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 Concept Videos

You might also read

Related Articles

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

Sort by
Same author

An Extended Time-Mode Digital Pixel CMOS Image Sensor for IoT Applications.

Sensors (Basel, Switzerland)·2025
Same author

Phasic effects of cardiac-synchronized vagus nerve stimulation on spatiotemporal behavior of the sinoatrial node in swine.

Heart rhythm O2·2025
Same author

Role of Autonomic Dysfunction in Initiating Postoperative Atrial Fibrillation in a Canine Sterile Pericarditis Model.

Pacing and clinical electrophysiology : PACE·2025
Same author

Characteristics of spinal injury in professional golfers in South Korea: a nationwide cross-sectional study.

BMJ open·2025
Same author

Exploring the Posterolateral Corner of the Knee Joint: A Detailed Review of Recent Literature.

Journal of clinical medicine·2025
Same author

Voltage Independent Depth Control and Acute Lesion Formation Findings in Epicardial Pulsed Field Ablation System for Surgical Ablations.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Related Experiment Video

Updated: Apr 8, 2026

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

8.3K

Gaze-Assisted User Intention Prediction for Initial Delay Reduction in Web Video Access.

Seungyup Lee1,2, Juwan Yoo3,4, Gunhee Han5,6

  • 1School of Integrated Technology, Yonsei University, Incheon 406-840, Korea. youb007@yonsei.ac.kr.

Sensors (Basel, Switzerland)
|June 24, 2015
PubMed
Summary

This study introduces a threaded interaction model to predict user intentions for web video access, significantly reducing initial video start delays. The model achieved a 92% hit-ratio, improving user experience by minimizing waiting times.

Keywords:
gaze assistedinitial delay reductionthreaded interaction modeluser intention predictionweb video prefetching

More Related Videos

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.7K
Author Spotlight: Exploring the Link Between Time Perception of Visual Stimuli and Reading Skills
09:27

Author Spotlight: Exploring the Link Between Time Perception of Visual Stimuli and Reading Skills

Published on: January 19, 2024

1.9K

Related Experiment Videos

Last Updated: Apr 8, 2026

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

8.3K
Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.7K
Author Spotlight: Exploring the Link Between Time Perception of Visual Stimuli and Reading Skills
09:27

Author Spotlight: Exploring the Link Between Time Perception of Visual Stimuli and Reading Skills

Published on: January 19, 2024

1.9K

Area of Science:

  • Human-Computer Interaction
  • Web Usability
  • User Experience (UX) Engineering

Background:

  • System response delay significantly impacts user experience (UX), particularly in web video services where initial click-to-start delay affects Quality of Experience (QoE).
  • Minimizing initial system delay requires proactive execution based on predicted user intentions before the command action.
  • Understanding human cognition and behavior, specifically sequential and concurrent resource flow, can enhance intention prediction accuracy and preparation time.

Purpose of the Study:

  • To introduce and apply a threaded interaction model for user intention prediction to reduce initial delay in web video access.
  • To develop a system that prefetches and preloads web video data proactively based on predicted user actions.
  • To improve the accuracy and reduce the preparation time for user intention prediction in web-based interactive systems.

Main Methods:

  • A threaded interaction model comprising candidate selection, decision, and preparation modules was developed.
  • Candidate selection utilized proximity calculations around the cursor to identify potential targets on a web page.
  • The decision module assessed click action probability using cursor-gaze relationships, triggering prefetching when a threshold was met.

Main Results:

  • The proposed model achieved a 92% hit-ratio in predicting user intentions.
  • Average initial delay was reduced to 0.5 seconds, with a worst-case delay of 1.5 seconds.
  • These results demonstrate a significant improvement in prediction accuracy and advance preparation time for web video access.

Conclusions:

  • The threaded interaction model effectively predicts user intentions for proactive web video prefetching.
  • The reduction in initial delay significantly enhances the Quality of Experience (QoE) for web video services.
  • This approach offers a substantial improvement over existing methods for reducing user-perceived latency in interactive web applications.