Preliminary Study on Haptics of Textile Surfaces via Digital Visual Cues

Humans perceive through various sensory impressions, including the five senses. Not only the number of different stimuli in everyday life increase, but also the degree of assessment of urgent and irrelevant information. But online it is not possible for the customer to physically perceive and assess the haptics of a product. This paper focus on the questions if it is possible for humans to perceive and identify surface properties without using their sense of touch and if humans can judge and classify the haptics of a textile materials via digital channels through a purely visual perception

Preliminary study on perceived comfort of car seats: A quantitative approach to visual cues

The automotive industry is transitioning towards a more digital future - not just the digitalization of the product itself but also the process of customer interaction, such as during the product selection process. In the product selection process, companies are enabled to collect and analyze large amounts of customer and usage data but are also challenged to understand the gathered digital data. In designing physical components, analyzing, and understanding such data can provide a competitive advantage. In gaining deeper insight into the digital selection process of cars and for understanding customers preferences related to perceived comfort of car seats, we applied a visual appearance study by presenting digital information of physical components

Possibilities and limits of virtual and augmented reality in the purchase decision process for clothing

This paper examines the influence of virtual and augmented reality on the purchasing decision-making process for clothing. The aim of the study is to gain well-founded insights into the possibilities and limitations of using virtual and augmented reality (VR and AR) techniques in that process. It can be shown that VR and AR applications as interactive systems can offer valuable support in the purchasing decision-making process. New chances and possibilities arise for future shopping in virtual or augmented realities, in which customers are supported in their decision-making. So far, the simulation of visual properties, the limited range of offered pieces, the lack of customer acceptance as well as high barriers to entry and expensive hardware solutions have weakened the full exploitation of potential

Perceived Quality Attributes Importance Ranking Methodology in the Automotive Industry: A Case Study on Geometry Appearance Attributes at CEVT

Implementation of methods for perceived quality evaluation is an integral part of the automotive manufacturers\u27 strategic development plans. The correct definition of perceived quality requirements is one of the significant factors influencing customer\u27s purchase intention. This study seeks to understand how customers perceive and prioritize attributes that are associated with the geometrical and materials quality of a premium car market segment. We applied the Perceived Quality Attributes Importance Ranking (PQAIR) methodology to understand the importance of different perceived quality attributes form a customer perspective. Such an understanding can contribute to the effectiveness of the design processes in the early product development phases. This approach is tested on 144 respondents representing customer\u27s target group and performed in collaboration with China Euro Vehicle Technology (CEVT) technical experts. Our results verify the rationality and feasibility of the applied method and indicate the improvement of engineering practices regarding complex product development