A Proposal of Kansei Database Framework and Kansei Modelling Methodology for the Delight Design Platform

The delight design platform (DDP) is a vision of a new integrated design environment that would enable design engineers to consistently design delightful products. Such delightful products satisfy an attractive quality as well as the performance and must-have qualities of the Kano model. The attractive quality depends on a customer’s subjective evaluation involving emotion. To implement DDP, we aim to develop a model-based design (MBD) environment that can simulate a customer’s affective responses toward digital design models. With this environment, a designer can test their ideas in the early-design phase. In this article, we propose a Kansei database framework as an essential component of the DDP. The Kansei database stores functions that estimate the customer’s emotional responses to the design model. Firstly, we propose a Kansei database structure including two indexes, perception and delight, with a delight map as a visualization scheme. Secondly, we propose a cyclic Kansei model of product experience. Based on the model, we propose a methodology to model the user’s cognitive structure while interacting with a product, and create the indexes. Furthermore, we discuss the effect of scene-transition expectations on the user’s response to a delightful experience.

[1]  Mitsuo Nagamachi,et al.  Concepts, methods and tools in Kansei engineering , 2004 .

[2]  Peter A. Fritzson,et al.  Introduction to Modeling and Simulation of Technical and Physical Systems with Modelica , 2011 .

[3]  Tamotsu Murakami,et al.  Quantification Method of Diverse , 2007 .

[4]  Tamotsu Murakami,et al.  PROPOSAL OF "EXPECTOLOGY" AS DESIGN METHODOLOGY , 2011 .

[5]  Mitsuo Nagamachi,et al.  Kansei engineering as a powerful consumer-oriented technology for product development. , 2002, Applied ergonomics.

[6]  G. Kelly,et al.  The Psychology of Personal Constructs: Volume Two: Clinical Diagnosis and Psychotherapy , 1991 .

[7]  Hideyoshi Yanagisawa,et al.  Effects of Visual Expectation on Perceived Tactile Perception: An Evaluation Method of Surface Texture with Expectation Effect , 2015 .

[8]  Carole Bouchard,et al.  About the nature of Kansei information , 2014 .

[9]  William M. Hartmann,et al.  Psychoacoustics: Facts and Models , 2001 .

[10]  K. Scherer,et al.  Appraisal processes in emotion: Theory, methods, research. , 2001 .

[11]  J. Landry,et al.  Emotional Design: Why We Love (or Hate) Everyday Things (Book) , 2004 .

[12]  C. Osgood.  The nature and measurement of meaning. , 1952, Psychological bulletin.

[13]  Norihiko Mori.  ROUGH SET APPROACH TO PRODUCT DESIGN SOLUTION FOR THE PURPOSED"KANSEI" , 2002 .

[14]  D. Norman.  Emotional design : why we love (or hate) everyday things , 2004 .

[15]  P. Clarkson,et al.  Seeing things: consumer response to the visual domain in product design , 2004 .

[16]  福田 収一.  Emotional engineering : service development , 2011 .

[17]  Carole Bouchard,et al.  Kansei Information Processing in Design , 2009 .

[18]  N. Kano,et al.  Attractive Quality and Must-Be Quality , 1984 .

[19]  Gen Maruyama,et al.  Revealing of Preference Structure by the Evaluation Grid Method , 1997, HCI.

[20]  G. Kelly,et al.  A Brief Introduction to Personal Construct Theory , 2005 .

[21]  R. Oliver.  Effect of expectation and disconfirmation on postexposure product evaluations: An alternative interpretation. , 1977 .

[22]  Hideyoshi Yanagisawa,et al.  Interactive Reduct Evolutional Computation for Aesthetic Design , 2005, J. Comput. Inf. Sci. Eng..

[23]  Yukihiro Matsubara,et al.  An automatic builder for a Kansei Engineering expert system using self-organizing neural networks , 1995 .

[24]  Hugo Fastl,et al.  Psychoacoustics: Facts and Models , 1990 .

[25]  K. Krippendorff.  The Semantic Turn: A New Foundation For Design , 2005 .

[26]  Hideyoshi Yanagisawa.  Kansei Quality in Product Design , 2011 .

[27]  P. Desmet,et al.  Framework of product experience , 2007 .