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"Comparative evaluation of production techniques for tactile map rendering - dataset"

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DataCite Commons2025-07-09 更新2026-05-03 收录
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https://ieee-dataport.org/documents/comparative-evaluation-production-techniques-tactile-map-rendering-dataset
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"Rapid advances in engineering and materials science have introduced new possibilities for fabricating passive haptic interfaces such as tactile maps. This study proposes a dual-aspect evaluation methodology\u2014based on user experience and production efficiency\u2014to assess 12 tactile map production techniques, including additive manufacturing methods (e.g., SLA, UV printing), casting (epoxy resin, silicone), CNC milling, and paper-based techniques (e.g., swell-paper, TIGER). The user experience aspect includes spatial localization tasks, semantic differential ratings, and user rankings conducted with 21 people with visual impairments. It captures tactile comfort, symbol legibility, and perceptual clarity during 90-minute sessions using custom-designed pseudomaps. The production efficiency aspect considers cost, complexity, durability (including weather resistance), and versatility in reproducing hybrid tactile and graphic content. Results showed that paper-based techniques offered high tactile comfort but lower spatial accuracy, legibility, and durability. In contrast, PolyJet and UV printing scored highest overall by balancing perceptual performance and practical production attributes. Several techniques\u2014including UV printing and PolyJet\u2014were evaluated for tactile map production for the first time. Our methodology is modular and adaptable: weights can be adjusted to prioritize specific application needs, such as cost-efficiency or outdoor durability. A case study involving tactile maps of historic gardens demonstrates the framework\u2019s utility in real-world use cases. This work contributes to the design and evaluation of passive haptic interfaces by providing a replicable tool for comparing tactile rendering methods across diverse material and perceptual dimensions."
提供机构:
IEEE DataPort
创建时间:
2025-07-09
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