Developing Software Tools for Kansei Engineering Processes: Kansei Engineering Software (KESo) and a Design Support System Based on Genetic Algorithm
2006 (English)In: 9th International Quality Management for Organizational Development (QMOD) Conference, August 9-11, Liverpool, England, 2006Conference paper (Refereed)
Launching products successfully onto today’s markets requires not only good quality and usability for a reasonable price but also that the customer gets a good subjective impression of the product. This is especially true for mature products, which tend to be rather similar to competing products. Designing a good feeling into products is a challenge many companies face today. A new research field is named emotional design or affective engineering. One method within this field is Kansei Engineering, a methodology that can quantify user impressions mathematically. A general procedure for conducting Kansei Engineering studies has been proposed, but still much expert knowledge is necessary for those studies. Therefore, software tools facilitating this process have been developed. In this paper, two tools used at Linköping University are presented. It can be seen that those tools deliver good results and remove many obstacles for applying Kansei Engineering in companies. However, more research is needed on the theoretical bases and extraction methods.
Place, publisher, year, edition, pages
Affective Engineering, Emotional Design, Tool, KESo, Genetic Algorithm, Decision Support, Design Support
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-15921OAI: oai:DiVA.org:liu-15921DiVA: diva2:128365