TY - GEN
T1 - Affective design with Kansei mining
T2 - 5th International Conference on Design, User Experience, and Usability, DUXU 2016 Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016
AU - Suzianti, Amalia
AU - Apriliandary, Septy
AU - Poetri, Nabila Priscandy
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Automotive industry delivers a great contribution to Indonesia by accounting high percentage in gross domestic product. As automotive industry is developing, especially for car industry, the competition between car companies is highly increasing. This condition resulted in a situation where products from different car companies having the same standard for quality. Therefore, customers are triggered to consider another factor beside functional specification and quality, which is affective perception. This research focused on how customers of city car in Indonesia evaluate the product from its exterior shape by considering their affective side. Method of this research is Kansei Engineering, specifically its Kansei Words. Data from customers are processed with the method of association rule mining and conjoint analysis. From the output of this research, there are five groups of Kansei Words that represent customers’ affective perception (i.e., classic and sleek, robust and powerful, sporty and formal, cute, and modern). The final output from this research are five recommended designs for city car exterior shape that describe all the Kansei Words above.
AB - Automotive industry delivers a great contribution to Indonesia by accounting high percentage in gross domestic product. As automotive industry is developing, especially for car industry, the competition between car companies is highly increasing. This condition resulted in a situation where products from different car companies having the same standard for quality. Therefore, customers are triggered to consider another factor beside functional specification and quality, which is affective perception. This research focused on how customers of city car in Indonesia evaluate the product from its exterior shape by considering their affective side. Method of this research is Kansei Engineering, specifically its Kansei Words. Data from customers are processed with the method of association rule mining and conjoint analysis. From the output of this research, there are five groups of Kansei Words that represent customers’ affective perception (i.e., classic and sleek, robust and powerful, sporty and formal, cute, and modern). The final output from this research are five recommended designs for city car exterior shape that describe all the Kansei Words above.
KW - Association rule mining
KW - Car exterior shape
KW - City car
KW - Conjoint analysis
KW - Kansei engineering
KW - Kansei words
UR - http://www.scopus.com/inward/record.url?scp=84977472553&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-40355-7_8
DO - 10.1007/978-3-319-40355-7_8
M3 - Conference contribution
AN - SCOPUS:84977472553
SN - 9783319403540
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 76
EP - 85
BT - Design, User Experience, and Usability
A2 - Marcus, Aaron
PB - Springer Verlag
Y2 - 17 July 2016 through 22 July 2016
ER -