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Related Experiment Video

Updated: Nov 11, 2025

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
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Design Guidelines of a Computer-Based Intervention for Computer Vision Syndrome: Focus Group Study and Real-World

Youjin Hwang1, Donghoon Shin1, Jinsu Eun1

  • 1Human Computer Interaction and Design Lab, Seoul National University, Seoul, Republic of Korea.

Journal of Medical Internet Research
|March 29, 2021
PubMed
Summary
This summary is machine-generated.

Computer vision syndrome (CVS) affects many users. This study identified key interface elements, like instruction pages and feedback, that improve engagement with computer-based interventions for eye strain relief.

Keywords:
computer vision syndromecomputer-based interventiondeployment studysystem interface

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Area of Science:

  • Human-Computer Interaction
  • Digital Health Interventions
  • Ophthalmology

Background:

  • Prolonged computer use leads to computer vision syndrome (CVS), affecting approximately 70% of users.
  • CVS symptoms include eye strain, blurred vision, and irritation.
  • Effective interventions for CVS require understanding optimal computer-based interface design.

Purpose of the Study:

  • To explore interface elements of computer-based interventions for CVS.
  • To establish design guidelines based on the efficacy of various interface elements.
  • To identify factors influencing user participation in CVS interventions.

Main Methods:

  • An iterative user study involving a workshop to evaluate existing CVS interface elements.
  • Development and deployment of a prototype system, LiquidEye, with 11 interface options.
  • 14-day real-world deployment of LiquidEye, collecting daily logs (n=680), surveys, and interviews.

Main Results:

  • Multiple regression analysis identified significant interface elements influencing user participation.
  • Key factors include: instruction pages for eye resting (P=.01), goal setting (P=.009), compliment feedback (P<.001), mid-size pop-ups (P=.02), and CVS symptom reporting (P=.004).

Conclusions:

  • Design implications for computer-based CVS interventions were suggested.
  • Customizable interfaces can enhance user interaction and engagement in managing eye conditions.
  • Findings contribute to the research of computer-based intervention designs for various conditions.