In a KE study to determine the emotional design features of a traditional product from Turkey, expert designers’ opinions were collected for the span the semantic space and span the space of properties steps of the KE methodology and an additional discussion came up. It was noted that the expert designers raised several questions about KE. They seemed to approach the potential KE results with caution because it was perceived as an intervention to their creative processes.

During the interviews the following arguments came out: Design problems are irrational and wicked and do not have only one solution. What KE offers is scientific, but it may interfere with the creative process needed for designing. It can be useful for novice designers, but some experts think that they already have the intuitive knowledge of Kansei.

After discussing with other KE researchers, about the similar experiences working with expert designers, there was the need to explore the issue in more detail.

First, interviews were conducted with 4 expert designers. A scale was developed to assess their attitudes towards using KE results in design problems. Data was collected with an online questionnaire from 49 experts on the scale. The findings can be used in creating new strategies to introduce KE to design experts in a way that they can be convinced to use KE in their further design processes.

Both the disciplines of design and statistics have promoted projects and research with clear objectives in their field, but for the other discipline, they have been difficult or challenging to fully understand.

In design, there are a large number of projects that provoke a reaction in spectators or users, since they have a spectacular scope and impact, but at a statistical level, their results add little value. On the other hand, statistics in some of the models and applications that are often used, the requirements are highly complex and numerous. This makes it difficult to put theory into practice since experiences or experiments that are so complex and difficult to manage cannot be carried out. In addition, later the communication process for non-experts is difficult to understand due to a large amount of information, as well as on occasions poorly designed presentations.

After understanding the limitations that the two disciplines have, their ability to work together and make the weaknesses of each of them a more complete and holistic solution is evident. Kansei engineering is also a good example since it is a complex design tool, and the only way to advance it, incorporating the use of data, is with the collaboration between designers and statisticians. In this paper, the Data Collection Toolkit is presented as a result of applying Kansei Engineering to unite these two disciplines including for each step some methodologies, resources, and tools for designers.

In this study, we regarded the idea that supplementary variables and Multiple Correspondence Analysis are promising for analysis and visualize complicated relations in Kansei analysis. It could merge several different information tables and then project them into a map. Applying this advantage would make the overall view of Kansei. Design elements, samples, and associated Kansei words were shown in an MCA map. Leather patterns of children’s lower leg orthotics are the objective of this Kansei evaluation. The leather surface was simulated with 3D CG with physically based rendering methods.