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Effect of physical activity through virtual reality on design creativity AI EDAM (IF 1.119) Pub Date : 2021-01-21 Kenton B. Fillingim; Hannah Shapiro; Catherine J. Reichling; Katherine Fu
A deeper understanding of creativity and design is essential for the development of tools to improve designers’ creative processes and drive future innovation. The objective of this research is to evaluate the effect of physical activity versus movement in a virtual environment on the creative output of industrial design students. This study contributes a novel assessment of whether the use of virtual
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A scenario-integrated approach for functional design of smart systems AI EDAM (IF 1.119) Pub Date : 2021-01-05 Fajun Gui; Yong Chen
Functional design is regarded as a design activity primarily aimed at clarifying customer needs, and developing the functional architecture and solution concepts for a system under development. Existing functional design approaches are mainly focused on how to assist designers in searching for solution principles for desired products, which, however, do not adequately take into account the interactions
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Smart design of intelligent companion toys for preschool children AI EDAM (IF 1.119) Pub Date : 2020-12-07 Xin Wang; Nian Yin; Zhinan Zhang
Early childhood education has long-lasting influences on people, and an appropriate companion toy can play an essential role in children's brain development. This paper establishes a complete framework to guide the design of intelligent companion toys for preschool children from 2 to 6 years old, which is child-centered and environment-oriented. The design process is divided into three steps: requirement
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Exploring the effect of a visual constraint on students’ design cognition AI EDAM (IF 1.119) Pub Date : 2020-12-04 Mohammadali Ashrafganjouei; John S. Gero
This paper presents the results of a study that explores the effect of a visual constraint on design behaviors of architecture students. To examine this effect, 24 second-year architecture students volunteered to participate. Each of them undertook similar conceptual design briefs in two different conditions, one with and another without a visual constraint. Retrospective reporting was used to collect
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What difference does an academic makerspace make? A case study on the effect and outreach of DTU Skylab AI EDAM (IF 1.119) Pub Date : 2020-11-06 Ali Gürcan Özkil; Lasse Skovgaard Jensen; Camilla Arndt Hansen
With the rise of the “Maker Movement” and the entrepreneurial university, academic makerspaces became widespread. These facilities provide tools and machines that enable making and tinkering; and while the offerings, organizational and operational models, and outreach of the academic makerspaces can vary widely across institutions, their common value proposition is enabling innovation, entrepreneurship
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What's taking so long? A collaborative method of collecting designers’ insight into what factors increase design effort levels in projects AI EDAM (IF 1.119) Pub Date : 2020-09-11 Alexander Freddie Holliman; Avril Thomson; Abigail Hird; Nicky Wilson
Design effort is a key resource for product design projects. Environments where design effort is scarce, and therefore valuable, include hackathons and other time-limited design challenges. Predicting design effort needs is key to successful project planning; therefore, understanding design effort-influencing factors (objective considerations that are universally accepted to exert influence on a subject
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Evaluating aircraft cockpit emotion through a neural network approach AI EDAM (IF 1.119) Pub Date : 2020-11-05 Yanhao Chen; Suihuai Yu; Jianjie Chu; Dengkai Chen; Mingjiu Yu
Studies show that there are shortcomings in applying conventional methods for the emotional evaluation of the aircraft cockpit. In order to resolve this problem, a more efficient cockpit emotion evaluation system is established in the present study to simply and quickly obtain the cockpit emotion evaluation value. To this end, the neural network is applied to construct an emotional model to evaluate
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Association rules mining between service demands and remanufacturing services AI EDAM (IF 1.119) Pub Date : 2020-10-26 Wenbin Zhou; Xuhui Xia; Zelin Zhang; Lei Wang
