Pic2Tac: Creating Accessible Tactile Images using Semantic Information from Photographs

Karolina Pakenaite, Eirini Kamperou, Michael J. Proulx, Adwait Sharma, Peter Hall

Abstract: We introduce Pic2Tac, a novel system that automatically converts photographs into tactile images. It offers an alternative way to communicate visual information that is difficult to express using braille or alternative text. Current methods for creating tactile images are either limited in representation, or require handmade artefacts. Pic2Tac employs a unique approach that avoids a literal representation of image content (e.g. contours). Instead, it detects salient semantic content within photographs and translates them into tactile images using dedicated ‘tactile words’. Foreground objects are represented using icons, and patterns are used for background regions. The resulting binary image is printed on swell paper, where black regions rise to form a tactile image. Studies involving 60 participants, both sighted and with visual impairments, demonstrate the effectiveness of these tactile images in communicating semantic meaning. Our findings show that tactile and visual descriptions of scenes matched significantly. Overall, Pic2Tac is an affordable way to create accessible tactile images, costing only 1.50 USD per sheet.

External IDs:dblp:conf/tei/PakenaiteKPS024