Case-based reasoning for product style construction and fuzzy analytic hierarchy process evaluation modeling using consumers linguistic variables

Key form features are relative to the style of a product and the expression style features depict the product description and are a measurement of attribute knowledge. The uncertainty definition leads to an improved and effective product style retrieval when combined with fuzzy sets. Firstly, a style knowledge and features database are constructed using fuzzy case based reasoning technology (FCBR). A similarity measurement method based on case-based reasoning and fuzzy model of the fuzzy proximity method may be defined by the Fuzzy Nearest-Neighbor (FNN) algorithm obtaining the style knowledge extraction. Secondly, the Linguistic Variables (LV) are used to assess the product characteristics to establish the product style evaluation database for simplifying the style presentation and decreasing the computational complexity. Thirdly, the model of product style feature set, extracted by FAHP and the final style related form features set, are acquired using LV. This research involves a case study for extracting the key form features of the style of high heel shoes. The proposed algorithms are generated by calculating the weights of each component of high heel shoes using FAHP with LV. The case study and results established that the proposed method is feasible and effective for extracting the style of the product

Product Configuration Systems: State of the Art, Conceptualization and Extensions

Product configurators are considered to be among the most successful applications of artificial intelligence technology. In this paper, we determine different conceptualizations of configurators and condense them in a comprehensive morphological box, which should support configurator designers as well as decision makers in selecting the right system. The analysis of the criteria according to which configurators that are designed thus far reveals a neglect of the front-end perspective. Therefore, it is relevant to extend configurators with a front-end component assisting customers during product configuration through advisory. We develop a framework describing the main requirements on an advisory system and propose the technical infrastructure for its implementation. Finally, the advisory system and the configurator are integrated into a comprehensive interaction system.product configurators; advisory system; product personalization

Natural Language Processing in-and-for Design Research

We review the scholarly contributions that utilise Natural Language Processing (NLP) methods to support the design process. Using a heuristic approach, we collected 223 articles published in 32 journals and within the period 1991-present. We present state-of-the-art NLP in-and-for design research by reviewing these articles according to the type of natural language text sources: internal reports, design concepts, discourse transcripts, technical publications, consumer opinions, and others. Upon summarizing and identifying the gaps in these contributions, we utilise an existing design innovation framework to identify the applications that are currently being supported by NLP. We then propose a few methodological and theoretical directions for future NLP in-and-for design research

KEER2022

Avanttítol: KEER2022. DiversitiesDescripció del recurs: 25 juliol 202

Kansei engineering with online review mining methodology for robust service design

Kansei Engineering (KE) has shown its prominent applicability in service design and development, focusing on translating and interpreting customers’ emotional needs (Kansei) into service characteristics. It is critical and promising as the services sector has grown faster than the manufacturing sector in developing economies in the past three decades. It accounted for an average of 55% of GDP in some developing economies. KE’s flexibility in collaborating with other methods and covering various service settings shows its unique superiority. However, there is criticism of the collected Kansei’s validity and the proposed solution’s robustness. It might be potentially caused by the dynamics of customer emotional needs and various service settings. As a result, Kansei is found to be somewhat fuzzy, unclear, and ambiguous. Hence, a more structured KE methodology incorporating the Kansei text mining process for robust service design is proposed. Kansei text mining approach will extract and summarize service attributes and their corresponding affective responses based on the online product descriptions and customer reviews. The Taguchi method will support the robustness of the proposed improvement strategy. An empirical study of a zoo as a tourism attraction service and its practical implication is discussed and validated in the proposed integrative framework

Understanding and modeling of aesthetic response to shape and color in car body design

This study explored the phenomenon that a consumer's preference on color of car body may vary depending on shape of the car body. First, the study attempted to establish a theoretical framework that can account for this phenomenon. This framework is based on the (modern-) Darwinism approach to the so-called evolutionary psychology and aesthetics. It assumes that human's aesthetic sense works like an agent that seeks for environmental patterns that potentially afford to benefit the underlying needs of the agent, and this seeking process is evolutionary fitting. Second, by adopting the framework, a pattern called “fundamental aesthetic dimensions” was developed for identifying and modeling consumer’s aesthetic response to car body shape and color. Next, this study developed an effective tool that is capable in capturing and accommodating consumer’s color preference on a given car body shape. This tool was implemented by incorporating classic color theories and advanced digital technologies; it was named “Color-Shape Synthesizer”. Finally, an experiment was conducted to verify some of the theoretical developments. This study concluded (1) the fundamental aesthetics dimensions can be used for describing aesthetics in terms of shape and color; (2) the Color-Shape Synthesizer tool can be well applied in practicing car body designs; and (3) mapping between semantic representations of aesthetic response to the fundamental aesthetics dimensions can likely be a multiple-network structure

Implementasi Kansei Engineering Pada Aplikasi Kontrol Gula darah Mandiri Untuk Membantu Pasien Diabetes Tipe 2 Non Insulin

