Rapidly changing market conditions and intense competition force companies to secure their market position through constant customer-focused innovation. To achieve the highest possible overlap between customer requirements and product characteristics, customers' subjective opinions have to be taken into account. For customers it is difficult to accurately describe their exact requirements regarding the products they want. In this paper a methodology is presented, that is able to measure and implement exact requirements of human judgment and correlate them with technical parameters.

In order to stand out from the competition, the quality of a product as subjectively perceived by the customer is becoming increasingly important. If one wants to meet the comprehensive customer requirements, it is no longer sufficient today to develop a product that focuses only on the functional aspects, but it must also fulfil the sensory requirements at the same time. In this paper, a systematic approach is described that first describes the objectification of customer language for describing the textile haptics of automotive interior materials (11 headliners and 15 seat materials). For this purpose, ten textile-specific descriptors were developed in an expert panel. The descriptors used and the measurement of the human-haptic system are summarized in 4 main groups: 1. warmth/cold sensation, 2. friction properties, 3. deformation, 4. surface/topography. Furthermore, the human-tactile parameters (pressure, speed) that humans exert when touching textile surfaces were determined. The human-sensory product evaluation of the textiles was carried out with 116 test persons. Comparative statistical analyses of the technical parameters (e.g. roughness, friction coefficient, wetting index, deformation) and the human characteristics made it possible to create a prognosis model for determining the quality perception of textile car interior materials.

At the end of XIX century Bezold described a Chevreul discovered effect named inverse contrast, expansion effect or Bezold effect. Recently, Tortajada, Montalvá and Aguilar have quantified it using Ronchi patterns represented on paper. In this work an interactive desktop application, which leads to a fast and efficient observer input measurement over Bezold variable color, spin and angle stripes, is presented. The new application's interface has two identical white circles on a neutral background. The samples to be compared appear inside them, both with the same chromatic values but in one there is a Bezold effect (due to Ronchi's grating) and in the other there is not (due to a solid concentric circle), so the observer will try to match each other. As a result we get, for each pair, the variation of L carried out to compensate the effect, and this variation is used to indicate the value of the Bezold effect for that sample.