<p>The long-term goal of this project has been to help strengthen the customer focus at the product development department of Pergo. To achieve this a Kansei Engineering case study was performed, to provide information about the chosen customer group, the contract market. </p><p>Kansei Engineering is a Japanese methodology for gathering and analysing information about the relation between the customer’s impression of a product and the actual physical properties of that same product. </p><p>The results show clear differences between the flooring entrepreneurs and the architects in their average ratings. The factor analysis led to four factors that are important when this group of customers evaluates laminate flooring, namely Reliable and practical, Modern design, Classic style and Nice and solid. </p><p>The regression analysis was done both on the 17 Kansei-words and on the factors. The type of decor and surface were found to have most influence on the customer’s impressions. Among the surfaces matt oiled turned out to be most popular and for most of the Kansei-words, the unexpected combination of wood- like decor and tile-format was rated the most positive.</p>

The long-term goal of this project has been to help strengthen the customer focus at the product development department of Pergo. To achieve this a Kansei Engineering case study was performed, to provide information about the chosen customer group, the contract market. Kansei Engineering is a Japanese methodology for gathering and analysing information about the relation between the customer’s impression of a product and the actual physical properties of that same product. The results show clear differences between the flooring entrepreneurs and the architects in their average ratings. The factor analysis led to four factors that are important when this group of customers evaluates laminate flooring, namely Reliable and practical, Modern design, Classic style and Nice and solid. The regression analysis was done both on the 17 Kansei-words and on the factors. The type of decor and surface were found to have most influence on the customer’s impressions. Among the surfaces matt oiled turned out to be most popular and for most of the Kansei-words, the unexpected combination of wood- like decor and tile-format was rated the most positive.

<p>There is an increasing emphasis on developing systematical research approaches for design of products that appeal to people’s emotions and values. This thesis proposes methodological developments for investigating people’s subjective emotional needs and values towards quality and explores interactions of related physical design attributes for product design.</p><p>The overall aim of the licentiate thesis is to gain an understanding on Affective engineering of products through exploring the concept of quality feeling and to develop methodological approaches for this. Quality feeling can be described as a holistic concept considering individuals’ perceptions, expectations, experiences, physical and psychological expressions for a product or service. Affective Engineering methodology aims at translating human psychological processes, such as feelings and emotions, into appropriate product design attributes, such as size, shape, and surface characteristics.</p><p>The thesis presents three methodological approaches when evaluating products for affective engineering and one approach for an interactive product design support system development.</p><p>The first study presented deals with feelings of quality for reach truck operator’s cabin components. Components that would convey to give a higher total quality feeling were identified and improvement opportunities were prioritized. The second study presented is based on developing an interactive affective design and decision support system software for design of the steering wheel from drivers’ individual and shared preferences. In the third study affective values arising from judgments for important feelings of quality is the study basis. The author presents research on identifying interactions of design attributes for affective values in waiting areas of primary health care services.</p><p>Further, a new approach for applying Affective Engineering in design of complex contexts is proposed.The proposed approach aims to handle contexts where feelings and design attributes have complex interactions for products and services that give almost an infinite number of design alternatives that are difficult to handle in traditional Kansei Engineering studies. With this thesis also an interactive product design and decision support system software is developed for steering wheel design and proposed for educational and industrial use. The proposed system works based on linking product design attributes to human feelings by applying Genetic algorithms and provides potential basis for future product development and improvements.</p><p>This thesis has also contributed with affective design recommendations applicable for vehicle cabins and waiting areas in primary health care. Moreover, a number of existing methods in Affective Engineering have been tested and methodological experience is drawn, including advantages, disadvantages and limitations of using these methods.</p>