The potential relationship between service demands and remanufacturing services (RMS) is essential to make the decision of a RMS plan accurately and improve the efficiency and benefit. In the traditional association rule mining methods, a large number of candidate sets affect the mining efficiency, and the results are not easy for customers to understand. Therefore, a mining method based on binary
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Toward a cyber-physical manufacturing metrology model for industry 4.0 AI EDAM (IF 1.119) Pub Date : 2020-10-26 Slavenko M. Stojadinovic; Vidosav D. Majstorovic; Numan M. Durakbasa
Industry 4.0 represents high-level methodologies for the development of new generation manufacturing metrology systems, which are more intelligent (smart), autonomous, flexible, high-productive, and self-adaptable. One of the systems capable of responding to these challenges is a cyber-physical manufacturing metrology system (CP2MS) with techniques of artificial intelligence (AI). In general, CP2MS
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Autonomous resource allocation of smart workshop for cloud machining orders AI EDAM (IF 1.119) Pub Date : 2020-10-07 Jizhuang Hui; Jingyuan Lei; Kai Ding; Fuqiang Zhang; Jingxiang Lv
In order to realize the online allocation of collaborative processing resource of smart workshop in the context of cloud manufacturing, a multi-objective optimization model of workshop collaborative resources (MOM-WCR) was proposed. Considering the optimization objectives of processing time, processing cost, product qualification rate, and resource utilization, MOM-WCR was constructed. Based on the
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Protobooth: gathering and analyzing data on prototyping in early-stage engineering design projects by digitally capturing physical prototypes AI EDAM (IF 1.119) Pub Date : 2020-09-24 Jorgen F. Erichsen; Heikki Sjöman; Martin Steinert; Torgeir Welo
Aiming to help researchers capture output from the early stages of engineering design projects, this article presents a new research tool for digitally capturing physical prototypes. The motivation for this work is to collect observations that can aid in understanding prototyping in the early stages of engineering design projects, and this article investigates if and how digital capture of physical
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Evolutionary layout design synthesis of an autonomous greenhouse using product-related dependencies AI EDAM (IF 1.119) Pub Date : 2020-09-21 Yann-Seing Law-Kam Cio; Yuanchao Ma; Aurelian Vadean; Giovanni Beltrame; Sofiane Achiche
The development of autonomous greenhouses has caught the interest of many researchers and industrial considering their potential of offering an optimal environment for the growth of high-quality crops with minimum resources. Since an autonomous greenhouse is a mechatronic system, the consideration of its subsystem (e.g. heating systems) and component (e.g. actuators and sensors) interactions early
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Analyzing cognitive processes of a product/service-system design session using protocol analysis AI EDAM (IF 1.119) Pub Date : 2020-09-17 Tomohiko Sakao; John Gero; Hajime Mizuyama
Product/service systems (PSSs) are increasingly found in markets, and more resources are being invested in PSS design. Despite the substantial research into PSS design, the current literature exhibits an incomplete understanding of it as a cognitive activity. This article demonstrates that the methods used to analyze product designers’ cognitive behavior can be used to produce comparable and commensurable
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Cutting force prediction in ultrasonic-assisted milling of Ti–6Al–4V with different machining conditions using artificial neural network AI EDAM (IF 1.119) Pub Date : 2020-09-11 Ramazan Hakkı Namlu; Cihan Turhan; Bahram Lotfi Sadigh; S. Engin Kılıç
Ti–6Al–4V alloy has superior material properties such as high strength-to-weight ratio, good corrosion resistance, and excellent fracture toughness. Therefore, it is widely used in aerospace, medical, and automotive industries where machining is an essential process for these industries. However, machining of Ti–6Al–4V is a material with extremely low machinability characteristics; thus, conventional
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Automated areas of interest analysis for usability studies of tangible screen-based user interfaces using mobile eye tracking AI EDAM (IF 1.119) Pub Date : 2020-09-11 M. Batliner; S. Hess; C. Ehrlich-Adám; Q. Lohmeyer; M. Meboldt
The user's gaze can provide important information for human–machine interaction, but the analysis of manual gaze data is extremely time-consuming, inhibiting wide adoption in usability studies. Existing methods for automated areas of interest (AOI) analysis cannot be applied to tangible products with a screen-based user interface (UI), which have become ubiquitous in everyday life. The objective of
