ArticleJournal of visualized experiments : JoVE2017
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments.
Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Article
- Assessing healthy distrust in human-AI interaction: interpreting changes in visual attention.Frontiers in psychology · 2025Article
- Independent-channels models of temporal-order judgment revisited: A model comparison.Attention, perception & psychophysics · 2024Article
- The time course of salience: not entirely caused by salience.Psychological research · 2022Article
- A Dissociation of Attention, Executive Function and Reaction to Difficulty: Development of the MindPulse Test, a Novel Digital Neuropsychological Test for Precise Quantification of Perceptual-Motor Decision-Making Processes.Frontiers in neuroscience · 2021Article
- Stuck on a Plateau? A Model-Based Approach to Fundamental Issues in Visual Temporal-Order Judgments.Vision (Basel, Switzerland) · 2018Article
- Poking Left To Be Right? A Model-Based Analysis of Temporal Order Judged by Mice.Advances in cognitive psychology · 2018Article
- Peripheral Visual Cues: Their Fate in Processing and Effects on Attention and Temporal-Order Perception.Frontiers in psychology · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This protocol describes how to conduct temporal-order experiments to measure visual processing speed and the attentional resource distribution. The proposed method is based on a new and synergistic combination of three components: the temporal-order judgments (TOJ) paradigm, Bundesen's Theory of Visual Attention (TVA), and a hierarchical Bayesian estimation framework. The method provides readily interpretable parameters, which are supported by the theoretical and neurophysiological underpinnings of TVA. Using TOJs, TVA-based estimates can be obtained for a broad range of stimuli, whereas traditional paradigms used with TVA are mainly limited to letters and digits. Finally, the meaningful parameters of the proposed model allow for the establishment of a hierarchical Bayesian model. Such a statistical model allows assessing results in one coherent analysis both on the subject and the group level. To demonstrate the feasibility and versatility of this new approach, three experiments are reported with attention manipulations in synthetic pop-out displays, natural images, and a cued letter-report paradigm.
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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.