Kansei Engineering Software

Method suitability

Study type

XField studies
XLab studies
Online studies
Questionnaire

Development phase

XConcepts
Early prototypes
Functional prototypes
XProducts on market

Studied period of experience

XBefore usage
Snapshots
An episode
XLong-term UX

Evaluator / Info provider

UX experts
XOne user at a time
XGroups of users
Pairs of users

Data

Qualitative
XQuantitative

Applications

XWeb services
PC software
Mobile software
XHardware designs
Other:

Requirements

XTrained researcher
XSpecial equipment

Summary

The software follows the Kansei Engineering procedure suggested by Schütte (2006). {Additional info: Kansei Engineering is a method for translating feelings and impressions into product parameters. The method was invented in the 1970ies by Prof. Nagamachi at Kure University (now Hiroshima International University). Prof. Nagamachi recognized that companies often want to quantify the customer's impression of their products. Kansei Engineering can "measure" the feelings and shows the correlation to certain product properties. In consequence products can be designed in a way, which responds the intended feeling. Source: http://www.kansei.eu/)

It uses techniques such as Semantic differential technique (Osgood, 1957) and the Quantification Theory Type I (Komazawa and Hajashi, 1976)

Description

In its present version KESo generates webpages using predefined Kansei Engineering words and product properties as basic data. On the webpage Semantic Differential Scales are created where users can rate the affective impact of the product in question.

This user data is collected and stored in a data bank.

After enough data for a sufficient statistical strength is collected, a Quantification Theory Type I- analysis can be performed. QT1 creates a linear regression model connecting the Kansei words to certain product properties. In this way a prediction model is created which can be used in order to optimize the product lay out in a way that a certain feeling is evoked by its appearance or behavior.

Strengths

Kansei Engineering evaluation usually takes much time and requires expert knowledge in the areas of psychology, statistics and engineering. The KESo software is a tool for automatic data collection and evaluation of the data according to Kansei Engineering rules, thereby making it more efficient and easier to apply Kansei Engineering evaluation method

Weaknesses

Kansei Engineering methodology provides a number of different linkage tools. The KESo software in its present version can only perform linear regression analysis using QT1.

References describing the method

Schütte, R., 2006 Developing an Expert Program Software for Kansei Engineering, Linkoping University,Sweden.

References about quality of the method

http://www.ikp.liu.se/kansei

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