Article... International web for all conference. Web for All Conference2024
Enhancing Walk-Light Detector Usage for the Visually Impaired: A Comparison of VR Exploration and Verbal Instructions.
Article in ... International web for all conference. Web for All Conference, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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
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Authors and funding
2 authors.
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Abstract
People with visual impairments (PVI) increasingly rely on camera-enabled smartphone apps for tasks like photography, navigation, and text recognition. Despite the growing use of these applications, precise camera aiming remains a significant challenge. This study explores the impact of virtual reality (VR) exploration compared to traditional text/audio (TA) instructions in the context of learning to use a walk-light detector app at traffic intersections. We developed a VR exploration tool based on insights gathered from interviews with PVI. A user study was conducted, involving 13 PVI participants divided into two groups: VR exploration and TA instructions. Following indoor training using the respective approaches, participants from both groups used the walk light detector app outdoors. According to the participants' subjective feedback, a higher proportion of participants in the TA group found the training easier, potentially due to shortcomings in our VR protocol and differences between the real world and VR. However, more VR participants gained insights into walk light detection and felt unable to use the detector without VR training, compared to the TA group.
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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.