ArticleJournal of experimental psychology. Human perception and performance2013
Automatic feature-based grouping during multiple object tracking.
Article in Journal of experimental psychology. Human perception and performance, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- The capacity limits of moving objects in the imagination.Nature communications · 2025Article
- The Impact of Audio-Visual, Visual and Auditory Cues on Multiple Object Tracking Performance in Children with Autism.Perceptual and motor skills · 2023Article
- Influence of food packaging color and foods type on consumer purchase intention: the mediating role of perceived fluency.Frontiers in nutrition · 2023Article
- Attentional capture in multiple object tracking.Journal of vision · 2021Article
- Examining the roles of working memory and visual attention in multiple object tracking expertise.Cognitive processing · 2020Article
- Multiple-target tracking in human and machine vision.PLoS computational biology · 2020Review
- A novel intervention increases task persistence in smokers with schizophrenia: A proof of concept study.Schizophrenia research · 2020Article
- How Do Humans Perform in Multiple Object Tracking With Unstable Features.Frontiers in psychology · 2020Article
- The Global Properties of Objects Play the Main Role in Facilitating Multiple Object Tracking Performance.Frontiers in psychology · 2019Article
- Contour interpolation: A case study in Modularity of Mind.Cognition · 2018Article
- Article
- Brain activation of semantic category-based grouping in multiple identity tracking task.PloS one · 2017Article
- Visual working memory organization is subject to top-down control.Psychonomic bulletin & review · 2016Article
- Additivity of Feature-Based and Symmetry-Based Grouping Effects in Multiple Object Tracking.Frontiers in psychology · 2016Article
- The Categorical Distinction Between Targets and Distractors Facilitates Tracking in Multiple Identity Tracking Task.Frontiers in psychology · 2016Article
- Multiple forms of contour grouping deficits in schizophrenia: what is the role of spatial frequency?Neuropsychologia · 2014Article
Corrections and comments
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Authors and funding
5 authors.
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Abstract
Contour interpolation automatically binds targets with distractors to impair multiple object tracking (Keane, Mettler, Tsoi, & Kellman, 2011). Is interpolation special in this regard or can other features produce the same effect? To address this question, we examined the influence of eight features on tracking: color, contrast polarity, orientation, size, shape, depth, interpolation, and a combination (shape, color, size). In each case, subjects tracked 4 of 8 objects that began as undifferentiated shapes, changed features as motion began (to enable grouping), and returned to their undifferentiated states before halting. We found that intertarget grouping improved performance for all feature types except orientation and interpolation (Experiment 1 and Experiment 2). Most importantly, target-distractor grouping impaired performance for color, size, shape, combination, and interpolation. The impairments were, at times, large (>15% decrement in accuracy) and occurred relative to a homogeneous condition in which all objects had the same features at each moment of a trial (Experiment 2), and relative to a "diversity" condition in which targets and distractors had different features at each moment (Experiment 3). We conclude that feature-based grouping occurs for a variety of features besides interpolation, even when irrelevant to task instructions and contrary to the task demands, suggesting that interpolation is not unique in promoting automatic grouping in tracking tasks. Our results also imply that various kinds of features are encoded automatically and in parallel during tracking.
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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.