Evaluating the efficacy of UNav: A computer vision-based navigation aid for persons with blindness or low vision.
UNav is a computer-vision-based localization and navigation aid that provides step-by-step route instructions to reach selected destinations without any infrastructure in both indoor and outdoor environments. Despite the initial literature highlighting UNav's potential, clinical efficacy has not yet...
| Publicado en: | Assistive Technology Vol. 37; no. 6; pp. 459 - 474 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | clinical trial pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Oct2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188856408&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188856408 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10400435 YVP jtl: Assistive Technology issn: 10400435 maglogo: Y pubinfo: dt: Oct2025 vid: 37 iid: 6 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 188856408 180193732 188856408 188856408 10.1080/10400435.2024.2382113 188856408 ppf: 459 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Evaluating the efficacy of UNav: A computer vision-based navigation aid for persons with blindness or low vision. aug: au: Yang, Anbang Tamkittikhun, Nattachart Hamilton-Fletcher, Giles Ramdhanie, Vinay Vu, Thu Beheshti, Mahya Hudson, Todd Vedanthan, Rajesh Riewpaiboon, Wachara Mongkolwat, Pattanasak Feng, Chen Rizzo, John-Ross affil: Department of Mechanical and Aerospace Engineering, NYU Tandon School of Engineering, Brooklyn, New York, USA sug: subj: Blindness Vision, Subnormal Persons with Visual Disabilities Psychosocial Factors Assistive Technology Devices Evaluation Product Evaluation Equipment Design Environment Human Adult Middle Age Male Female Funding Source Clinical Trials Crossover Design Assistive Technology Services Travel Confidence Spatial Perception Recreation Descriptive Statistics Wearable Sensors Algorithms Paired T-Tests Wilcoxon Signed Rank Test Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: UNav is a computer-vision-based localization and navigation aid that provides step-by-step route instructions to reach selected destinations without any infrastructure in both indoor and outdoor environments. Despite the initial literature highlighting UNav's potential, clinical efficacy has not yet been rigorously evaluated. Herein, we assess UNav against standard in-person travel directions (SIPTD) for persons with blindness or low vision (PBLV) in an ecologically valid environment using a non-inferiority design. Twenty BLV subjects (age = 38 ± 8.4; nine females) were recruited and asked to navigate to a variety of destinations, over short-range distances (<200 m), in unfamiliar spaces, using either UNav or SIPTD. Navigation performance was assessed with nine dependent variables to assess travel confidence, as well as spatial and temporal performances, including path efficiency, total time, and wrong turns. The results suggest that UNav is not only non-inferior to the standard-of-care in wayfinding (SIPTD) but also superior on 8 out of 9 metrics, as compared to SIPTD. This study highlights the range of benefits computer vision-based aids provide to PBLV in short-range navigation and provides key insights into how users benefit from this systematic form of computer-aided guidance, demonstrating transformative promise for educational attainment, gainful employment, and recreational participation. pubtype: Academic Journal doctype: clinical trial pictorial research tables/charts Journal Article ougenre: Unknown language: English refInfo: holdings: @attributes: islocal: N |
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