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Related Concept Videos

Vision01:24

Vision

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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Color Vision01:24

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Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
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Performing a Simple Data Analysis using MS-Excel Function01:17

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Microsoft Excel offers a suite of functions and tools ideal for statistical analysis, making it accessible to students and researchers. This article outlines fundamental Excel functions pivotal for data analysis.
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What is Behavior?00:54

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Behaviors are actions that an organism engages in—they can be related to finding food, reproducing, defending against threats, and many other possible actions. Behaviors include activities related to the environment around the animal—such as migration—as well as social interactions within a species or population. Many behaviors involve motor output—that is, muscle movements—while others involve less visible actions, such as learning.
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Depth Perception and Spatial Vision01:15

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Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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Behaviorism01:28

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The field of behaviorism was pioneered by figures such as Ivan Pavlov, John B. Watson, and B.F. Skinner fundamentally shifted the focus of psychology to the observable and controllable aspects of human and animal behavior. This shift marked a critical evolution in the discipline, emphasizing scientific rigor and experimental methodology.
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Related Experiment Video

Updated: Jan 31, 2026

Using Looming Visual Stimuli to Evaluate Mouse Vision
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Visual function, digital behavior and the vision performance index.

Sarah Farukhi Ahmed1, Kyle C McDermott2, Wesley K Burge2

  • 1Shiley Eye Institute of Ophthalmology, University of California, San Diego, CA, USA.

Clinical Ophthalmology (Auckland, N.Z.)
|December 22, 2018
PubMed
Summary
This summary is machine-generated.

Visual acuity is a standard measure of vision, but digital interactions offer new ways to assess broader visual function. This study introduces a tool to analyze digital behavior for continuous, real-world vision health monitoring.

Keywords:
mobile applicationsmobile gamingsoftware applicationstechnologyvideo gamesvision assessmentvision educationvisual acuity

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Area of Science:

  • Ophthalmology and Vision Science
  • Human-Computer Interaction
  • Digital Health

Background:

  • Visual acuity is the traditional metric for visual function, crucial for evaluating treatments.
  • Reduced visual acuity can indicate underlying issues affecting contrast sensitivity, color vision, and visual processing.
  • Traditional visual acuity tests are often confined to clinical settings.

Purpose of the Study:

  • To explore the potential of digital media interactions for assessing visual function beyond traditional clinical measures.
  • To investigate how prolonged digital media exposure impacts various aspects of vision.
  • To introduce a novel tool for integrating vision assessment into everyday digital behavior.

Main Methods:

  • Leveraging high-resolution digital devices to record user responses during typical interactions.
  • Developing a tool for seamless integration into digital media platforms.
  • Utilizing passive, continuous data collection from daily digital behavior.

Main Results:

  • Digital media interactions can be used to measure visual acuity and other visual functions.
  • Daily digital behavior provides a continuous stream of vision-related data.
  • The presented tool offers insights into digital behavior and its impact on vision.

Conclusions:

  • Digital interactions offer a scalable method for vision health assessment outside clinical environments.
  • Continuous monitoring of digital behavior can reveal trends in visual function.
  • Integrating vision assessment into digital media enhances understanding of virtual interactions' effects on eye health.