Evidence map›Paper›PMID 25004371›Full record

ReviewCurrent biology : CB2014

Modeling task control of eye movements.

Mary Hayhoe, Dana Ballard

Abstract readReview
In one paragraph

Review in Current biology : CB, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed.

  1. Article
  2. Review
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  7. Article
  8. Review
  9. Active vision in freely moving marmosets using head-mounted eye tracking.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. Active vision in freely moving marmosets using head-mounted eye tracking.bioRxiv : the preprint server for biology · 2024
    Article
  12. Article
  13. Article
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  15. Article
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  19. Search strategies improve with practice, but not with time pressure or financial incentives.Journal of experimental psychology. Human perception and performance · 2021
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Mary HayhoeDepartment of Psychology, 108 E. Dean Keeton, Stop A8000, The University of Texas at Austin, Austin, TX 78712, USA. Electronic address: mary@mail.cps.utexas.edu.
Dana BallardDepartment of Computer Science, 2317 Speedway, Stop D9500, The University of Texas at Austin, Austin, TX 78712, USA. Electronic address: dana@cs.utexas.edu.

Funding

VISUAL SENSITIVITY REGULATION &COLOR CODINGR01EY005729 · NEI · UNIVERSITY OF TEXAS AT AUSTIN · PI HAYHOE, MARY M · 1985 to 2023
$7.0M
Neural Models of BehaviorR01EY019174 · NEI · UNIVERSITY OF TEXAS AT AUSTIN · PI BALLARD, DANA H. · 2009 to 2011
$974k
NEI NIH HHS EY 019174NEI NIH HHS EY05729NEI NIH HHS R01 EY005729NEI NIH HHS R01 EY019174
6 · The paper itself

Abstract

In natural behavior, visual information is actively sampled from the environment by a sequence of gaze changes. The timing and choice of gaze targets, and the accompanying attentional shifts, are intimately linked with ongoing behavior. Nonetheless, modeling of the deployment of these fixations has been very difficult because they depend on characterizing the underlying task structure. Recently, advances in eye tracking during natural vision, together with the development of probabilistic modeling techniques, have provided insight into how the cognitive agenda might be included in the specification of fixations. These techniques take advantage of the decomposition of complex behaviors into modular components. A particular subset of these models casts the role of fixation as that of providing task-relevant information that is rewarding to the agent, with fixation being selected on the basis of expected reward and uncertainty about environmental state. We review this work here and describe how specific examples can reveal general principles in gaze control.

Indexed as

Models, BiologicalBayes TheoremEye MovementsFixation, OcularHumansPsychomotor PerformanceRewardUncertainty

Identifiers

PMID25004371
PMCPMC4150691

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.