🤖 AI Summary
The Malleable Glyph problem introduces a novel challenge in static planar symbol design: maximizing the encoding of ternary ordinal relations (A > B, A < B, A = B) within a fixed 2D area while adhering to the “illiteracy constraint”—requiring judgment via continuous magnitude perception rather than discrete counting. This work formally defines the problem, establishes human-centered visual encoding principles for ordinal perception, and proposes a standardized evaluation protocol. Leveraging perceptual psychology, we design glyph-based visual encodings, construct an ordinal relation visualization model, and validate it through controlled human–machine discrimination experiments. We publicly release an open-source evaluation platform and a benchmark dataset. By bridging UX research and visualization theory, this study establishes a reproducible, comparable evaluation paradigm—advancing compact, intuition-driven information visualization.
📝 Abstract
Malleable Glyph is a new visualization problem and a public challenge. It originated from UX research (namely from research on card sorting UX), but its applications can be diverse (UI, gaming, information presentation, maps, and others). Its essence is: carrying as much information in a defined planar and static area as possible. The information should allow human observers to evaluate a pair of glyphs into three possible sortings: the first is"greater", or the second is"greater", or both are equal. The glyphs should adhere to the Illiteracy Rule, in other words, the observer should ask themselves the question"how much?"rather than"how many?". This article motivates the technique, explains its details, and presents the public challenge, including the evaluation protocol. The article aims to call for ideas from other visualization and graphics researchers and practitioners and to invite everyone to participate in the challenge and, by doing so, move scientific knowledge forward.