-1::1
Simple Hit Counter
Skip to content

Products

Solutions

×
×
Sign In

EN

EN - EnglishCN - 简体中文DE - DeutschES - EspañolKR - 한국어IT - ItalianoFR - FrançaisPT - Português do BrasilPL - PolskiHE - עִבְרִיתRU - РусскийJA - 日本語TR - TürkçeAR - العربية
Sign In Start Free Trial

RESEARCH

JoVE Journal

Peer reviewed scientific video journal

Behavior
Biochemistry
Bioengineering
Biology
Cancer Research
Chemistry
Developmental Biology
View All
JoVE Encyclopedia of Experiments

Video encyclopedia of advanced research methods

Biological Techniques
Biology
Cancer Research
Immunology
Neuroscience
Microbiology
JoVE Visualize

Visualizing science through experiment videos

EDUCATION

JoVE Core

Video textbooks for undergraduate courses

Analytical Chemistry
Anatomy and Physiology
Biology
Cell Biology
Chemistry
Civil Engineering
Electrical Engineering
View All
JoVE Science Education

Visual demonstrations of key scientific experiments

Advanced Biology
Basic Biology
Chemistry
View All
JoVE Lab Manual

Videos of experiments for undergraduate lab courses

Biology
Chemistry

BUSINESS

JoVE Business

Video textbooks for business education

Accounting
Finance
Macroeconomics
Marketing
Microeconomics

OTHERS

JoVE Quiz

Interactive video based quizzes for formative assessments

Authors

Teaching Faculty

Librarians

K12 Schools

Biopharma

Products

RESEARCH

JoVE Journal

Peer reviewed scientific video journal

JoVE Encyclopedia of Experiments

Video encyclopedia of advanced research methods

JoVE Visualize

Visualizing science through experiment videos

EDUCATION

JoVE Core

Video textbooks for undergraduates

JoVE Science Education

Visual demonstrations of key scientific experiments

JoVE Lab Manual

Videos of experiments for undergraduate lab courses

BUSINESS

JoVE Business

Video textbooks for business education

OTHERS

JoVE Quiz

Interactive video based quizzes for formative assessments

Solutions

Authors
Teaching Faculty
Librarians
K12 Schools
Biopharma

Language

English

EN

English

CN

简体中文

DE

Deutsch

ES

Español

KR

한국어

IT

Italiano

FR

Français

PT

Português do Brasil

PL

Polski

HE

עִבְרִית

RU

Русский

JA

日本語

TR

Türkçe

AR

العربية

    Menu

    JoVE Journal

    Behavior

    Biochemistry

    Bioengineering

    Biology

    Cancer Research

    Chemistry

    Developmental Biology

    Engineering

    Environment

    Genetics

    Immunology and Infection

    Medicine

    Neuroscience

    Menu

    JoVE Encyclopedia of Experiments

    Biological Techniques

    Biology

    Cancer Research

    Immunology

    Neuroscience

    Microbiology

    Menu

    JoVE Core

    Analytical Chemistry

    Anatomy and Physiology

    Biology

    Cell Biology

    Chemistry

    Civil Engineering

    Electrical Engineering

    Introduction to Psychology

    Mechanical Engineering

    Medical-Surgical Nursing

    View All

    Menu

    JoVE Science Education

    Advanced Biology

    Basic Biology

    Chemistry

    Clinical Skills

    Engineering

    Environmental Sciences

    Physics

    Psychology

    View All

    Menu

    JoVE Lab Manual

    Biology

    Chemistry

    Menu

    JoVE Business

    Accounting

    Finance

    Macroeconomics

    Marketing

    Microeconomics

Start Free Trial
Loading...
Home
JoVE Journal
Neuroscience
A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Visio...
A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Visio...
JoVE Journal
Neuroscience
A subscription to JoVE is required to view this content.  Sign in or start your free trial.
JoVE Journal Neuroscience
A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss

A Gaze-Contingent Display Framework for Perceptual Learning Research with Simulated Central Vision Loss

Full Text
851 Views
07:12 min
April 11, 2025

DOI: 10.3791/67596-v

Marcello Maniglia*1, Samyukta Jayakumar*1, Pinar Demirayak*2,3, Elliot Maxwell2,3, Diya Anand1,4, Jamison Cortez1, Jason E. Vice5, Kristina M. Visscher2,3, Aaron R. Seitz1,4

1Department of Psychology,University of California, Riverside, 2Civitan International Research Center,University of Alabama at Birmingham, 3Department of Neurobiology, Heersink School of Medicine,University of Alabama at Birmingham, 4Department of Psychology,Northeastern University, 5Department of Occupational Therapy,University of Alabama at Birmingham

Overview

This study presents a gaze-contingent display framework aimed at facilitating perceptual and oculomotor research related to central vision loss. The framework is designed to simulate the effects of central vision loss, allowing researchers to investigate compensatory oculomotor strategies and behavioral adaptations in affected individuals.

