Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/35720
Appears in Collections:Psychology Journal Articles
Peer Review Status: Refereed
Title: Visual Field Loss: Integrating Overlayed Information to Increase the Effective Field of View
Author(s): Asher, Jordi M
Hibbard, Paul B
Contact Email: jordi.asher@stir.ac.uk
Keywords: visual field loss
scotoma
hemianopia
augmented reality
assistive technology
rehabilitation
Issue Date: 2022
Date Deposited: 19-Feb-2024
Citation: Asher JM & Hibbard PB (2022) Visual Field Loss: Integrating Overlayed Information to Increase the Effective Field of View. <i>Vision</i>, 6 (4), Art. No.: 67. https://doi.org/10.3390/vision6040067
Abstract: Visual field loss is a debilitating impairment that can impact normal daily activities. The advancement of augmented and virtual realities brings opportunities for potential substitutive technologies for visual field loss. Here we outline a conceptual approach to increasing the amount of useful information by overlaying the blind field into the sighted field. In this proof-of-concept experiment, 33 observers were allocated to either a left or right blind condition (with a simulated scotoma). All observers completed a line bisection task in all three conditions (baseline, scotoma, manipulation), with the baseline condition always completed first. The scotoma condition (baseline with the addition of a simulated scotoma) and the manipulated condition (baseline with the addition of a simulated scotoma, and a “minified window overlay”) were randomised in order of presentation. Predictably, our results show that a simulated scotoma impaired performance on the task. However, observers were able to make use the overlay to improve their estimation of the line’s midpoint. Our results show that a substitutive augmentation of this type improved accuracy in estimating the midpoint of a line with a (simulated) scotoma.
DOI Link: 10.3390/vision6040067
Rights: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

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