Prosentase penderita penyakit diabetes di Indonesia adalah sebesar 6.9 % dari keseluruhan populasi. 90 % diantaranya termasuk ke dalam diabetes tipe 2. Dalam usahanya untuk membantu penanganan diabetes, International Diabetes Foundation (IDF) memiliki suatu program yang disebut dengan Self-Monitoring of Blood Glucose (SMBG). Program tersebut dirancang untuk mengetahui informasi terkait dengan level gula darah pada waktu tertentu, dimana hasil informasi akan digunakan sebagai acuan dalam penentuan diet makanan serta aktivitas fisik yang harus dilakukan penderita dalam usahanya menurunkan level gula darah mereka. Di Indonesia, sistem self-monitoring belum diimplementasikan secara merata dikarenakan banyaknya hambatan dalam penggunaan aplikasi. Salah satunya adalah kemampuan penderita untuk menginterpretasikan level gula darah yang dicek dan penggunaannya dalam menentukan diet makanan yang harus dilakukan. Melihat perkembangan penggunaan smartphone dan internet pada beberapa tahun terakhir, media informasi dan teknologi dapat dijadikan salah satu solusi kesuksesan implementasi SMBG di Indonesia. Untuk penyelesaian permasalahan yang ada, digunakan metode Kansei Engineering sebagai upaya dalam menangkap suara customer terkait aplikasi tersebut untuk kemudian ditranslasikan ke komponen-komponen rancangan baru pada aplikasi. Penggunaan Kansei Engineering pada penelitian diakibatkan oleh kemampuannya dalam menangkap atribut tersembunyi dalam produk. Analisa statistik yang digunakan untuk mendukung penggunaan Kansei Engineering merupakan Factor Analysis dan Partial Least Squares (PLS). Hasil dari analisa statistik menunjukkan terdapat empat (4) komponen kansei terpilih, diantaranya konsistensi pencatatan data (data record persistence), kemudahan penggunaan (ease of use), tampilan data (data presentation), dan tampilan visual (visual attractiveness). Dari Partial Least Analysis, empat komponen ini kemudian dijadikan konsep rancangan dasar dalam pembuatan rancangan baru aplikasi. ================================================================================================================== The proportion of people having diabetic in Indonesia is 6.9% of Indonesia population, and 90% of the diabetic population is including in Type 2 Diabetes. To control diabetes, International Diabetes Foundation (IDF) has a program named Self-Monitoring of Blood Glucose (SMBG). It is designed to gather detail information about the blood glucose on the certain time that will be used to adjust dietary habit and physical activity. In Indonesia, self-monitoring have not been done widely, because there are many obstacles in its application. One of them is patient’s ability to read blood glucose level they have recorded, and use it to determine their food consumption. Seeing the rapid development of smartphone and internet in recent years, information and technology can become a solution for the success of SMBG in Indonesia. To solve this problem, Kansei Engineering method is used to translate the customer / patient’s perception of the application into design elements. Kansei Engineering usage in this research is based on the ability of this method to catch the impression of the product that usually hidden. Statistical analysis which are Factors Analysis and Partial Least Squares (PLS) Analysis are used to support Kansei Engineering. From the statistical analysis, there are four selected Kansei components which are data record persistence’, ‘ease of use’, ‘data presentation’, and ‘visual attractiveness’. From Partial Least Analysis, these new concepts were transferred to new design specifications that became the basic design concepts

A STEP TOWARD AN INTELLIGENT AND INTEGRATED COMPUTER-AIDED DESIGN OF APPAREL PRODUCTS

An apparel product (or “apparel”) is a human product. The design of an apparel product (or “apparel design”) should share many features of general product design and be conducted with a high degree of systematics and rationality. However, the current practice of apparel design is relatively more experience-based and ad-hoc than it should be. Besides, computer support to apparel design is quite limited in that there are several software systems available for supporting apparel design but they are isolated. Two reasons may explain this above situation: (1) absence of the ontology of apparel and apparel design, and (2) absence of a systematic and rational apparel design process. Furthermore, apparel is a specialized type of product in that all three inherent requirements (i.e., function, comfort related to ergonomics, and pleasure related to aesthetics) are equally important, especially the latter, which creates positive affects in the human wearer. In general, knowledge of how to design an apparel product for pleasure/affects is missing from the current design. The general motivation for the research conducted in this thesis is to locate and articulate this “missing knowledge” in order to advance design technology including computer-aided design for modern apparel products. The specific objectives of the research presented in this thesis are: (1) development of a model for the ontology of apparel or apparel system so that all basic concepts and their relationships related to the apparel system are captured; (2) development of a systematic design process for apparel that captures all the inherent characteristics of design, namely iteration and open-endedness; and (3) development of a computer-aided system for affective design for apparel, whereby human feeling once described can be computed with the result that an apparel product meets the wearer’s “feeling needs” (functional and ergonomic needs are assumed to be satisfied or not the concern of this thesis). There are several challenges to achieving the foregoing objectives. The first of these is the understanding of ontology for apparel and apparel design, given that there are so many types of apparel and ad-hoc apparel design processes in practice. The second challenge is the generalization and aggregation of the various ad-hoc apparel design processes that exist in practice. Third is the challenge presented by imprecise information and knowledge in the aspect of human’s affect. All three above challenges have been tackled and answered in this thesis. The first challenge is tackled with the tool of data modeling especially semantic-oriented data modeling. The second challenge is tackled with the general design theory such as general design phase theory, axiomatic design theory, and FCBPSS knowledge architecture (F: function, C: context, B: behavior, P: principle, SS: state and structure). The third challenge is tacked with the data mining technique and subjective rating technique. Several contributions are made with this thesis. First is the development of a comprehensive ontology model for apparel and apparel design that provides a basis for computer-aided design and manufacturing of apparel in the future. Second is the development of a general apparel design process model that offers a reference model for any specific apparel design process. Third is the provision of new “data mining” technology for acquiring words in human language that express affects. It should be noted that this technology is domain-independent, and thus it is applicable to any other type of product for affective design. The final contribution is the development of a method for searching apparel design parameters which describe an apparel product meeting a wearer’s required feelings described by “feeling words”. The database of words and the algorithm can be readily incorporated into commercial software for computer aided design of apparel products with the new enabler (i.e., design for affect or feeling)