Affective design with Kansei mining: An empirical study from automotive industry in Indonesia

Amalia Suzianti, Septy Apriliandary, Nabila Priscandy Poetri

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationDesign, User Experience, and Usability
Subtitle of host publicationNovel User Experiences - 5th International Conference, DUXU 2016 Held as Part of HCI International 2016, Proceedings
EditorsAaron Marcus
PublisherSpringer Verlag
Pages76-85
Number of pages10
ISBN (Print)9783319403540
DOIs
Publication statusPublished - 1 Jan 2016
Event5th International Conference on Design, User Experience, and Usability, DUXU 2016 Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016 - Toronto, Canada
Duration: 17 Jul 201622 Jul 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9747
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Design, User Experience, and Usability, DUXU 2016 Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016
CountryCanada
CityToronto
Period17/07/1622/07/16

Keywords

  • Association rule mining
  • Car exterior shape
  • City car
  • Conjoint analysis
  • Kansei engineering
  • Kansei words

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