Contemporary quality issues in product design are moving from materialistic to emotional user fulfillment; comprehensive research is needed to examine quality product feelings. This research is directed toward a deeper understanding of user and customer quality feelings for different product types, including services. The quality feelings concept includes dimensions of product quality, especially functionality, ergonomics and aesthetics. The first objective of this thesis is to identify, prioritize and synthesize quality feelings into product attributes in product development applications. The second objective is to explore, test and propose methodological approaches for designing quality feelings into products. Several methods from psychology, ergonomics, statistics and probabilistic methods and heuristics were applied to achieve the objectives. From a methodological viewpoint, Likert scales, free elicitation technique and Just About Right scales were applied for data collection. Multiple Regression, Factor Analysis, Correspondence Analysis, Genetic algorithms, Partial Least Squares (PLS) and Rough Sets (RS) were applied for data analyses. For ergonomic product evaluations, direct observations, 3D workload simulations, time and frequency analyses were conducted. Five product applications are included in this thesis: operator driver cabin design of reach trucks, steering wheel design trigger switch design in right-angled nutrunners, bed-making systemsproducts and waiting room environments. Heuristic methods were found effective when there is a high number of product attributes that interact to provide quality feelings. RS results are consistent with PLS attribute predictions. When the number of product attributes is large in comparison to the number of observations, PLS extracts informative results for quality feelings. The RS method is effective in identifying interactions among design attributes. Quality feelings are associated with both tangible (tactile characteristics) and intangible (quick and easy to use) product characteristics. Words such as safety, functionality, ergonomics, comfort, reliability, supportiveness, usability, feedback, pleasantness, attractiveness, durability and distinctiveness describe quality feelings from tangible products and services. Based on product type, the quality dimensions represented by these words possess different interactions and dependencies. In work environments, products act as prostheses between workers for social interaction, which need to be considered as important quality feelings dimensions. / QC 20111017

There is an increasing emphasis on developing systematical research approaches for design of products that appeal to people’s emotions and values. This thesis proposes methodological developments for investigating people’s subjective emotional needs and values towards quality and explores interactions of related physical design attributes for product design. The overall aim of the licentiate thesis is to gain an understanding on Affective engineering of products through exploring the concept of quality feeling and to develop methodological approaches for this. Quality feeling can be described as a holistic concept considering individuals’ perceptions, expectations, experiences, physical and psychological expressions for a product or service. Affective Engineering methodology aims at translating human psychological processes, such as feelings and emotions, into appropriate product design attributes, such as size, shape, and surface characteristics. The thesis presents three methodological approaches when evaluating products for affective engineering and one approach for an interactive product design support system development. The first study presented deals with feelings of quality for reach truck operator’s cabin components. Components that would convey to give a higher total quality feeling were identified and improvement opportunities were prioritized. The second study presented is based on developing an interactive affective design and decision support system software for design of the steering wheel from drivers’ individual and shared preferences. In the third study affective values arising from judgments for important feelings of quality is the study basis. The author presents research on identifying interactions of design attributes for affective values in waiting areas of primary health care services. Further, a new approach for applying Affective Engineering in design of complex contexts is proposed.The proposed approach aims to handle contexts where feelings and design attributes have complex interactions for products and services that give almost an infinite number of design alternatives that are difficult to handle in traditional Kansei Engineering studies. With this thesis also an interactive product design and decision support system software is developed for steering wheel design and proposed for educational and industrial use. The proposed system works based on linking product design attributes to human feelings by applying Genetic algorithms and provides potential basis for future product development and improvements. This thesis has also contributed with affective design recommendations applicable for vehicle cabins and waiting areas in primary health care. Moreover, a number of existing methods in Affective Engineering have been tested and methodological experience is drawn, including advantages, disadvantages and limitations of using these methods.

In der nutzerzentrierten Produktentwicklung wird der Mensch als Summe seiner individuellen physiologischen und psychologischen Ausprägungen verstanden, welche in persönlichen Bedürfnissen an das Produkt resultieren. Diese können auch als affektive Ansprüche definiert werden und sind folglich Anforderungen, die sich aus den individuellen, subjektiven Erwartungen ergeben. Das Affective Engineering (AE) stellt die Verbindung zwischen diesen Anforderungen und dem Produktdesign her und berücksichtigt die affektiven Bedürfnisse der Nutzer sowie deren affektive Zufriedenheit zur Entwicklung erfolgreicher Produkte und stellt somit die User Experience (UX) in den Fokus. Derzeit werden externe Einflussfaktoren wie z. B. das Alter oder die Kultur in bestehenden AE-Methoden nur bedingt berücksichtigt. In diesem Beitrag wird daher anhand einer beispielhaften AEMethode „ACADE +P“ die Integration externer Einflussfaktoren und dessen Nutzen forciert.

