Kansei engineering with online review mining methodology for robust service design-Reference-Cited by-同舟云学术

Kansei engineering with online review mining methodology for robust service design

Published:2023-09-28 Issue: Volume: Page:1-26
ISSN:1463-922X
Container-title:Theoretical Issues in Ergonomics Science
language:en
Short-container-title:Theoretical Issues in Ergonomics Science

Author:

Hartono Markus¹,Prayogo Dina Natalia¹,Ronyastra I. Made¹,Baredwan Abdullah¹

Affiliation:

1. Department of Industrial Engineering, University of Surabaya, Surabaya, Indonesia

Funder

Department of Industrial Engineering University of Surabaya

Ministry of Education, Culture, Research, and Technology Republic of Indonesia

Excellent Basic Research of Higher Education

Publisher

Informa UK Limited

Subject

Human Factors and Ergonomics

Link

https://www.tandfonline.com/doi/pdf/10.1080/1463922X.2023.2261995

Reference58 articles.

1. Ontology-based approach to extract product's design features from online customers’ reviews

2. Altshuller, G. 2000. The Innovation Algorithm: TRIZ, Systematic Innovation and Technical Creativity. Worcester, MA: Technical Innovation Center, Inc.

3. Kansei-mining: identifying visual impressions as patterns in images

4. Indexing natural images for retrieval based on Kansei factors

5. Development of an extended Kansei engineering method to incorporate experience requirements in product–service system design

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