ArticleeLife2018
Augmented reality powers a cognitive assistant for the blind.
Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Enhanced Depth Navigation Through Augmented Reality Depth Mapping in Patients with Low Vision.Scientific reports · 2019Trial
- Machine Learning Techniques for Simulating Human Psychophysical Testing of Low-Resolution Phosphene Face Images in Artificial Vision.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Review
- Human-AI Collaboration for Remote Sighted Assistance: Perspectives from the LLM Era.Future internet · 2024Article
- A brief reference to AI-driven audible reality (AuRa) in open world: potential, applications, and evaluation.Frontiers in artificial intelligence · 2024Article
- Losing, preserving, and restoring vision from neurodegeneration in the eye.Current biology : CB · 2023Review
- Design of Audio-Augmented-Reality-Based O&M Orientation Training for Visually Impaired Children.Sensors (Basel, Switzerland) · 2022Article
- Helping Helpers: Supporting Volunteers in Remote Sighted Assistance with Augmented Reality Maps.DIS. Designing Interactive Systems (Conference) · 2022Article
- Opportunities for Human-AI Collaboration in Remote Sighted Assistance.IUI. International Conference on Intelligent User Interfaces · 2022Article
- Crossmodal Postdiction: Conscious Perception as Revisionist History.Journal of perceptual imaging · 2022Article
- Multisensory perception in Argus II retinal prosthesis patients: Leveraging auditory-visual mappings to enhance prosthesis outcomes.Vision research · 2021Article
- Augmented Reality in Ophthalmology: Applications and Challenges.Frontiers in medicine · 2021Review
- Towards optogenetic vision restoration with high resolution.PLoS computational biology · 2020Article
- Article
- Navigational aid use by individuals with visual impairments.Journal on technology and persons with disabilities : ... Annual International Technology and Persons with Disabilities Conference · 2020Article
- Quality of Life Assessment of Severely Visually Impaired Individuals Using Aira Assistive Technology System.Translational vision science & technology · 2020Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To restore vision for the blind, several prosthetic approaches have been explored that convey raw images to the brain. So far, these schemes all suffer from a lack of bandwidth. An alternate approach would restore vision at the cognitive level, bypassing the need to convey sensory data. A wearable computer captures video and other data, extracts important scene knowledge, and conveys that to the user in compact form. Here, we implement an intuitive user interface for such a device using augmented reality: each object in the environment has a voice and communicates with the user on command. With minimal training, this system supports many aspects of visual cognition: obstacle avoidance, scene understanding, formation and recall of spatial memories, navigation. Blind subjects can traverse an unfamiliar multi-story building on their first attempt. To spur further development in this domain, we developed an open-source environment for standardized benchmarking of visual assistive devices.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.