ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2014
Predicting human visuomotor behaviour in a driving task.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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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.
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Who cites it
27 citing papers in PubMed.
- When knowing the activity is not enough to predict gaze.Journal of vision · 2024Article
- Attentional heterogeneity in social anxiety disorder: Evidence from Hidden Markov Models.Behaviour research and therapy · 2024Article
- Resolving uncertainty on the fly: modeling adaptive driving behavior as active inference.Frontiers in neurorobotics · 2024Article
- What are the visuo-motor tendencies of omnidirectional scene free-viewing in virtual reality?Journal of vision · 2022Article
- Gaze Strategies in Driving-An Ecological Approach.Frontiers in psychology · 2022Review
- The Hierarchical Evolution in Human Vision Modeling.Topics in cognitive science · 2021Review
- Look-ahead fixations during visuomotor behavior: Evidence from assembling a camping tent.Journal of vision · 2021Article
- Dynamic scan paths investigations under manual and highly automated driving.Scientific reports · 2021Article
- Drivers use active gaze to monitor waypoints during automated driving.Scientific reports · 2021Article
- Inattention and Uncertainty in the Predictive Brain.Frontiers in neuroergonomics · 2021Article
- Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset.Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence · 2020Article
- Effects of an Active Visuomotor Steering Task on Covert Attention.Journal of eye movement research · 2019Article
- Gaze behavior and cognitive states during fingerprint target group localization.Cognitive research: principles and implications · 2019Article
- Towards a neuroscience of active sampling and curiosity.Nature reviews. Neuroscience · 2018Review
- Modeling sensory-motor decisions in natural behavior.PLoS computational biology · 2018Article
- Modeling the Human Visuo-Motor System to Support Remote-Control Operation.Sensors (Basel, Switzerland) · 2018Article
- A computational model for driver's cognitive state, visual perception and intermittent attention in a distracted car following task.Royal Society open science · 2018Article
- Understanding active sampling strategies: Empirical approaches and implications for attention and decision research.Cortex; a journal devoted to the study of the nervous system and behavior · 2018Review
- Davida Teller Award Lecture 2017: What can be learned from natural behavior?Journal of vision · 2018Article
- Recentering bias for temporal saccades only: Evidence from binocular recordings of eye movements.Journal of vision · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The sequential deployment of gaze to regions of interest is an integral part of human visual function. Owing to its central importance, decades of research have focused on predicting gaze locations, but there has been relatively little formal attempt to predict the temporal aspects of gaze deployment in natural multi-tasking situations. We approach this problem by decomposing complex visual behaviour into individual task modules that require independent sources of visual information for control, in order to model human gaze deployment on different task-relevant objects. We introduce a softmax barrier model for gaze selection that uses two key elements: a priority parameter that represents task importance per module, and noise estimates that allow modules to represent uncertainty about the state of task-relevant visual information. Comparisons with human gaze data gathered in a virtual driving environment show that the model closely approximates human performance.
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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.