Many individuals with visual impairments have residual vision that often remains underused by assistive technologies. Head-mounted augmented reality (AR) devices can provide assistance, by recoding difficult-to-perceive information into a visual format that is more accessible. Here, we evaluate symbolic and alphanumeric information representations for their efficiency and usability in two prototypical AR applications: namely, recognizing facial expressions of conversational partners and reading the time. We find that while AR provides a general benefit, the complexity of the visual representations has to be matched to the user’s visual acuity.
CITATION STYLE
Lang, F., Schmidt, A., & Machulla, T. (2020). Augmented reality for people with low vision: Symbolic and alphanumeric representation of information. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12376 LNCS, pp. 146–156). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-58796-3_19
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