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Measurements of user feelings regarding existing vacuum cleaners with Kansei Engineering: an evaluation of Kansei Engineering and other methods
2002 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Kansei Engineering is a consumer-oriented product development method. It identifies consumers’ feelings concerning a product and therewith correlated design elements. The correlation between consumers’ feelings and design elements can help companies to design products that presents the desired attributes. The first aim of this thesis is to evaluate if Kansei Engineering will improve the development of products at Electrolux Home Products Operations (Sweden) AB. The evaluation is based on a Kansei Engineering experiment performed at the company. The Kansei Engineering study was performed with eight different vacuum cleaners. Seventeen adjectives, Kansei words, appropriate to vacuum cleaners were collected. Based on these adjectives Semantic Differentials scales were constructed. The participants used the Semantic Differentials scales to document their feelings regarding the vacuum cleaners. By analysing, the collected data statistical the relationship between the participants feelings regarding the vacuum cleaners and the vacuum cleaners design elements could be quantified. The evaluation showed that Kansei Engineering can improve the development of products at Electrolux Home Products Operations (Sweden) AB when implemented as a part of an iterative design process. Kansei Engineering can assist all product development teams facing difficult qualitative value judgements. The knowledge of how design elements influence the consumer can help the designers to be sure of aim in the beginning of the development process. Kansei Engineering can also improve the communication between team members, project steering groups and project sponsors. The second aim is to compare Kansei Engineering with three other methods, Quality Function Deployment, Conjoint Analysis and Semantic Environment Description. The comparison was based on a literature study of the methods. The outcome shows that Kansei Engineering is the best method for including consumer feelings into the development process.

Place, publisher, year, edition, pages
Keyword [en]
Technology, Kansei Engineering, Quality Function Deployment, Conjoint, Analysis, Semantic Environment Description, user feelings, product development, Semantic Differentials, Quantification, Theory Type 1
Keyword [sv]
URN: urn:nbn:se:ltu:diva-58046ISRN: LTU-EX--02/021--SELocal ID: ea20b9fa-8218-459b-a3d4-b22b92f92e2aOAI: diva2:1031434
Subject / course
Student thesis, at least 30 credits
Educational program
Industrial Engineering and Ergonomics, master's level
Validerat; 20101217 (root)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

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