Augmented reality glasses as a mobility aid for people with low vision: a feasibility study of experiences and requirements

Eslambolchilar, Parisa ORCID: https://orcid.org/0000-0003-4610-1643, Margrain, Thomas ORCID: https://orcid.org/0000-0003-1280-0809, Htike, Hein Min and Lai, Yukun ORCID: https://orcid.org/0000-0002-2094-5680 2021. Augmented reality glasses as a mobility aid for people with low vision: a feasibility study of experiences and requirements. Presented at: ACM CHI Conference on Human Factors in Computing Systems, Yokohama, Japan, 8-13 May 2021. CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. The ACM CHI Conference Proceedings on Human Factors in Computing Systems is the premier international conference of Human-Computer Interaction. May 8-13, 2021 Yokohama, Japan. ACM, p. 729. 10.1145/3411764.3445327

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Abstract

People with low vision experience reduced mobility that affects their physical and mental wellbeing. With augmented reality (AR) glasses, there are new opportunities to provide visual and auditory information that can improve mobility for this vulnerable group. Current research into AR-based mobility aids has focused mainly on the technical aspects, and less emphasis has been placed on understanding the usability and suitability of these aids in people with various levels of visual impairment. In this paper, we present the results of qualitative interviews with 18 participants using HoloLens v1 and eight prototype augmentations to understand how these enhancements are perceived by people with low vision and how these aids should be adjusted to suit their needs. Our results suggested that participants with moderate vision loss could potentially perceive the most benefit from glasses and underlined the importance of extensive customizability to accommodate the needs of a highly varied low vision population.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Optometry and Vision Sciences Computer Science & Informatics
Publisher:	ACM
ISBN:	9781450380966
Date of First Compliant Deposit:	20 January 2021
Last Modified:	26 Jul 2024 17:27
URI:	https://orca.cardiff.ac.uk/id/eprint/137821

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