Abstract
At present, there are numerous studies on the design of Chinese character fonts, but there is few research on the emotion tendency of them. Semantic difference method and some statistical analysis methods were used to find out the common feelings of different people on the emotion conveyed by fonts. Through literature research, a large number of words were collected which describe the emotional tendencies conveyed by the fonts and two times of clustering analysis were performed using the card sorting data to complete the screening, then some participants were invited to obtain the evaluation scores of the 20 kinds of representative fonts on the remaining 16 pairs of emotion words. Subsequently, the project analysis method was used to correct the scale. Afterwards the factor analysis was used to extract the factors that could affect emotions conveyed by fonts. Finally, three factors were identified as the main influence on the font’s emotional tendency: the degree of exquisiteness, the cabined feeling and the sense of order.
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Zhang, S., Wang, P., Hou, W. (2019). Research on Font Emotion Based on Semantic Difference Method. In: Tang, Y., Zu, Q., RodrÃguez GarcÃa, J. (eds) Human Centered Computing. HCC 2018. Lecture Notes in Computer Science(), vol 11354. Springer, Cham. https://doi.org/10.1007/978-3-030-15127-0_30
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DOI: https://doi.org/10.1007/978-3-030-15127-0_30
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