Abstract
With the tide of globalization getting ever higher and stronger, the need grows rapidly to travel aboard in order to obtain better health care. A reasonable and effective wayfinding system formed by graphical symbols becomes especially important for patients in a foreign hospital. The goal of this study is to evaluate the comprehensibility of 26 healthcare symbols according to the testing method specified in ISO 9186-1:2014, and analysis the possible influencing factors. 396 respondents were recruited and paid to participate in the test. All graphical symbol’s comprehensibility result and respondents’ demographic information were analyzed. The test results showed that when developing a new graphical symbol, designers should paid more attention to use different element for different graphical symbols. To explore statistically significant relationships between symbol comprehension and influencing factors, Pearson’s Chi-square tests, logistic regression analysis, and correspondence analysis were conducted. From the test result, 7 out of 26 healthcare graphical symbols have p-values smaller than the significance level 0.05, which show these symbols have significant statistical relationship with age.
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Acknowledgments
This research was supported by National Quality Infrastructure (NQI) Program (2016YFF0201700, 2016YFF0202806).
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Zou, Cy., Long, X., Chen, Y. (2019). Analysis of Comprehensibility and Influencing Factors of Healthcare Symbols. In: Ho, A. (eds) Advances in Human Factors in Communication of Design. AHFE 2018. Advances in Intelligent Systems and Computing, vol 796. Springer, Cham. https://doi.org/10.1007/978-3-319-93888-2_12
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DOI: https://doi.org/10.1007/978-3-319-93888-2_12
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