Search research articles

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

Training of laparoscopic novices both individually and in dyads using a simulation task.

Journal of robotic surgery·2019

Same author

Regulatory crosstalk between KLF5, miR-29a and Fbw7/CDC4 cooperatively promotes atherosclerotic development.

Biochimica et biophysica acta. Molecular basis of disease·2017

Same author

Near-Infrared Light Triggered Upconversion Optogenetic Nanosystem for Cancer Therapy.

ACS nano·2017

Same author

Non-contact method to freely control the radiation patterns of antenna with multi-folded transformation optics.

Scientific reports·2017

Same author

Cost Effectiveness of Imatinib, Dasatinib, and Nilotinib as First-Line Treatment for Chronic-Phase Chronic Myeloid Leukemia in China.

Clinical drug investigation·2017

Same author

Improving Performance of Breast Cancer Risk Prediction by Incorporating Optical Density Image Feature Analysis: An Assessment.

Academic radiology·2017

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Mar 10, 2026

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion

Published on: January 20, 2019

Reaction time for processing visual stimulus in a computer-assisted rehabilitation environment.

Yerly Sanchez¹, David Pinzon¹, Bin Zheng¹

¹a Surgical Simulation Research Lab , University of Alberta , Edmonton , Alberta , Canada.

Disability and Rehabilitation. Assistive Technology

|December 8, 2016

Summary

Reaction time was slower in virtual rehabilitation environments compared to direct vision. This finding is crucial for designing effective virtual training programs, especially for stroke patients undergoing rehabilitation.

Keywords:

Visual reaction time eye tracking stroke rehabilitation virtual reality

More Related Videos

A Method to Quantify Visual Information Processing in Children Using Eye Tracking

A Method to Quantify Visual Information Processing in Children Using Eye Tracking

Published on: July 9, 2016

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

Related Experiment Videos

Last Updated: Mar 10, 2026

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion

Published on: January 20, 2019

A Method to Quantify Visual Information Processing in Children Using Eye Tracking

A Method to Quantify Visual Information Processing in Children Using Eye Tracking

Published on: July 9, 2016

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

Area of Science:

Neuroscience
Rehabilitation Medicine
Human-Computer Interaction

Background:

Virtual rehabilitation environments offer promising tools for patient recovery.
Assessing cognitive load and reaction time within these environments is critical for optimizing training protocols.
Understanding visual information processing differences between virtual and real-world settings is essential.

Purpose of the Study:

To compare human reaction time when processing visual information in direct vision versus a virtual rehabilitation environment during walking.
To evaluate the impact of virtual environments on cognitive processing speed and accuracy.

Main Methods:

Seven healthy subjects processed visual math problems in both direct vision and a computer-assisted rehabilitation environment (CAREN).
Reaction time, reading time, answering time, and accuracy were measured using Tobii Eye tracking and verbal responses.
Performance metrics were compared between the two visual environments.

Main Results:

A significant difference was observed in reaction time between the direct vision and virtual environments (p=0.004).
Participants exhibited slower reaction times in the virtual rehabilitation environment.
Increased difficulty was noted in recognizing the initial equations within the virtual setting.

Conclusions:

Reaction time is significantly impacted by the virtual environment, being slower than in direct vision.
The findings suggest a need to consider reaction time delays when designing virtual reality-based skill training.
Eye tracking is a viable tool for assessing cognitive function in virtual rehabilitation settings, with implications for stroke patient rehabilitation.