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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, Published paper (Refereed)
Abstract [en]

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
2006.
Keyword [en]
Affective Engineering, Emotional Design, Tool, KESo, Genetic Algorithm, Decision Support, Design Support
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-43409OAI: oai:DiVA.org:kth-43409DiVA: diva2:448243
Note
QC 20111014Available from: 2011-10-14 Created: 2011-10-14 Last updated: 2011-10-17Bibliographically approved
In thesis
1. Engineering Quality Feelings: Applications in products, service environments and work systems
Open this publication in new window or tab >>Engineering Quality Feelings: Applications in products, service environments and work systems
2011 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Contemporary quality issues in product design are moving from materialistic to emotional user fulfillment; comprehensive research is needed to examine quality product feelings. This research is directed toward a deeper understanding of user and customer quality feelings for different product types, including services.

The quality feelings concept includes dimensions of product quality, especially functionality, ergonomics and aesthetics. The first objective of this thesis is to identify, prioritize and synthesize quality feelings into product attributes in product development applications. The second objective is to explore, test and propose methodological approaches for designing quality feelings into products.

Several methods from psychology, ergonomics, statistics and probabilistic methods and heuristics were applied to achieve the objectives. From a methodological viewpoint, Likert scales, free elicitation technique and Just About Right scales were applied for data collection. Multiple Regression, Factor Analysis, Correspondence Analysis, Genetic algorithms, Partial Least Squares (PLS) and Rough Sets (RS) were applied for data analyses. For ergonomic product evaluations, direct observations, 3D workload simulations, time and frequency analyses were conducted.

Five product applications are included in this thesis: operator driver cabin design of reach trucks, steering wheel design trigger switch design in right-angled nutrunners, bed-making systemsproducts and waiting room environments.

Heuristic methods were found effective when there is a high number of product attributes that interact to provide quality feelings. RS results are consistent with PLS attribute predictions. When the number of product attributes is large in comparison to the number of observations, PLS extracts informative results for quality feelings. The RS method is effective in identifying interactions among design attributes.

Quality feelings are associated with both tangible (tactile characteristics) and intangible (quick and easy to use) product characteristics. Words such as safety, functionality, ergonomics, comfort, reliability, supportiveness, usability, feedback, pleasantness, attractiveness, durability and distinctiveness describe quality feelings from tangible products and services. Based on product type, the quality dimensions represented by these words possess different interactions and dependencies. In work environments, products act as prostheses between workers for social interaction, which need to be considered as important quality feelings dimensions.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2011. xiv, 155 p.
Series
Trita-STH : report, ISSN 1653-3836 ; 11:5
Keyword
ew product development, ergonomics evaluation design for quality, Affective Engineering, servicescape design, product experience
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:kth:diva-43388 (URN)
Public defence
2011-10-31, 3-221, Alfred Nobel`s Alle 10, Huddinge, 13:19 (English)
Opponent
Supervisors
Note
QC 20111017Available from: 2011-10-17 Created: 2011-10-14 Last updated: 2011-10-28Bibliographically approved

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Eklund, Jörgen

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