Ability of head-mounted display technology to improve mobility in people with low vision: a systematic review
Open accessAbstract
Purpose: The purpose of this study was to undertake a systematic literature review on how vision enhancements, implemented using head-mounted displays (HMDs), can improve mobility, orientation, and associated aspects of visual function in people with low vision. Methods: The databases Medline, Chinl, Scopus, and Web of Science were searched for potentially relevant studies. Publications from all years until November 2018 were identified based on predefined inclusion and exclusion criteria. The data were tabulated and synthesized to produce a systematic review. Results: The search identified 28 relevant papers describing the performance of vision enhancement techniques on mobility and associated visual tasks. Simplifying visual scenes improved obstacle detection and object recognition but decreased walking speed. Minification techniques increased the size of the visual field by 3 to 5 times and improved visual search performance. However, the impact of minification on mobility has not been studied extensively. Clinical trials with commercially available devices recorded poor results relative to conventional aids. Conclusions: The effects of current vision enhancements using HMDs are mixed. They appear to reduce mobility efficiency but improved obstacle detection and object recognition. The review highlights the lack of controlled studies with robust study designs. To support the evidence base, well-designed trials with larger sample sizes that represent different types of impairments and real-life scenarios are required. Future work should focus on identifying the needs of people with different types of vision impairment and providing targeted enhancements. Translational Relevance: This literature review examines the evidence regarding the ability of HMD technology to improve mobility in people with sight loss.
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The majority of research on visual prostheses and low vision aids has focused on technical aspects rather than usability.
“As pointed out by Htike et al. (2020) and Erickson-Davis and Korzybska (2021), the majority of research on visual prostheses (and more generally: low vision aids) has focused on the technical aspects rather than the usability of these devices.”
From Towards a <i>Smart Bionic Eye</i> : AI-powered artificial vision for the treatment of incurable blindness (2022) · cites this paper as Htike et al., 2020
The Results section, under “Human Computer Interaction Aspects” (page unavailable), says most studies of head-mounted displays as mobility aids did not mention usability-related HCI aspects. That supports the concern about neglected usability, but the review does not establish the same pattern for visual prostheses or low-vision aids generally, nor does this passage say those studies focused on technical aspects instead. (LLM, conf=0.86)
Experimental — accuracy not yet measuredBlind people use a combination of devices and technology to complement their existing orientation and mobility skills, which may lead to a wide variety of navigation styles.
“Furthermore, blind people use a combination of devices and technology to complement their existing orientation and mobility skills (Williams et al., 2014), which may lead to a wide variety of navigation styles (Ahmetovic et al., 2019; Htike et al., 2020).”
From Towards a <i>Smart Bionic Eye</i> : AI-powered artificial vision for the treatment of incurable blindness (2022) · cites this paper as Htike et al., 2020
Htike et al. is cited for the suggestion that combining aids may lead to a wide variety of navigation styles. The Introduction lists mobility aids, and the Discussion considers using head-mounted displays alongside habitual aids, but neither passage addresses whether people consequently navigate in different styles. I searched for navigation styles and individual mobility strategies; our copy did not substantiate that attributed point. (LLM, conf=0.70)
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“An important step towards designing more usable visual prosthetics may thus be to recruit age-appropriate participants for SPV studies.”
- Authors
- Htike, H. M., Margrain, T. H., Lai, Y.-K., & Eslambolchilar, P.
- Affiliations
- Cardiff University (GB)
- Corresponding author
- Eslambolchilar, Parisa
- Venue
- Translational Vision Science & Technology
- Published
- 2020-09-24
- Volume
- 9
- Issue
- 10
- Pages
- 26
- ISSN
- 2164-2591 (ISSN-L)
- PMC
- PMC7521174
- OpenAlex
- W3088082296
- Cited by
- 38
- References
- 86
- Citations by year
- 2026: 3 · 2025: 10 · 2024: 6 · 2023: 8 · 2022: 7 · 2021: 4
- FWCI
- 1.17
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Translational Vision Science & Technology (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
- Topics
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Health Sciences › Medicine › Epidemiology › Ophthalmology and Visual Impairment Studies
- Physical Sciences › Engineering › Media Technology › Advanced Optical Imaging Technologies
- Keywords
- head-mounted displays, low vision, mobility (physical function), vision improvement, visual field expansion, obstacle detection, object recognition, visual search, walking speed, visual impairment, assistive technology
- MeSH terms
- Blindness, Humans, Orientation, Technology, Visual Perception, Vision, Low
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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