The effects of Chinese typeface design, stroke weight, and contrast polarity on glance based legibility

• This study examines aspects of the legibility of Chinese digital typography.
• Legibility was measured as the amount of time needed to read text accurately.
• Typeface style, weight, and contrast polarity were compared across two studies.
• Hei-style type, set in bold weight in positive contrast was the most legible.
• Findings have implications for optimal rendering of text on digital displays.

Modern interfaces increasingly rely on screens filled with digital text to display information to users. Previous research has shown that even relatively subtle differences in the design of the on-screen typeface can influence to-device glance time in a measurable and meaningful way (Reimer et al., 2014). Here we outline a methodology for rapidly and flexibly investigating the legibility of typefaces on digital screens in glance-like contexts, and apply this method to a comparison of 5 Simplified Chinese typefaces. We find that the legibility of the typefaces, measured as the minimum presentation time needed to read character strings accurately and respond to a yes/no lexical decision task, is sensitive to differences in the typeface’s design characteristics. The most legible typeface under study (“MT YingHei”) could be read 33.1% faster than the least legible typeface in this glance-induced context. A second study examined two different weights of the MT YingHei type family (medium and bold), as well as two contrast polarity (color) conditions to investigate how these variations impact legibility thresholds. Results indicate that bold weight text is easier to read in this enforced glance-like context, and that positive polarity text (black on white) is easier to read compared to white on black text under the lighting conditions considered. These results are discussed in terms of contextual factors that may mediate glance-reading behavior, as well as how type design interacts with the practical limitations of a moderate density pixel grid.