Key Study Components

Area of Science

  • Vision impairment research
  • Perceptual learning
  • Oculomotor behavior

Background

  • Macular degeneration is a leading cause of vision impairment, significantly affecting individuals' daily activities.
  • Current therapeutic approaches for central vision loss are not standardized.
  • The study aims to understand visual processing changes post-vision loss and identify effective training interventions.

Purpose of Study

  • To create a standardized framework for studying behaviors related to central vision loss.
  • To investigate the changes in visual processing through training interventions.
  • To assess the impact of visual changes on compensatory strategies in individuals.

Methods Used

  • The study utilizes a gaze-contingent display interface that simulates a scotoma, allowing participants to perform various visual tasks.
  • Calibration and validation of eye movements are conducted to ensure accuracy during tasks.
  • Participants undergo training in using their peripheral vision with tasks that vary in cognitive load and demand.

Main Results

  • Preliminary results indicate significant processing changes and adaptations in oculomotor tasks based on simulated central vision loss.
  • Performance measures show variability among participants, suggesting individual differences in visual strategy utilization.
  • Participants displayed proficiency in navigating the tasks, with auditory feedback enhancing performance accuracy.

Conclusions

  • This study provides insights into how visual processing adapts following central vision loss and underscores the potential for targeted training interventions.
  • The methods enable exploration of how oculomotor strategies can improve functional vision in individuals with vision impairments.
  • Findings have implications for developing rehabilitation strategies for those experiencing vision loss.

Frequently Asked Questions

What are the advantages of the gaze-contingent display model?
The gaze-contingent display model allows researchers to simulate real-world conditions of vision loss, enabling detailed study of oculomotor and perceptual adaptations.
How is central vision loss simulated in this study?
Central vision loss is simulated using an opaque disc that moves with participants’ eye movements, creating a visual scotoma to study compensatory behaviors.
What types of data are gathered from participants?
Data collected includes measures of eye movement accuracy, task completion times, and participant responses to visual stimuli, allowing for analysis of oculomotor performance.
How can this method be adapted for clinical use?
The framework can be integrated into virtual reality tools, making it accessible for home use by patients who cannot regularly attend lab sessions.
What are some key challenges faced during the study?
Challenges included synchronization of monitors and ensuring consistency of code across data collection sites to maintain task integrity.
What implications do the findings have for vision rehabilitation?
The findings highlight potential strategies for rehabilitation that could improve visual function in individuals with central vision loss, enhancing daily living experiences.

We present development of a gaze-contingent display framework designed for perceptual and oculomotor research simulating central vision loss. This framework is particularly adaptable for studying compensatory behavioral and oculomotor strategies in individuals experiencing both simulated and pathological central vision loss.

Macular degeneration, a leading cause of vision impairment, lacks standardized therapies. It causes central vision loss, forcing reliance on peripheral vision for daily tasks. Our research seeks to understand visual changes after vision loss and develop effective training interventions by establishing a standardized framework for studying central vision loss.

For the experiment, we have faced a variety of challenges such as synchronization errors between monitors due to the need for speedy screen refresh rates for our gaze-contingent display, making sure that the code is consistent across sites on our data collection computers, creating a smooth, short latency movement of the scotoma and accurately measuring the ocular motor performance of participants. By training and assessing portions of the participant's peripheral vision, we're able to look at changes across low, mid, and high levels of visual processing. This will allow us to better understand how these different parts of the visual processing change with perceptual learning following central vision loss.

Our work impacts both scientists'fundamental understanding of learning and its clinical implications, particularly in individuals with vision loss. Our approach allows us to examine what strategies improve different aspects of vision. We can also use these methods to understand what aspects of brain function are changed when we learn to use vision in these various ways.

Our next steps focus on two direction. First, we're using these tools to understand how the brain changes when different aspects of visual processing improve. And second, we're working on implementation of these assessments using tools like VR headsets that patients can use easily at home.

This extends the reach of the work to other populations that can't come into the lab three times a week. To begin, provide the participant with audio-visual instructions for the session tasks. Include dedicated video instructions with screen captures from the actual task for each activity.

Then, explain the instructions verbally to ensure the participant fully understands what to expect during the task. Prior to each task, perform calibration and validation of eye movements. Then, provide the participant with practice trials before beginning each main task.

Clarify any participant questions about the task during the trials. Next, have the subject conduct the fixation task during the initial visit before gaze-contingent tasks. Train participant to position their simulated scotoma within a white central box on the screen for varying durations, while gradually increasing spatial tolerance across trials.

