Applying the time and space forms of poetry to creative design

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Abstract

In recent years, countries worldwide have actively employed culture-inspired creativity to add value to designs. Poetry is a means by which poets express profound and subtle emotions and thoughts using refined words. Classical and renowned poems that have survived for thousands of years are undoubtedly excellently refined masterpieces. We established a series of operable steps for converting abstract creative poetry concepts into concrete poetry designs to enhance the enriched literary connotations of designs and improve the values of the affective and aesthetic experience of poetry. Based on the spiritual characteristics of classical Chinese poetry and theories related to time and space, this study references literature regarding the feasibility of applying cultural creativity to designs and summarizes 4 forms of poetry, namely, time/space reflection, time/space separation, time/space sympathy, and time/space integration. When designing actual cases, we considered the method by which a logical inference procedure can be developed and the concrete steps for reasonably converting poetry into design. Subsequently, this study describes the extraction and control of critical meanings from the context and themes of traditional poetry to analyze structural forms and content of time and space. The converted poetry design cases were then integrated to construct a creative design application model for the time and space forms of poetry. Integrating traditional poetry culture with modern designs provides the current cultural and creative industry with a feasible design model. Furthermore, creative design revitalizes traditional poetry, which enables the value of poetry to be fully developed and realized in cultural and creative applications. © 2014 Springer International Publishing.

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APA

Yeh, M. L., Wang, M. S., & Lin, P. C. (2014). Applying the time and space forms of poetry to creative design. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8528 LNCS, pp. 798–807). Springer Verlag. https://doi.org/10.1007/978-3-319-07308-8_76

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