Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Spatio-temporal organization of behavior.

D H Ballard1, M M Hayhoe, G Salgian

  • 1Department of Computer Science, University of Rochester, NY 14627-0226, USA.

Spatial Vision
|February 24, 2001
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Safety concerns for facial topography customized 3D-printed N95 filtering face-piece respirator produced for the COVID-19 pandemic: initial step is respiratory fit testing.

International journal of oral and maxillofacial surgery·2020
Same author

In vitro evaluation of percutaneous drainage catheters: Flow related to connections and liquid characteristics.

Diagnostic and interventional imaging·2017
Same author

Biliary drainage catheters fluid dynamics: In vitro flow rates and patterns.

Diagnostic and interventional imaging·2017
Same author

Micro-CT evaluation of rheumatoid arthritis mouse model disease progression: Manual tracings versus semi-automated routines.

Diagnostic and interventional imaging·2016
Same author

Sequential inferior vena cava filter insertion and peripherally inserted central catheter placement through upper extremity veins.

Diagnostic and interventional imaging·2015
Same author

Number and location of drainage catheter side holes: in vitro evaluation.

Clinical radiology·2015
Same journal

Comment on 'angle illusion on a picture's surface' by Hammad et al. (2008).

Spatial vision·2009
Same journal

Feature-based attentional modulation increases with stimulus separation in divided-attention tasks.

Spatial vision·2009
Same journal

Spatial distance between target and irrelevant patch modulates detection in a texture segmentation task.

Spatial vision·2009
Same journal

Inhibition related impairments of coherent motion perception in the attention-induced motion blindness paradigm.

Spatial vision·2009
Same journal

Recognition units in reading: backward masking experiments.

Spatial vision·2009
Same journal

Spatial-temporal modeling of interactive image interpretation.

Spatial vision·2009
See all related articles

Attention research is confusing due to varied performance measures. A hierarchical model of visual routines explains attentional effects in human performance, offering clarity for complex tasks like driving.

Area of Science:

  • Cognitive Psychology
  • Human Performance Studies
  • Visual Perception

Background:

  • Attention is a key concept in human performance but is often ambiguously defined.
  • Variability in attentional effects spans large perceptual changes to millisecond-level timing differences.
  • Existing research often lacks a cohesive framework to explain these diverse findings.

Purpose of the Study:

  • To propose a comprehensive model of human performance to clarify the concept of attention.
  • To explain the wide range of attentional effects within a unified theoretical structure.
  • To demonstrate the utility of the model using examples from driving behavior.

Main Methods:

  • Development of a hierarchical model describing task execution through visual routines.

Related Experiment Videos

  • Analysis of how a scheduler selects programs for tasks.
  • Examination of how visual routines extract information during fixations.
  • Consideration of signal-to-noise ratios affecting routine performance.

    • Main Results:

    • The hierarchical model provides a framework to understand attentional effects across different descriptive levels.
    • Visual routines are proposed as fundamental units of information extraction.
    • Task complexity and environmental signal-to-noise characteristics influence attentional performance.

    Conclusions:

    • The proposed model offers a more coherent understanding of attention in human performance.
    • Attention is best understood within the context of the specific descriptive level of behavior being analyzed.
    • This framework can reconcile disparate findings and guide future research in attention and visual perception.