Improving Low-Vision Chart Accessibility via On-Cursor Visual Context

要旨

Despite widespread use, charts remain largely inaccessible for Low-Vision Individuals (LVI). Reading charts requires viewing data points within a global context, which is difficult for LVI who may rely on magnification or experience a partial field of vision. We aim to improve exploration by providing visual access to critical context. To inform this, we conducted a formative study with five LVI. We identified four fundamental contextual elements common across chart types: axes, legend, grid lines, and the overview. We propose two pointer-based interaction methods to provide this context: Dynamic Context, a novel focus+context interaction, and Mini-map, which adapts overview+detail principles for LVI. In a study with N=22 LVI, we compared both methods and evaluated their integration to current tools. Our results show that Dynamic Context had significant positive impact on access, usability, and effort reduction; however, worsened visual load. Mini-map strengthened spatial understanding, but was less preferred for this task. We offer design insights to guide the development of future systems that support LVI with visual context while balancing visual load.

著者
Yotam Sechayk
The University of Tokyo, Tokyo, Japan
Hennes Rave
University of Münster, Münster, Germany
Max Rädler
Ulm University, Ulm, Germany
Mark Colley
UCL Interaction Centre, London, United Kingdom
Zhongyi Zhou
Google, Tokyo, Japan
Ariel Shamir
Reichman University, Herzliya, Israel
Takeo Igarashi
The University of Tokyo, Tokyo, Japan

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Driving Innovation

P1 - Room 127
7 件の発表
2026-04-16 20:15:00
2026-04-16 21:45:00