| 1. |
- Ayas Alikalfa, Ebru, 1977-, et al.
(författare)
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Affective Design of Waiting Areas in Primary Healthcare
- 2008
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Ingår i: The TQM Journal. - : Emerald Group Publishing Limited. - 1754-2731 .- 1754-274X. ; 20:4, s. 389-408
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Tidskriftsartikel (refereegranskat)abstract
- Purpose – This paper seeks to deal with affective design of waiting areas (servicescapes) and has twofold aims. The first, is to explore affective values for waiting areas. The second, is to identify interactions between physical design attributes and affective values.Design/methodology/approach – This study included a free association method for data collection, applying Kansei engineering methodology to extract design solutions relating to specific feelings. The study was undertaken at six primary health centres in Östergötland County, Sweden. In total, 88 participants (60 patients and 28 staff) were interviewed.Findings – The selected waiting areas show significant differences for their perceived affective qualities. The most desired feeling for creating affective values is found to be “calm”. The core design attributes contributing to this feeling are privacy, colours, child play-areas and green plants. Good design of lighting, seating arrangements and a low sound level are also important design attributes to give a more complete design solution.Research limitations/implications – The study provides useful insights for understanding affective needs in servicescapes, and it provides design suggestions. The results have not been analysed separately for gender or different age groups.Practical implications – The paper proposes a framework model to be applied when dealing with affective values in servicescapes.Originality/value – This paper makes an original contribution to understand affective values towards the physical environment in servicescape design. It offers a methodology to study complex environments with many alternative design solutions using limited resources. Moreover, this study uses a combination of a free association method and Rough Sets theory in affective design.
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| 2. |
- Ayas Alikalfa, Ebru, 1977-
(författare)
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Designing “Quality Feeling” In Reach Trucks : A Kansei Engineering Approach
- 2006
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Ingår i: 9th International Quality Management for Organizational Development (QMOD ) Conference. ; , s. 147-
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- In today’s markets, as the debate on customer oriented product development gets more intense, designing “Quality Feeling” in a product gain more and more importance. The basic objective of this study was to identify and analyze aspects of “Quality feeling” in a reach truck operator cabin. Kansei Engineering methodology was applied to research, how each component representing a reach truck operator cabin evoke quality feeling and how users experience quality feeling. Kansei Engineering (KE) is a consumer-oriented technology that aims to transfer customer’s perceptions, feelings and mental images into a tangible product. Quality feeling as a Kansei concept has investigated for two levels of perception in the study. The first level is comprised of Kansei words that are assumed to represent the feeling of quality for the reach truck`s operator cabin components. The second level is more general compared to the first one and concerns the views for direct Quality feeling representation of components. Forty-seven subjects evaluated eight operator cabin components of a reach truck on 7-degree SD scale, involving 20 Kansei words that represent the quality feeling. Reliability, Factor and Multivariate Regression Analyses were applied to the data gathered. The results showed that reach truck operator cabin components give rise to different perceived dimensions of quality feeling. The method used in the application moreover showed the most important operator cabin components in terms of their contribution to Total quality feeling for the reach truck. In conclusion the approach presented within this study can assist to determine user preferences and help product evelopers and designers to reflect quality feeling and other concepts.
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| 3. |
- Ayas, Ebru, 1977-
(författare)
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Engineering Feelings of Quality
- 2008
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Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- 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.
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| 4. |
- Ayas, Ebru, 1977-
(författare)
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Engineering Quality Feelings : Applications in products, service environments and work systems
- 2011
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- 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.
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| 5. |
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| 6. |
- Schütte, Simon, et al.
(författare)
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Developing Software Tools for Kansei Engineering Processes: Kansei Engineering Software (KESo) and a Design Support System Based on Genetic Algorithm
- 2006
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Ingår i: 9th International Quality Management for Organizational Development (QMOD) Conference, August 9-11, Liverpool, England.
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Konferensbidrag (refereegranskat)abstract
- Launching products successfully onto today’s markets requires not only good quality and usability for a reasonable price but also that the customer gets a good subjective impression of the product. This is especially true for mature products, which tend to be rather similar to competing products. Designing a good feeling into products is a challenge many companies face today. A new research field is named emotional design or affective engineering. One method within this field is Kansei Engineering, a methodology that can quantify user impressions mathematically. A general procedure for conducting Kansei Engineering studies has been proposed, but still much expert knowledge is necessary for those studies. Therefore, software tools facilitating this process have been developed. In this paper, two tools used at Linköping University are presented. It can be seen that those tools deliver good results and remove many obstacles for applying Kansei Engineering in companies. However, more research is needed on the theoretical bases and extraction methods.
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