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Research Article

Rejecting small! Accepting larger? Optimizing the font size of Chinese characters basing legibility and visual fatigue in OST-HMDs

, , , , , , & show all
Received 21 Oct 2023, Accepted 11 Jun 2024, Published online: 27 Jun 2024
 

Abstract

Font size is highly related to the legibility and visual fatigue in OST-HMDs, but the effects of font size on these factors remain further explored. An experiment was conducted to investigate the effects of a wider range of Chinese character font size (0.32°–1°) on legibility and visual fatigue, as well as to determine the optimal font size. Results showed that 0.32° had the worst legibility, but there was no continuous improvement as font size increased. A larger font size was found to be beneficial in reducing visual fatigue until it reached 0.95°, beyond which visual fatigue would relatively increase. Font size smaller than 0.32° should be rejected while a larger font size does not always provide more benefits. Considering legibility, visual fatigue and efficiency of text presentation, 0.84° is a relatively optimal Chinese character font size.

Practitioner Summary

The emergence of Metaverse concept has driven significant advancements in OST-HMDs, while optimising the font size has become a fundamental concern in ensuring legibility and display effectiveness. Considering legibility and subjective visual fatigue, we conducted an experiment which demonstrated a moderate font size (0.84°) for Chinese characters is relatively optimal.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The row data for analysis are available on the Open Science Framework at the following link: https://osf.io/grs7h/?view_only=2ae71a4b23af4f3190ca55564399ba5a.

Additional information

Funding

This work was supported by the Foundation of National Key Laboratory of Human Factors Engineering [Grant No. 6142222210103, 6142222210301]; Natural Science Foundation of Zhejiang Province [Grant No. LQ19C090008]; Foundation strengthening plan technical field fund [Grant No. 2021-JCJQ-JJ-1308].

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