ArticleBehavior research methods2026
Computational modeling uncovers a dynamic interaction between feature uncertainty and perception-action mapping scaling in visual perception.
Article in Behavior research methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Previous studies have shown that visual feature estimation is influenced by internal (sensory) and external (physical) noise, as well as the perception-action mapping process - the transformation of internal perceptual representations into motor responses. However, their interactions remain poorly understood. To investigate this, we conducted two experiments. In Experiment 1, participants estimated self-motion direction (heading) from 3D dot-cloud optic flow, with or without a preceding color-discrimination task to manipulate internal noise magnitudes. In Experiment 2, we introduced randomly moving noise dots (0% or 40% replacement) to vary internal and external noise concurrently. We employed a mixed experimental design that included both between- and within-subject comparisons across participant groups. Results showed systematic variations in estimation errors and response variability across conditions. We developed computational models with one {c}, two {
Indexed as
Identifiers
41975051What 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.