The DOI matches its Crossref record.
Speed—Accuracy Tradeoffs in Aimed Movements: Toward a Theory of Rapid Voluntary Action
Abstract
As the speed of rapid aimed movements increases, their spatial accuracy typically decreases. The mathematical form of the speed-accuracy tradeoff depends on the type of movement task being performed. Several alternative hypotheses have been proposed to account for this dependence, including ones that make assumptions about feedback-guided corrective submovements and about the stochastic variability of underlying neuromotor force pulses. A new hybrid class of stochastic optimized-subinovement models provides a way to integrate these past accounts in a unified theoretical framework. From the vantage point of this framework, the present chapter reviews the evolution of speed-accuracy tradeoff research and shows how a fresh perspective regarding the properties of elementary movement mechanisms may be obtained.
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
Cited by
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
The speed-accuracy tradeoff: history, physiology, methodology, and behavior
Heitz, R. P. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00150 · Cited by 938
Speed/accuracy trade-offs in target-directed movements
Plamondon, R., & Alimi, A. M. (1997) · Behavioral and Brain Sciences · doi:10.1017/s0140525x97001441 · Cited by 592
The origin and use of positional frames of reference in motor control
Feldman, A. G., & Levin, M. F. (1995) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0004070x · Cited by 585
Frequent Augmented Feedback Can Degrade Learning: Evidence and Interpretations
Schmidt, R. A. (1991) · Tutorials in Motor Neuroscience · doi:10.1007/978-94-011-3626-6_6 · Cited by 378
Metadata
- Authors
- Meyer, D. E., Smith, J. E. K., Kornblum, S., Abrams, R. A., & Wright, C. E.
- Venue
- Attention and Performance XIII
- Publisher
- Psychology Press
- Published
- 2018-12-07
- Pages
- 173-226
- OpenAlex
- W84091793
- Cited by
- 261
- References
- 0
- FWCI
- 11.77
- Type
- book chapter
- Language
- en
- Open access
- closed
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: Speed—Accuracy Tradeoffs in Aimed Movements: Toward a Theory of Rapid Voluntary Action. https://app.cochat.ai/papers/10.4324/9780203772010-6
- The paper
- Meyer, D. E., Smith, J. E. K., Kornblum, S., Abrams, R. A., & Wright, C. E. (2018). Speed—Accuracy Tradeoffs in Aimed Movements: Toward a Theory of Rapid Voluntary Action. Attention and Performance XIII. https://doi.org/10.4324/9780203772010-6
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.