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Spatial design factors associated with creative work: a systematic literature review AI EDAM (IF 1.119) Pub Date : 2020-07-29 Katja Thoring; Roland M. Mueller; Pieter Desmet; Petra Badke-Schaub
The term “creative space” describes a relatively recent phenomenon of innovative workplace design. Such creative workspaces are becoming popular in industry and academia. However, the impact of specific spatial design decisions on creativity and innovation is not yet fully understood. This paper provides an overview of state-of-the-art research on creative work and learning environments. We conducted
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The configuration and experience mapping of an accessible VR environment for effective design reviews AI EDAM (IF 1.119) Pub Date : 2020-07-20 Andrew Wodehouse; Brian Loudon; Lewis Urquhart
This paper presents a new VR interaction environment for the evaluation of digital prototypes, specifically in designer–client review sessions, and documents its implementation via experience mapping. Usability of VR controllers and basic manipulation remains a barrier for lay users, and a range of typical implementations are reviewed, highlighting the need for an easily accessible interface for this
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Decent fault classification of VFD fed induction motor using random forest algorithm AI EDAM (IF 1.119) Pub Date : 2020-07-20 Parth Sarathi Panigrahy; Deepjyoti Santra; Paramita Chattopadhyay
A data-driven approach for multiclass fault diagnosis of drive fed induction motor (IM) using stator current at steady-state condition is a complex pattern classification problem. The applied DWT-IDWT algorithm in this work is reinforced by a novel selection criterion for mother wavelet application and justifies the originality of the work. This investigation has exploited the built-in feature selection
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Optimization test of a rule-based swarm intelligence simulation for the conceptual design process AI EDAM (IF 1.119) Pub Date : 2020-07-15 Asli Agirbas
Today, in the field of architecture, bio-inspired algorithms can be used to design and seek solutions to design problems. Two of the most popular algorithms are the genetic algorithm (GA) and swarm intelligence algorithm. However, no study has examined the simultaneous use of these two bio-inspired algorithms in the field of architecture. Therefore, this study aims to test whether these two bio-inspired
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SSIEA: a hybrid evolutionary algorithm for supporting conceptual architectural design AI EDAM (IF 1.119) Pub Date : 2020-07-15 Likai Wang; Patrick Janssen; Guohua Ji
Significant research has been undertaken focusing on the application of evolutionary algorithms for design exploration at conceptual design stages. However, standard evolutionary algorithms are typically not well-suited to supporting such optimization-based design exploration due to the lack of design diversity in the optimization result and the poor search efficiency in discovering high-performing
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Academic makerspaces as a “design journey”: developing a learning model for how women students tap into their “toolbox of design” AI EDAM (IF 1.119) Pub Date : 2020-07-13 Megan Tomko; Wendy Newstetter; Melissa W. Alemán; Robert L. Nagel; Julie Linsey
An academic makerspace, home to tools and people dedicated to facilitating and inspiring a making culture, is characterized by openness, creativity, learning, design, and community. This nontraditional learning environment has found an immense increase in popularity and investment in the last decade. Further, makerspaces have been shown to be highly gendered, privileging men's and masculine understandings
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Design characteristics and aesthetics in evolutionary design of architectural forms directed by fuzzy evaluation AI EDAM (IF 1.119) Pub Date : 2020-05-26 Agnieszka Mars; Ewa Grabska; Grażyna Ślusarczyk; Barbara Strug
This paper deals with design characteristics-oriented approach to architectural design based on the combination of three methods – recognition, generation, and evaluation. Design characteristics are understood as a set of specific features which constitute a discriminant of a class of architectural forms. The Biederman recognition-by-components theory is used to recognize the design structure. An evolutionary
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Category, process, and recommendation of design in an interactive evolutionary computation interior design experiment: a data-driven study AI EDAM (IF 1.119) Pub Date : 2020-05-04 Weixin Huang; Xia Su; Mingbo Wu; Lijing Yang
