2022) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2022.3182661 · Cited by 50
Metadata
- Authors
- Scott MacKenzie, I.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2015
- Pages
- 238-249
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2273102232
- Cited by
- 76
- References
- 18
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 8 · 2023: 8 · 2022: 8 · 2021: 8 · 2020: 4 · 2019: 5 · 2018: 8 · 2017: 8 · 2016: 6
- FWCI
- 5.55
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Keywords
- speed-accuracy trade-off, finger pointing, mice
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.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
