Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Cheng, Fangmina; * | Yu, Suihuaia | Qin, Shengfengb | Chu, Jianjiea | Chen, Jianc
Affiliations: [a] Shaanxi Engineering Laboratory for Industrial Design, Northwestern Polytechnical University, Xi’an, China | [b] School of Design, Northumbria University, Newcastle upon Tyne, UK | [c] College of Design and Art, Shaanxi University of Science & Technology, Xian, Shaanxi, China
Correspondence: [*] Corresponding author. Fangmin Cheng, Shaanxi Engineering Laboratory for Industrial Design, Northwestern Polytechnical University, Xi’an, China. E-mail: [email protected].
Abstract: Evaluating the quality of the user experience (UX) of existing products is important for new product development. Conventional UX evaluation methods, such as questionnaire, have the disadvantages of the great subjective influence of investigators and limited number of participants. Meanwhile, online product reviews on e-commerce platforms express user evaluations of product UX. Because the reviews objectively reflect the user opinions and contain a large amount of data, they have potential as an information source for UX evaluation. In this context, this study explores how to evaluate product UX through using online product reviews. A pilot study is conducted to define the key elements of a review. Then, a systematic method of product UX evaluation based on reviews is proposed. The method includes three parts: extraction of key elements, integration of key elements, and quantitative evaluation based on rough number. The effectiveness of the proposed method is demonstrated by a case study using reviews of a wireless vacuum cleaner. Based on the proposed method, designers can objectively evaluate the UX quality of existing products and obtain detailed suggestions for product improvement.
Keywords: User experience (UX) evaluation, Online product reviews, Opinion mining, UX aspect, Product design
DOI: 10.3233/JIFS-210564
Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 1, pp. 1791-1805, 2021
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]