Design is a complicated and sophisticated process with numerous existing theories trying to describe it. To verify theories and quantitatively describe the design process, design experiment, and data analysis are crucial and inevitable. However, applying data analysis in the design experiment is tricky and design data is not fully utilized in many aspects. To explore the potential of design experiment
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An exploration-based approach to computationally supported design-by-analogy using D3 AI EDAM (IF 1.119) Pub Date : 2020-05-28 Hyeonik Song; Jacob Evans; Katherine Fu
Computational support for design-by-analogy (DbA) is a growing field, as it aids the process for designers looking to draw inspiration from external sources by harnessing the power of data mining and data visualization. This study presents a unique exploration-based approach for the analogical retrieval process using a computational tool called VISION (Visual Interaction tool for Seeking Inspiration
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A conceptual tool for environmentally benign design: development and evaluation of a “proof of concept” AI EDAM (IF 1.119) Pub Date : 2020-05-14 Shakuntala Acharya; Amaresh Chakrabarti
Design is a decision-making process for which knowledge is a prerequisite. Most decisions are taken at the conceptual stage and have pronounced influence on the final design. The literature, therefore, recommends the incorporation of sustainability criteria, such as environment, at this stage. Difficulty in performing life cycle assessment (LCA) due to low availability of information at the conceptual
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Evaluating the effectiveness of InDeaTe tool in supporting design for sustainability AI EDAM (IF 1.119) Pub Date : 2020-05-14 Shakuntala Acharya; Kiran Ghadge; B. S. C. Ranjan; Suman Devadula; Amaresh Chakrabarti
In today's aggressive global market, innovation is key for success and design solutions require not only to achieve competitive edge, but also to address the growing environmental, social, and economic needs of the community at large. Consideration of these three pillars of sustainability makes a design inclusive, and life cycle thinking is found to be a promising approach across the literature. However
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An explicit methodology for manufacturing cost–tolerance modeling and optimization using the neural network integrated with the genetic algorithm AI EDAM (IF 1.119) Pub Date : 2020-04-29 A. Saravanan; J. Jerald; A. Delphin Carolina Rani
The objective of the paper is to develop a new method to model the manufacturing cost–tolerance and to optimize the tolerance values along with its manufacturing cost. A cost–tolerance relation has a complex nonlinear correlation among them. The property of a neural network makes it possible to model the complex correlation, and the genetic algorithm (GA) is integrated with the best neural network
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Enabling parametric design space exploration by non-designers AI EDAM (IF 1.119) Pub Date : 2020-04-16 Eduardo Castro e Costa; Joaquim Jorge; Aaron D. Knochel; José Pinto Duarte
In mass customization, software configurators enable novice end-users to design customized products and services according to their needs and preferences. However, traditional configurators hardly provide an engaging experience while avoiding the burden of choice. We propose a Design Participation Model to facilitate navigating the design space, based on two modules. Modeler enables designers to create
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A shape grammar for the building-type definition of the ancient Greek and Roman library and the evaluation of library plans AI EDAM (IF 1.119) Pub Date : 2020-03-20 Myrsini Mamoli
This paper presents in detail a parametric shape grammar for the generation of ancient Greek and Roman library plans. Ancient Libraries showcase a significant variability of scale, monumentality, and design with the use of different architectural components, and researchers cannot identify them as easily as other building types. The grammar is in 2D and captures all the variability of libraries from
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Demonstration, extension, and refinement of the re-proposed notion of design abduction AI EDAM (IF 1.119) Pub Date : 2020-03-16 Lauri Koskela; Ehud Kroll