Display a gaze-contingent computer interface with an opaque disc at the center of their gaze, simulating a scotoma that moves with their eye movements. Instruct the participant to move the simulated scotoma close to the opaque disc to reveal the target. To perform free-eye movement tasks, present an instructional video and scripted verbal instructions to the participant.

Then, calibrate and validate the eye tracking system between tasks. Instruct the participant on free-viewing tasks. Conduct tasks that require the participant to use their gaze for varied actions rather than fixating on one area.

Perform scotoma-based tasks by placing the scotoma near a cue to trigger a stimulus. Provide the participant with onscreen instructions at the beginning of tasks. Follow the practice trials to familiarize participants with the task requirements.

Ensure that the participant shows proficiency in using visual layouts, required oculomotor actions, and task responses before measuring performance. After each task, provide auditory feedback to the participant indicating the accuracy of their response. Introduce short breaks of up to one minute during tasks to prevent fatigue.

During fixation-constrained tasks, ask the participant to maintain their head position in the chinrest throughout the task duration. Ensure calibration accuracy remains consistent with the original position during the task. Provide the participant with onscreen instructions, followed by practice trials before the task.

After completing the practice trials, give a reminder set of onscreen instructions before starting the main task. Ask the participant to focus their eyes on the center of the screen using fixation aids, while responding to stimuli that appear in the peripheral vision to either side of the fixation box. Next, ask the participant to respond to stimuli using their right index finger on a five-button response box located to the right.

After each trial, provide auditory feedback to the participant indicating the accuracy of their response. As expected, participant one showed a significant queuing effect at the left location in the exogenous attention task based on cue congruency. However, no significant effect was found at the right location.

For participant two, there was no significant effect of cueing observed at either location. As expected, MNRead task results showed an increase in reading time as font size decreased, with participant two requiring more time than participant one at smaller font sizes. As expected, in the trail making task, both participants took significantly longer to complete part B than part A, with participant two requiring more time in both parts.

Fixation stability was greater for participant two, as indicated by a smaller bivariate contour ellipse area of 51 square degrees, compared to 61 square degrees for participant one. The probability density analysis using kernel density estimation showed distinct preferred retinal locus for both participants.

View the full transcript and gain access to thousands of scientific videos

Sign In Start Free Trial

Explore More Videos

Gaze-contingent DisplayPerceptual LearningMacular DegenerationVision ImpairmentEye TrackingPreferred Retinal LocusCentral Vision LossOculomotor Compensatory BehaviorsRehabilitation InterventionsVisual ProcessingSimulated Vision LossResearch FrameworkTraining EffectsLow Vision

Related Videos

VisualEyes: A Modular Software System for Oculomotor Experimentation

10:41

VisualEyes: A Modular Software System for Oculomotor Experimentation

Related Videos

13.2K Views

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects

11:12

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects

Related Videos

17.8K Views

Visualizing Visual Adaptation

04:43

Visualizing Visual Adaptation

Related Videos

9.5K Views

How to Build a Dichoptic Presentation System That Includes an Eye Tracker

05:48

How to Build a Dichoptic Presentation System That Includes an Eye Tracker

Related Videos

8.9K Views

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

06:46

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Related Videos

7.5K Views

Stereoacuity Improvement using Random-Dot Video Games

06:25

Stereoacuity Improvement using Random-Dot Video Games

Related Videos

15K Views

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

07:45

Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

Related Videos

4.9K Views

Functional Magnetic Resonance Imaging (fMRI) of the Visual Cortex with Wide-View Retinotopic Stimulation

07:11

Functional Magnetic Resonance Imaging (fMRI) of the Visual Cortex with Wide-View Retinotopic Stimulation

Related Videos

2.3K Views

Motion-Acuity Test for Visual Field Acuity Measurement with Motion-Defined Shapes

06:25

Motion-Acuity Test for Visual Field Acuity Measurement with Motion-Defined Shapes

Related Videos

1.1K Views

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis

10:33

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis

Related Videos

13.2K Views

JoVE logo
Contact Us Recommend to Library
Research
  • JoVE Journal
  • JoVE Encyclopedia of Experiments
  • JoVE Visualize
Business
  • JoVE Business
Education
  • JoVE Core
  • JoVE Science Education
  • JoVE Lab Manual
  • JoVE Quizzes
Solutions
  • Authors
  • Teaching Faculty
  • Librarians
  • K12 Schools
  • Biopharma
About JoVE
  • Overview
  • Leadership
Others
  • JoVE Newsletters
  • JoVE Help Center
  • Blogs
  • Site Maps
Contact Us Recommend to Library
JoVE logo

Copyright © 2026 MyJoVE Corporation. All rights reserved

Privacy Terms of Use Policies
WeChat QR code