ArticleExperimental brain research2023
Tapping on a target: dealing with uncertainty about its position and motion.
Article in Experimental brain research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed.
- Online updating of obstacle positions when intercepting a virtual target.Experimental brain research · 2023Trial
- Perceptual grouping can affect the online control of goal-directed hand movements.Experimental brain research · 2026Article
- Serial dependence in goal-directed interceptive hand movements.BMC biology · 2026Article
- Intercepting moving targets: does the visuomotor latency depend on whether one taps on the target or slides through it?Experimental brain research · 2026Article
- Prediction of uncertain visual trajectories is biased toward motion continuity.Attention, perception & psychophysics · 2026Article
- SAMViTrack: A Search-Region Adaptive Mamba-ViT Tracker for Real-Time UAV Tracking.Sensors (Basel, Switzerland) · 2025Article
- How a target's speed influences the extent to which the time or place at which it is intercepted is adjusted.Experimental brain research · 2025Article
- Do people only adjust ongoing movements vigorously when it is advantageous to do so?Experimental brain research · 2025Article
- Visual factors that determine sensory uncertainty in rapid interceptive hand movements.Journal of vision · 2025Article
- Article
- The development and validation of a tablet-based assessment battery of general cognitive ability.BMC psychology · 2024Article
- Similar extrapolation of moving objects' locations for perception and saccades.Journal of vision · 2024Article
- Grasping tiny objects.Psychological research · 2024Article
- Express Visuomotor Responses Reflect Knowledge of Both Target Locations and Contextual Rules during Reaches of Different Amplitudes.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Spatial contextual cues that help predict how a target will accelerate can be used to guide interception.Journal of vision · 2023Article
- The potential of digital behavioural tests as a diagnostic aid for psychosis.PLOS digital health · 2023Article
- The effect of impaired velocity signals on goal-directed eye and hand movements.Scientific reports · 2023Article
- Article
- Continuous use of visual information about the position of the moving hand.Experimental brain research · 2023Article
- How the timing of visual feedback influences goal-directed arm movements: delays and presentation rates.Experimental brain research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Reaching movements are guided by estimates of the target object's location. Since the precision of instantaneous estimates is limited, one might accumulate visual information over time. However, if the object is not stationary, accumulating information can bias the estimate. How do people deal with this trade-off between improving precision and reducing the bias? To find out, we asked participants to tap on targets. The targets were stationary or moving, with jitter added to their positions. By analysing the response to the jitter, we show that people continuously use the latest available information about the target's position. When the target is moving, they combine this instantaneous target position with an extrapolation based on the target's average velocity during the last several hundred milliseconds. This strategy leads to a bias if the target's velocity changes systematically. Having people tap on accelerating targets showed that the bias that results from ignoring systematic changes in velocity is removed by compensating for endpoint errors if such errors are consistent across trials. We conclude that combining simple continuous updating of visual information with the low-pass filter characteristics of muscles, and adjusting movements to compensate for errors made in previous trials, leads to the precise and accurate human goal-directed movements.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.