The original ideas on design abduction, inspired by treatments in philosophy of science, had a narrow conception on how novelty emerges in design, when looked at in terms of logic. The authors have previously presented a re-proposed notion of abduction in design, taking the differences between science and design into account. Now, in this article, the invention of the airplane by the Wright brothers
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Reinforcement learning-based collision avoidance: impact of reward function and knowledge transfer AI EDAM (IF 1.119) Pub Date : 2020-03-16 Xiongqing Liu; Yan Jin
Collision avoidance for robots and vehicles in unpredictable environments is a challenging task. Various control strategies have been developed for the agent (i.e., robots or vehicles) to sense the environment, assess the situation, and select the optimal actions to avoid collision and accomplish its mission. In our research on autonomous ships, we take a machine learning approach to collision avoidance
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User research enabled by makerspaces: bringing functionality to classical experience prototypes AI EDAM (IF 1.119) Pub Date : 2020-03-11 Matilde Bisballe Jensen; Martin Steinert
This paper sheds light on the new possibilities for user research activities facilitated by access to makerspaces. We present four case studies of user research conducted in two university-based makerspaces as examples of makerspace-driven user research. Further, by comparing the cases to three classical user research activities, namely observation, prototyping, and user journey mapping, we highlight
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Humanitarian makerspaces in crisis-affected communities AI EDAM (IF 1.119) Pub Date : 2020-03-03 Lucia Corsini; James Moultrie
There is an increasing demand for humanitarian aid around the world. At the same time, the number of makerspaces has been growing exponentially. Recently, the humanitarian sector has become interested in how these new design spaces can help crisis-affected populations. Despite the emergence of humanitarian makerspaces, there is little research to date that documents their outcomes and impacts. A multi-case
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Intelligent model-based optimization of cutting parameters for high quality turning of hardened AISI D2 AI EDAM (IF 1.119) Pub Date : 2020-03-03 Vahid Pourmostaghimi; Mohammad Zadshakoyan; Mohammad Ali Badamchizadeh
This paper proposes an intelligent model-based optimization methodology for optimizing the production cost and material removal rate subjected to surface quality constraint in turning operation of hardened AISI D2. Unlike traditional approaches, this paper deals with finding optimum cutting parameters considering the real condition of the cutting tool. Tool flank wear is predicted by the model obtained
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Digital Design and Manufacturing on the Cloud: A Review of Software and Services – RETRACTION AI EDAM (IF 1.119) Pub Date : 2020-02-12 Dazhong Wu; Janis Terpenny; Dirk Schaefer
This paper (Wu 2016), which was published in AI EDAM online on August 22, 2016, has been retracted by Cambridge University Press as it is very similar in content to a published ASME Conference Proceedings paper. The article in question and the ASME Conference Proceedings paper were submitted for review with AI EDAM and the ASME at similar times, but copyright was assigned to ASME before the paper was
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Review of the use of neurophysiological and biometric measures in experimental design research AI EDAM (IF 1.119) Pub Date : 2020-02-11 Yuri Borgianni; Lorenzo Maccioni
Design is inherently affected by human-related factors and it is of no surprise that the fine-tuning of instruments capable of measuring aspects of human behavior has attracted interest in the design field. The recalled instruments include a variety of devices that capture and quantitatively assess people's unintentional and unconscious reactions and that are generally referred as neurophysiological
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Developing a new hybrid soft computing technique in predicting ultimate pile bearing capacity using cone penetration test data AI EDAM (IF 1.119) Pub Date : 2020-01-30 Hooman Harandizadeh
This research intends to investigate a new hybrid artificial intelligence (AI) technique compared to some common CPT methods in estimating axial ultimate pile bearing capacity (UPBC) using cone penetration test (CPT) data in geotechnical engineering applications. A data series of 108 samples was collected in order to develop a new hybrid structure of an adaptive neuro-fuzzy inference system (ANFIS)
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Using evolutionary algorithms to select text features for mining design rationale AI EDAM (IF 1.119) Pub Date : 2020-01-30 Miriam Lester; Miguel Guerrero; Janet Burge
