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

Blind Procedures02:07

Blind Procedures

10.6K
Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which...
10.6K

You might also read

Related Articles

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

Sort by
Same journal

Human-AI Interaction in Interventional Radiology: A Narrative Review of Current Applications, Challenges, and Future Directions.

Journal of imaging·2026
Same journal

Coronary Artery Anomalies and Anatomical Variants: Cross-Sectional Diagnostic Imaging and Clinical Background.

Journal of imaging·2026
Same journal

YoLeTooth: A Unified Framework for Joint Tooth Segmentation and Periapical Lesion Detection in Panoramic Radiographs.

Journal of imaging·2026
Same journal

Radiomics-Guided Multi-Sequence Learning for Pathological Complete Response Prediction from Breast MRI with Missing Auxiliary Sequences.

Journal of imaging·2026
Same journal

Cutaneous Thermography in Arthropathies: Quantitative Imaging, Machine Learning, and Clinical Translation.

Journal of imaging·2026
Same journal

Two-Stage Dynamic Synergistic Segmentation Method for Myocardial Pathology.

Journal of imaging·2026
See all related articles

Related Experiment Video

Updated: Jul 10, 2025

Methods to Test Visual Attention Online
09:44

Methods to Test Visual Attention Online

Published on: February 19, 2015

11.9K

Detecting Deceptive Dark-Pattern Web Advertisements for Blind Screen-Reader Users.

Satwik Ram Kodandaram1, Mohan Sunkara1, Sampath Jayarathna1

  • 1Department of Computer Science, Old Dominion University, Norfolk, VA 23529, USA.

Journal of Imaging
|November 24, 2023
PubMed
Summary
This summary is machine-generated.

Blind website users are often misled by advertisements that blend into page content. This study developed an algorithm to detect these deceptive ads, improving accessibility for visually impaired individuals navigating the web.

Keywords:
accessibilityad blockersblind usersdark patternsdeceptive advertsextraneous contentmulti-modal classificationscreen readers

More Related Videos

Measuring Attentional Biases for Threat in Children and Adults
08:25

Measuring Attentional Biases for Threat in Children and Adults

Published on: October 19, 2014

15.3K
Author Spotlight: An Automated Method for Assessing Visual Acuity in Infants and Toddlers Using an Eye-Tracking System
05:10

Author Spotlight: An Automated Method for Assessing Visual Acuity in Infants and Toddlers Using an Eye-Tracking System

Published on: March 17, 2023

2.8K

Related Experiment Videos

Last Updated: Jul 10, 2025

Methods to Test Visual Attention Online
09:44

Methods to Test Visual Attention Online

Published on: February 19, 2015

11.9K
Measuring Attentional Biases for Threat in Children and Adults
08:25

Measuring Attentional Biases for Threat in Children and Adults

Published on: October 19, 2014

15.3K
Author Spotlight: An Automated Method for Assessing Visual Acuity in Infants and Toddlers Using an Eye-Tracking System
05:10

Author Spotlight: An Automated Method for Assessing Visual Acuity in Infants and Toddlers Using an Eye-Tracking System

Published on: March 17, 2023

2.8K

Area of Science:

  • Human-Computer Interaction
  • Web Accessibility Research
  • Digital Advertising

Background:

  • Web advertisements are prevalent but primarily designed for visual interaction.
  • The impact of advertisements on blind users relying on screen readers is under-researched.
  • Existing studies on non-visual web interaction overlook the specific challenges posed by ad content.

Purpose of the Study:

  • To investigate how contextually deceptive advertisements affect blind users' web browsing experience.
  • To develop and evaluate an automated method for identifying contextually deceptive ads.
  • To enhance web accessibility for visually impaired users by addressing ad-related barriers.

Main Methods:

  • Conducted an interview study with 18 blind participants to understand their experiences with web ads.
  • Developed a detection model using a multi-modal approach combining handcrafted and automatically extracted features.
  • Evaluated the model's performance on a test dataset and real-world websites.

Main Results:

  • Blind users reported being frequently deceived by ads that blend seamlessly with website content.
  • The developed algorithm achieved high detection accuracy, with F1 scores of 0.86 on a test dataset and 0.88 on live websites.
  • Identified limitations of ad blockers, particularly their ineffectiveness against internally injected ads and website access restrictions.

Conclusions:

  • Contextually deceptive advertisements pose a significant challenge to blind web users.
  • The proposed detection algorithm offers a viable solution for identifying and potentially mitigating deceptive ads.
  • Further research and development are needed to improve the accessibility of web advertising for visually impaired individuals.