The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Lag as a determinant of human performance in interactive systems
Open accessAbstract
The sources of lag (the delay between input action and output response) and its effects on human performance are discussed. We measured the effects in a study of target acquisition using the classic Fitts' law paradigm with the addition of four lag conditions. At the highest lag tested (225 ms), movement times and error rates increased by 64% and 214% respectively, compared to the zero lag condition. We propose a model according to which lag should have a multiplicative effect on Fitts' index of difficulty. The model accounts for 94% of the variance and is better than alternative models which propose only an additive effect for lag. The implications for the design of virtual reality systems are discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
A morphological analysis of the design space of input devices
Card, S. K., Mackinlay, J. D., & Robertson, G. G. (1991) · ACM Transactions on Information Systems · doi:10.1145/123078.128726 · Cited by 337 · cited 1×
“this the index of performance, 1P.) Furthermore, if ID is calculated using the effective target width (We), adjusted for errors or spatial variability in responses, then bandwidth encompasses speed and accuracy.l This provocative measure – somewhat analogous to efficiency – holds tremendous promise for measurement and…”
Method
Cited by
Human Performance Issues and User Interface Design for Teleoperated Robots
Chen, J. Y. C., Haas, E. C., & Barnes, M. J. (2007) · IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) · doi:10.1109/tsmcc.2007.905819 · Cited by 646
A survey of 3D object selection techniques for virtual environments
Argelaguet, F., & Andujar, C. (2013) · Computers & Graphics · doi:10.1016/j.cag.2012.12.003 · Cited by 521
The optimal controller delay for myoelectric prostheses
Farrell, T. R., & Weir, R. F. (2007) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2007.891391 · Cited by 438
1 € filter: a simple speed-based low-pass filter for noisy input in interactive systems
Casiez, G., Roussel, N., & Vogel, D. (2012) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/2207676.2208639 · Cited by 422
Rotating virtual objects with real handles
Ware, C., & Rose, J. (1999) · ACM Transactions on Computer-Human Interaction · doi:10.1145/319091.319102 · Cited by 133
Self-citation
Metadata
- Authors
- MacKenzie, I. S., & Ware, C.
- Venue
- Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '93
- Publisher
- ACM Press
- Published
- 1993
- Pages
- 488-493
- OpenAlex
- W2115592467
- Cited by
- 418
- References
- 2
- FWCI
- 1.79
- Type
- conference paper
- Language
- en
- Open access
- bronze
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Lag as a determinant of human performance in interactive systems. https://app.cochat.ai/papers/10.1145/169059.169431
- The paper
- MacKenzie, I. S., & Ware, C. (1993). Lag as a determinant of human performance in interactive systems. Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '93. https://doi.org/10.1145/169059.169431
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.