사용자 리뷰 분석 방법론 : 빅데이터로부터의 디자인 요소 추출User Review Analysis Extracting Design Factors from Big Data

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A user centered design process comprises of several techniques to understand user needs, user experience and to test design concepts with real users. Many of these techniques require qualitative studies with small groups of users based on set guidelines and are time and resource intensive. In this paper we propose a new technique: “User Review Analysis”that makes use of big data to uncover user needs. The technique consists of collecting and analyzing online user reviews on shopping sites such as Amazon. The basic idea is that because of the fast and cyclic nature of consumer products development, the reviews of Today’s products inform the next product generation. The data is based on real experience with similar products; the aggregated insights provide us with design factors of the product that users deem important and attractive. We report of a first study and compare the results with known techniques. The results indicate that the analysis of user reviews is a currently untapped and readily available resource to inform a design process.
Publisher
한국디자인학회
Issue Date
2014-05-24
Language
Korean
Citation

한국디자인학회 2014 봄 국제학술대회, pp.222 - 223

URI
http://hdl.handle.net/10203/199880
Appears in Collection
ID-Conference Papers(학술회의논문)

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