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

Visual Agnosia01:12

Visual Agnosia

173
Visual agnosia is a condition characterized by the inability to recognize visually presented objects despite having normal vision. For instance, a person with visual agnosia can describe the shape and color of an object but cannot identify or name it. This impairment does not affect their visual field, acuity, color vision, brightness discrimination, language, or memory. An example of this condition in a social setting is someone at a dinner party asking for "that silver thing with a round...
173
Prosopagnosia01:24

Prosopagnosia

122
Prosopagnosia, also known as face blindness, is the inability to recognize faces. In severe cases, individuals with prosopagnosia may not recognize close family members, including parents and spouses, by their faces. For instance, someone with prosopagnosia might walk past their child in a crowd, only realizing their mistake upon noticing their child's distinctive backpack or favorite jacket. Prosopagnosia specifically impairs facial recognition, while the recognition of other objects or...
122
Focusing of Light in the Eye01:16

Focusing of Light in the Eye

1.9K
Light rays enter the eye through the cornea, a transparent dome-shaped tissue that is the eye's outermost layer. The cornea bends or refracts, light rays traveling to the pupil. The shape of the cornea determines how much of the light is bent and whether the image will be focused correctly on the retina at the back of the eye. Once the light has passed through both refraction layers, it converges into a single focal point onto a small area. This is where photoreceptors start transforming...
1.9K
Vision01:24

Vision

52.9K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
52.9K
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 author

From Verbal Reports to Personalized Activity Trackers: Understanding the Challenges of Ground Truth Data Collection with Older Adults in the Wild.

Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies·2026
Same author

Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users.

Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference·2026
Same author

Exploring Collaboration to Center the Deaf Community in Sign Language AI.

ASSETS. Annual ACM Conference on Assistive Technologies·2026
Same author

Enabling Older Adults to Provide High-quality Activity Labels: Unpacking Accuracy, Precision, and Granularity in Activity Labeling.

Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies·2026
Same author

"We are at the mercy of others' opinion": Supporting Blind People in Recreational Window Shopping with AI-infused Technology.

... International web for all conference. Web for All Conference·2025
Same author

Enhancing Walk-Light Detector Usage for the Visually Impaired: A Comparison of VR Exploration and Verbal Instructions.

... International web for all conference. Web for All Conference·2025
Same journal

Beyond Beautiful: Embroidering Legible and Expressive Tactile Graphics.

ASSETS. Annual ACM Conference on Assistive Technologies·2026
Same journal

"Better Than Nothing" or Not Enough? User-Centered Reflections on AI-Generated Audio Descriptions Across Media Formats.

ASSETS. Annual ACM Conference on Assistive Technologies·2026
Same journal

DescribePro: Collaborative Audio Description with Human-AI Interaction.

ASSETS. Annual ACM Conference on Assistive Technologies·2026
Same journal

Minor Resistance: The Everyday Politics and Power Dynamics of Assistive Technology Adoption.

ASSETS. Annual ACM Conference on Assistive Technologies·2026
Same journal

Co-Designing Culturally Grounded Mobile Health Games for Hypertension Management in Indigenous Communities.

ASSETS. Annual ACM Conference on Assistive Technologies·2026
Same journal

Modeling Accessibility: Characterizing What We Mean by "Accessible".

ASSETS. Annual ACM Conference on Assistive Technologies·2026
See all related articles

Related Experiment Video

Updated: May 24, 2025

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

263

Understanding How Blind Users Handle Object Recognition Errors: Strategies and Challenges.

Jonggi Hong1, Hernisa Kacorri2

  • 1Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ, USA.

ASSETS. Annual ACM Conference on Assistive Technologies
|March 3, 2025
PubMed
Summary
This summary is machine-generated.

Blind and low-vision users struggle to identify errors in object recognition systems, even with varied strategies. Improved accessible interface design is crucial for effective use of assistive technologies.

Keywords:
blindcamera-based assistive technologyobject recognition errorsvisual impairment

More Related Videos

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision
09:29

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

Published on: February 11, 2014

13.0K
Stereoacuity Improvement using Random-Dot Video Games
06:25

Stereoacuity Improvement using Random-Dot Video Games

Published on: January 14, 2020

14.1K

Related Experiment Videos

Last Updated: May 24, 2025

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

263
A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision
09:29

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

Published on: February 11, 2014

13.0K
Stereoacuity Improvement using Random-Dot Video Games
06:25

Stereoacuity Improvement using Random-Dot Video Games

Published on: January 14, 2020

14.1K

Area of Science:

  • Human-Computer Interaction
  • Assistive Technology
  • Computer Vision

Background:

  • Object recognition technology offers potential for assisting blind and low-vision individuals in daily navigation.
  • A significant gap exists between the performance of object recognition systems in benchmarks and their practical usability for end-users.
  • Understanding user interaction with these systems, particularly error identification, is vital for improving accessibility.

Purpose of the Study:

  • To investigate how blind and low-vision users interact with object recognition systems to identify and mitigate errors.
  • To explore user experiences, challenges, and strategies when using camera-based assistive technologies for object recognition.
  • To gather insights for designing more effective and accessible interfaces for object recognition error identification.

Main Methods:

  • A user study was conducted with 12 blind and low-vision participants.
  • An existing object recognition system, URCam, was fine-tuned for the experiment.
  • Data was collected through in-depth interviews and hands-on error identification tasks.

Main Results:

  • Participants expressed a preference for independent error review and concerns about misrecognitions.
  • Users employed varied viewpoints, backgrounds, and object sizes to identify and overcome errors.
  • Participants identified only approximately half of the errors, with no significant improvement upon task repetition.

Conclusions:

  • Blind and low-vision users face significant challenges in accurately identifying errors in object recognition systems.
  • Current error identification rates suggest limitations in both the technology and user strategies.
  • Implications for design emphasize the need for accessible interfaces that better support users in detecting and managing object recognition errors.