Article Details

Abstract

The consumers' experience and feelings are an important basis for product design. Because the consumption experience is difficult to quantitative characterization, the product design objectives and evaluation criteria are unclear. By taking the cigarette packaging consumption experience as the research object, the consumer review data are collected, and the text affective computing method based on Naive Bayes is studied. The consumption experience affective score is used to quantitatively characterize the consumer's experience of the product. Furthermore, the key words of consumption experience are excavated from two aspects of “positive” and “negative”, to help R&D personnel accurately grasp consumers' experience evaluations and suggestions on products, providing concrete design objectives and evaluation basis for product development and product upgrading.

Keywords

affective computing; consumption experience; digital characterization

References

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About the authors

Chen Fangrui (1977-), female, Han ethnicity, from Qujing, Yunnan, senior engineer, bachelor's degree, research direction: digital design; Corresponding author: Hu Yuehang (1984-), male, Han ethnicity, from Kunming, Yunnan, senior engineer, master's student, research direction: digital design; Yin Zhijiang (1979-), male, Han ethnicity, from Qujing, Yunnan, senior engineer, undergraduate, research direction: digital design; Tianyuan (1986-), male, Han ethnicity, from Kunming, Yunnan, is a senior craft artist and master's student with a research focus on digital design; Zhao Yiming (1982-), female, Han ethnicity, born in Xi'an, Shaanxi, is an engineer and a master's student with a research focus on intelligent information processing.