TY - GEN
T1 - Designing a product satisfaction model using customer segmentation and information consolidation
AU - Shieh, Meng-Dar
PY - 2013/8/1
Y1 - 2013/8/1
N2 - This study proposes a prediction model, based on Kansei Engineering, which applies the concept of consumer segmentation and information consolidation. When constructing a mutual satisfaction model for each cluster, the extracted parameters showing different levels of consumer influence were then treated as retrieval data by applying Ordinal Regression (OR). This study also tried to construct a satisfaction model for a cluster of consumers instead of just focusing on an individual satisfaction model, which is less valuable in real-life situations. The combined application of Fuzzy C-means and Ordinal Regression are considered worth using as the data needed. The combined application is less complicated compared to other forms of numerical regression analysis. It is a great benefit to designers as it lessens the time required to explore consumer satisfaction data at the early stages of the design process.
AB - This study proposes a prediction model, based on Kansei Engineering, which applies the concept of consumer segmentation and information consolidation. When constructing a mutual satisfaction model for each cluster, the extracted parameters showing different levels of consumer influence were then treated as retrieval data by applying Ordinal Regression (OR). This study also tried to construct a satisfaction model for a cluster of consumers instead of just focusing on an individual satisfaction model, which is less valuable in real-life situations. The combined application of Fuzzy C-means and Ordinal Regression are considered worth using as the data needed. The combined application is less complicated compared to other forms of numerical regression analysis. It is a great benefit to designers as it lessens the time required to explore consumer satisfaction data at the early stages of the design process.
UR - http://www.scopus.com/inward/record.url?scp=84880744229&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84880744229&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-39238-2_62
DO - 10.1007/978-3-642-39238-2_62
M3 - Conference contribution
AN - SCOPUS:84880744229
SN - 9783642392375
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 568
EP - 577
BT - Design, User Experience, and Usability
T2 - 2nd International Conference on Design, User Experience, and Usability: User Experience in Novel Technological Environments, DUXU 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI International 2013
Y2 - 21 July 2013 through 26 July 2013
ER -