Aujourd’hui, sur le marché, on peut trouver une vaste gamme de produits différents ou des formes variées d’un même produit et ce grand assortiment fatigue les clients. Il est clair que la décision des clients d’acheter un produit dépend de l'aspect esthétique de la forme du produit et de l’affection émotionnelle. Par conséquent, il est très important de comprendre les propriétés esthétiques et de les adopter dans la conception du produit, dès le début. L'objectif de cette thèse est de proposer un cadre générique pour la cartographie des propriétés esthétiques des formes gauches en 3D en façon d'être en mesure d’extraire des règles de classification esthétiques et des propriétés géométriques associées. L'élément clé du cadre proposé est l'application des méthodologies de l’Exploration des données (Data Mining) et des Techniques d’apprentissage automatiques (Machine Learning Techniques) dans la cartographie des propriétés esthétiques des formes. L'application du cadre est d'étudier s’il y a une opinion commune pour la planéité perçu de la part des concepteurs non-professionnels. Le but de ce cadre n'est pas seulement d’établir une structure pour repérer des propriétés esthétiques des formes gauches, mais aussi pour être utilisé comme un chemin guidé pour l’identification d’une cartographie entre les sémantiques et les formes gauches différentes. L'objectif à long terme de ce travail est de définir une méthodologie pour intégrer efficacement le concept de l’Ingénierie affective (c.à.d. Affective Engineering) dans le design industriel. / Today on the market we can find a large variety of different products and differentshapes of the same product and this great choice overwhelms the customers. It is evident that the aesthetic appearance of the product shape and its emotional affection will lead the customers to the decision for buying the product. Therefore, it is very important to understand the aesthetic proper-ties and to adopt them in the early product design phases. The objective of this thesis is to propose a generic framework for mapping aesthetic properties to 3D freeform shapes, so as to be able to extract aesthetic classification rules and associated geometric properties. The key element of the proposed framework is the application of the Data Mining (DM) methodology and Machine Learning Techniques (MLTs) in the mapping of aesthetic properties to the shapes. The application of the framework is to investigate whether there is a common judgment for the flatness perceived from non-professional designers. The aim of the framework is not only to establish a structure for mapping aesthetic properties to free-form shapes, but also to be used as a guided path for identifying a mapping between different semantics and free-form shapes. The long-term objective of this work is to define a methodology to efficiently integrate the concept of Affective Engineering in the Industrial Designing.

The growing demand in the industry towards sustainability and the globalization of manufacturing lead to an industrial climate of constant development and improvements, and automotive interior design is not excluded. In 2017 the European Union declared that the material used to generate the bright chrome surfaces of car interiors (CR VI) is toxic and carcinogenic. This implies that Volvo will ban the use of Chrome VI for decorative parts from September 2024.  Finding a more eco-friendly alternative to replace CR VI not only functionally but also in terms of perceived quality and user experience will be an urgent and decisive action.  In this project, the parameters of gloss, haze, color temperature, and metallic depth are investigated in order to figure out which elements ensure the perceived quality of chrome surfaces.  For this purpose, a user study based on different sensory tests and soft metrology was carried out with 48 people, as well as seven samples, five of them more eco-friendly alternatives. This project aims to introduce a set of tools to assess and guarantee the perception of quality by supporting the development of "chrome-look" surfaces in the automotive interior with new sustainable materials. Through this study, correlating soft and hard metrology, it is observed what makes a surface perceived as "high-quality" and which of the more eco-friendly alternatives could be the most optimal to replace Chrome VI in Volvo's car interiors.