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”I can’t name it, but I can perceive it” Conceptual and Operational Design of ”Tactile Accuracy” Assisting Tactile Image Cognition

Published: 29 October 2020 Publication History

Abstract

Designing a tactile image for blind people is a significant challenge due to the difficulty of recognizing objects on a 2D line drawing image by touch compared to vision. In this paper, we proposed ”tactile accuracy”, a new criterion to evaluate the performance of recognizing 242 raised line images of common objects for 30 subjects (10 blindfolded sighted subjects, 10 congenitally blind subjects, and 10 late blind subjects), instead of the conventional ”naming accuracy” used in the visual image recognition tasks. We used multi-level evaluation criteria including ”tactile accuracy” to systematically analyze the design factors in tactile images. The results showed that using multi-level evaluate criteria could help unveil the tactile cognitive preferences of different types of subjects for personalized learning. Moreover, we reported important design factors that affect tactile image recognition, thus providing guidelines on the design of tactile images.

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  • (2024)Revisiting visual accessibility with non-textual content: challenges and solutions for human-computer interactionProceedings of the XXIII Brazilian Symposium on Human Factors in Computing Systems10.1145/3702038.3702105(1-18)Online publication date: 7-Oct-2024
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                cover image ACM Conferences
                ASSETS '20: Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility
                October 2020
                764 pages
                ISBN:9781450371032
                DOI:10.1145/3373625
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                Publication History

                Published: 29 October 2020

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                Author Tag

                1. Tactile accuracy;Blind users;Tactile image design;User evaluation

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                Funding Sources

                • the National Natural Science Foundation of China
                • the National Key Research and Development Plan
                • the grant of the National Natural Science Foundation of China
                • the German Research Foundation (DFG) and the National Natural Science Foundation of China in project Crossmodal Learning

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                ASSETS '20 Paper Acceptance Rate 46 of 167 submissions, 28%;
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                Cited By

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                • (2024)Revisiting visual accessibility with non-textual content: challenges and solutions for human-computer interactionProceedings of the XXIII Brazilian Symposium on Human Factors in Computing Systems10.1145/3702038.3702105(1-18)Online publication date: 7-Oct-2024
                • (2023)Pixelated Interactions: Exploring Pixel Art for Graphical Primitives on a Pin Array Tactile DisplayProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3596044(1194-1208)Online publication date: 10-Jul-2023
                • (2023)Understanding (Non-)Visual Needs for the Design of Laser-Cut ModelsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580684(1-20)Online publication date: 19-Apr-2023
                • (2022)ImageExplorer: Multi-Layered Touch Exploration to Encourage Skepticism Towards Imperfect AI-Generated Image CaptionsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501966(1-15)Online publication date: 29-Apr-2022
                • (2022)Graphical Tactile Display Application: Design of Digital Braille Textbook and Initial FindingsHaptic Interaction10.1007/978-3-031-46839-1_10(121-134)Online publication date: 12-Nov-2022

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