TY - GEN
T1 - Research on Mass User Requirements Analysis and Evaluation Method Based on Crowdsourcing Platform
AU - Niu, Li Zhuo
AU - Gong, Lin
AU - Ye, Fan
AU - Gao, Jun
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/4/23
Y1 - 2021/4/23
N2 - Using the massive data of user requirements on the crowdsourcing platform to unearth potential user requirements, and solve problems about the lack of product conceptual design inspirations and low efficiency, a method for analyzing and evaluating massive user requirements based on the crowdsourcing platform is proposed. This research uses Semantic Discrimination Lexicon (SDL), combining with the KANO model and entropy method, to perform analysis of attribute categories and evaluation of importance on user requirement items extracted from user requirements of a crowdsourcing platform. And then, it helps product designers unearth potential user requirement items from massive data of user requirements, obtain design inspirations, and support concept design of products.
AB - Using the massive data of user requirements on the crowdsourcing platform to unearth potential user requirements, and solve problems about the lack of product conceptual design inspirations and low efficiency, a method for analyzing and evaluating massive user requirements based on the crowdsourcing platform is proposed. This research uses Semantic Discrimination Lexicon (SDL), combining with the KANO model and entropy method, to perform analysis of attribute categories and evaluation of importance on user requirement items extracted from user requirements of a crowdsourcing platform. And then, it helps product designers unearth potential user requirement items from massive data of user requirements, obtain design inspirations, and support concept design of products.
KW - KANO model
KW - Semantic Discriminant Lexicon (SDL)
KW - crowdsourcing platform
KW - entropy method
KW - user requirements
UR - http://www.scopus.com/inward/record.url?scp=85107560255&partnerID=8YFLogxK
U2 - 10.1109/ICIEA52957.2021.9436768
DO - 10.1109/ICIEA52957.2021.9436768
M3 - Conference contribution
AN - SCOPUS:85107560255
T3 - 2021 IEEE 8th International Conference on Industrial Engineering and Applications, ICIEA 2021
SP - 566
EP - 570
BT - 2021 IEEE 8th International Conference on Industrial Engineering and Applications, ICIEA 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE International Conference on Industrial Engineering and Applications, ICIEA 2021
Y2 - 23 April 2021 through 26 April 2021
ER -