Speculating a Tactile Grammar: Toward Task-Aligned Chart Design for Non-Visual Perception
Areen Khalaila, Dylan Cashman
TL;DR
This paper proposes SenseMap, a tactile perceptual framework that shifts chart design from retrofitting visual encodings to a tactile-first approach aligned with BLV users' perceptual strategies. It defines a Task–Strategy–Encoding mapping to connect analytical goals with tactile-reading methods and encodings, grounded in empirical insights about tactile exploration. Through illustrative mockups of a COVID-19 dashboard, the authors demonstrate how tactile encodings (e.g., equal-width bars with baselines, raised lines with anchors, textured stacked bars) can better support comparison, trend detection, and proportion estimation. The work outlines design guidelines, acknowledges limitations, and sketches a path toward empirical validation, co-design, and tool development to enable broader adoption of tactile-first data visualization.
Abstract
Tactile graphics are often adapted from visual chart designs, yet many of these encodings do not translate effectively to non-visual exploration. Blind and low-vision (BLV) people employ a variety of physical strategies such as measuring lengths with fingers or scanning for texture differences to interpret tactile charts. These observations suggest an opportunity to move beyond direct visual translation and toward a tactile-first design approach. We outline a speculative tactile design framework that explores how data analysis tasks may align with tactile strategies and encoding choices. While this framework is not yet validated, it offers a lens for generating tactile-first chart designs and sets the stage for future empirical exploration. We present speculative mockups to illustrate how the Tactile Perceptual Grammar might guide the design of an accessible COVID-19 dashboard. This scenario illustrates how the grammar can guide encoding choices that better support comparison, trend detection, and proportion estimation in tactile formats. We conclude with design implications and a discussion of future validation through co-design and task-based evaluation.
