Trends integration process as input data for Kansei Engineering Systems

This paper aims at studying new ways of users integration in “emotional Design” or “Kansei engineering systems”. The main goal of this study was the integration of the trend factor in design, with an early emotional evaluation of “Trend cards” produced by the designers. After a definition of the study context, we explain the experimental protocol which was followed. It was based on a questionnaire method involving 56 French subjects and applied in the field of shoes design. The data analysis was mainly proceed by the way of a Principal Component Analysis. The expected results were centred on the emotional evaluation of the Trendcards in order to establish further design rules for a Kansei Engineering system. In conclusion, we can recognize important semantic effects and influences which can be used as information for the implementation of the design elements data base

Towards a kansei-based user modeling methodology for eco-design

We propose here to highlight the benefits of building a framework linking Kansei Design (KD), User Centered Design (UCD) and Eco-design, as the correlation between these fields is barely explored in research at the current time. Therefore, we believe Kansei Design could serve the goal of achieving more sustainable products by setting up an accurate understanding of the user in terms of ecological awareness, and consequently enhancing performance in the Eco-design process. In the same way, we will consider the means-end chain approach inspired from marketing research, as it is useful for identifying ecological values, mapping associated functions and defining suitable design solutions. Information gathered will serve as entry data for conducting scenario-based design, and supporting the development of an Eco-friendly User Centered Design methodology (EcoUCD).ANR-ECOUS

About the nature of Kansei information

Kansei studies refer to the more and more holistic consideration of the cognitive and affective processes which occur during user experience. In addition, few studies deal with the experience of the designers during the design process, and its influence on the final design outputs. Historically kansei engineering has been firstly focused on the semantic differential approach. Afterwards emotions were integrated into kansei approaches. The semantic differential approach enabled to evaluate products and then to generate automatically design solutions with semantic input data. Thereafter, evaluations have been completed by physiological measurements in order to reduce the subjectivity involved in those evaluations and also to capture some unconscious reactions. This implementation is still in process. Today kansei studies have been much enriched from the three disciplines of design science, psychology and artificial intelligence. The cross influence between these disciplines brought new dimensions into kansei approaches (multisensory design information, personality, values, and culture, new formalisms and algorithms) which lead progressively towards the consideration of a whole enriched kansei experience. We propose in this paper a description of the nature of kansei information. Then we present some major orientations for kansei evaluation. Finally we propose an overall table gathering information about kansei dimensions and formats.AN

A Proposed Framework of Kansei Engineering Application in Dealing with Customer Emotional Needs in Services

Many studies on product designs have been widely conducted with a focus on functionality rather than human emotions. However, customers today are very dynamic and no longer focus only on functionality needs. Emotions increasingly, play an important role in purchasing decision. In dealing with customer emotional needs, Kansei Engineering is proposed. This approach captures customers’ desires and feelings (emotions/kansei) concerning products and translates these emotional needs into concrete product design. Kansei Engineering has been applied extensively in product design, but not in services. A service is an intangible product. It is the fastest growing sector in today’s businesses. Some prominent tools such as Quality Function Deployment (QFD) and Kano’s Model are often used in services, but not incorporating customer emotional needs. In addition, some attentions have been widely used in investigating customer emotional satisfaction in services. However, there is not a formal methodology that can account for customer emotional needs. Therefore, to fill in these niches, this paper provides a proposed framework of Kansei Engineering in services. The proposed framework incorporates QFD and Kano’s Model as methods which focus on customer satisfaction. By applying Kano’s Model, customer needs are exploited through a questionnaire, and, service attributes are classified. QFD is then used to transform customer emotional needs into engineering characteristics. In addition, other models such as Bayesian Network (BN) and Markov Chain are utilized as well. The latter two models are useful to promote prediction and diagnostic inference with a probability view point due to the dynamics of customer emotional needs. The use of such supporting models will enhance the ability of the Kansei Engineering methodology to meet a sudden change or trend of customers’ emotional needs. Essentially, the proposed framework will start and end with customers to achieve customer emotional satisfaction. In order to demonstrate the applicability of the Kansei Engineering approach in service design, this paper provides an illustration. A simple literature survey was conducted at a university field. A majority of the students spend most of their time on campus. Why do students spend so much time at the university when they can better spend their time elsewhere, such as at home? How can a university be made a convenient second home for students? In this research, these two questions will be answered and tackled by introducing a modified Kansei Engineering method. The university does not only provide an academic service, but also an emotional experience for students. It is hoped that by introducing an improved innovative framework of Kansei Engineering, it could increase the level of customer satisfaction in pursuit of customer loyalty and a long-term relationship eventually

KEER2022

Avanttítol: KEER2022. DiversitiesDescripció del recurs: 25 juliol 202

Customer perception of switch-feel in luxury sports utility vehicles

Successful new product introduction requires that product characteristics relate to the customer on functional, emotional, aesthetic and cultural levels. As a part of research into automotive human machine interfaces (HMI), this paper describes holistic customer research carried out to investigate how the haptics of switches in luxury sports utility vehicles (SUVs) are perceived by customers. The application of these techniques, including an initial proposal for objective specifications, is addressed within the broader new product introduction context, and benefits described. One-hundred and one customers of SUVs assessed the feel of automotive push switches, completing the tasks both in, and out of vehicles to investigate the effect of context. Using the semantic differential technique, hedonic testing, and content analysis of customers’ verbatim comments, a holistic picture has been built up of what influences the haptic experience. It was found that customers were able to partially discriminate differences in switch-feel, alongside considerations of visual appearance, image, and usability. Three factors named ‘Affective’, ‘Robustness and Precision’, and ‘Silkiness’ explained 61% of the variance in a principle components analysis. Correlations of the factors with acceptance scores were 0.505, 0.371, and 0.168, respectively

Emotional Design: An Overview

Emotional design has been well recognized in the domain of human factors and ergonomics. In this chapter, we reviewed related models and methods of emotional design. We are motivated to encourage emotional designers to take multiple perspectives when examining these models and methods. Then we proposed a systematic process for emotional design, including affective-cognitive needs elicitation, affective-cognitive needs analysis, and affective-cognitive needs fulfillment to support emotional design. Within each step, we provided an updated review of the representative methods to support and offer further guidance on emotional design. We hope researchers and industrial practitioners can take a systematic approach to consider each step in the framework with care. Finally, the speculations on the challenges and future directions can potentially help researchers across different fields to further advance emotional design.http://deepblue.lib.umich.edu/bitstream/2027.42/163319/1/Emotional_Design_Manuscript_Final.pdfSEL