Producing accessible intersection maps for people with visual impairments: an initial evaluation of a semi-automated approach - Étude de l’Interaction Personne Système Access content directly
Journal Articles Cartography and Geographic Information Science Year : 2024

Producing accessible intersection maps for people with visual impairments: an initial evaluation of a semi-automated approach

Abstract

Street intersections are challenging for people with visual impairments. While tactile maps are an important support in both mobility training and independent journeys, the caseload of manual map production has made them less accessible. This paper explores the possibility of (semi-)automatically producing tactile maps for street intersections at large scales, with an initial evaluation focused on the graphic aspect of the produced maps. The automation attempts to identify acceptable default parameters and values and proposes an exploration of possible choices for potentially open decisions. It adapts the classic map production process with parameters to present the information tactilely at the intersection scale, and produces representation meaningful for PVIs and realistic for an automatic procedure, resulting in ready-to-print maps in two scales of three sizes, with different levels of details and styles. The resulting maps are evaluated by professionals involved in tactile graphics through a questionnaire to evaluate the defaults and discuss the possibility of open choices. The professionals validated the maps, and their evaluation emphasized the need to have an acceptable default while keeping some options open to cater to the diversity in the visually impaired audience.
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Year Month Jours
Avant la publication
Saturday, February 1, 2025
Embargoed file
Saturday, February 1, 2025
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Dates and versions

hal-04425580 , version 1 (30-01-2024)

Identifiers

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Yuhao Jiang, María-Jesús Lobo, Christophe Jouffrais, Sidonie Christophe. Producing accessible intersection maps for people with visual impairments: an initial evaluation of a semi-automated approach. Cartography and Geographic Information Science, 2024, pp.1-21. ⟨10.1080/15230406.2023.2295043⟩. ⟨hal-04425580⟩
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