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http://dx.doi.org/10.5143/JESK.2013.32.5.449

The Effect of Hangul Font on Reading Speed in the Computer Environment  

Kim, Sunkyoung (Department of Psychology, Ewha Womans University)
Lee, Ko Eun (Department of Psychology, Ewha Womans University)
Lee, Hye-Won (Department of Psychology, Ewha Womans University)
Publication Information
Journal of the Ergonomics Society of Korea / v.32, no.5, 2013 , pp. 449-457 More about this Journal
Abstract
Objective: The aim of this study is to investigate the effect of Hangul font on reading speed when texts are displayed on the computer screen. Background: Reading performance is influenced by fonts. However, there are few studies of Hangul font from a cognitive perspective. Fonts could affect reading performance directly and indirectly, interacting with other visual-perceptual factors such as size, word spacing, and line spacing. Method: In experiment 1, two variables were manipulated; a frame condition(square frame non-square frame) and a stroke condition(serif sans-serif). According to each condition, one of the four fonts was applied to the texts. The height of the four fonts was controlled. The participants were asked to read aloud the presented texts. In experiment 2, the non-square frame fonts were adjusted to have approximately the same size, width, letter spacing, and word spacing as the square frame fonts. The experimental design and task used in experiment 2 were identical with experiment 1. Results: In general, reading speed was faster in the square frame fonts than in the non-square frame fonts. The reading speed was not significantly different across stroke conditions. Conclusion: The frame of Hangul font significantly influenced reading speed. These results suggest that the type of Hangul font is a factor to affect reading performance. Application: The frame of fonts should be considered in designing of new fonts. The square frame fonts should be the preferred choice to enhance legibility.
Keywords
Hangul; Font; Reading; Legibility; Readability;
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Times Cited By KSCI : 2  (Citation Analysis)
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