At its heart, design is a decision-making process. These decisions, and the reasons for making them, comprise the design rationale (DR) for the designed artifact. If available, DR provides a comprehensive record of the reasoning behind the decisions made during the design. Unfortunately, while this information is potentially quite valuable, it is usually not explicitly captured. Instead, it is often
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Identification of contribution and lacks of the ecodesign education to the achievement of sustainability issues by analyzing the French education system AI EDAM (IF 1.119) Pub Date : 2020-01-29 Catherine Perpignan; Vincent Robin; Yacine Baouch; Benoit Eynard
The sustainability concept is becoming ingrained in the international engineering community. The next generation of engineers has to be trained to appreciate economic, environmental, and societal impacts of its decisions, with an international perspective and at a local and global scale. The aim of this paper is to contribute to identifying the strengths and limits of current sustainability education
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Using agent-based simulation for public space design based on the Shanghai Bund waterfront crowd disaster AI EDAM (IF 1.119) Pub Date : 2020-01-29 Yuanyuan Liu; Toshiyuki Kaneda
With growing city density and mass gatherings held all over the world in urban spaces, crowd disasters have been happening each year. In considering the avoidance of crowd disasters and the reduction of fatalities, it is important to analyze the efficient spatial layout of the public space in situations of high crowd density. Compared with traditional empirical design methods, computational approaches
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Fleet optimization considering overcapacity and load sharing restrictions using genetic algorithms and ant colony optimization AI EDAM (IF 1.119) Pub Date : 2020-01-13 Fredy Kristjanpoller; Kevin Michell; Werner Kristjanpoller; Adolfo Crespo
This paper presents a fleet model explained through a complex configuration of load sharing that considers overcapacity and is based on a life cycle cost (LCC) approach for cost-related decision-making. By analyzing the variables needed to optimize the fleet size, which must be evaluated in combination with the event space method (ESM), the solution to this problem would normally require high computing
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The relationship between knowledge mapping and the open innovation process: the case of education system AI EDAM (IF 1.119) Pub Date : 2019-11-28 Brahami Menaouer; Matta Nada
In an increasingly competitive economic environment, innovation has become an invaluable asset to the organization and for effective knowledge management (KM). Nowadays, organizations are knowledge based and their success and survival depend on creativity, diversity, and innovation. A knowledge map is a vital tool for better KM and innovation. To this effect, the innovation processes on KMin education
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A personalized requirement identifying model for design improvement based on user profiling AI EDAM (IF 1.119) Pub Date : 2019-11-27 Jing Li; Xinwei Zhang; Keqin Wang; Chen Zheng; Shurong Tong; Benoit Eynard
The personalization of products and services has become an inevitable trend in the manufacturing and service industry, but it is very difficult to identify users' personalized requirements accurately. This paper solves this problem by constructing an identifying model for personalized requirement based on user profiling. Firstly, the framework of the proposed model and the process of identifying the
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Framework for metaphor-based spatial configuration design: a case study of Japanese rock gardens AI EDAM (IF 1.119) Pub Date : 2019-10-31 Yuval Kahlon; Haruyuki Fujii
Metaphors are powerful tools for design, enabling designers to encapsulate sets of properties and relations as short verbal descriptions. This paper aims to clarify how simple spatial configurations may emerge from concise metaphoric descriptions at the conceptual design phase. To this aim, we propose a framework for a metaphor-based design process. As a basis for the framework, we introduce the concept
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A computer-aided approach improving the Axiomatic Design theory with the distributed design resource environment AI EDAM (IF 1.119) Pub Date : 2019-10-09 Bin Chen; Jie Hu; Jin Qi; Weixing Chen
In the traditional Axiomatic Design (AD) theory, the mapping from the functional domain to the physical domain is based on the designers’ own knowledge and experience, and there is no systematical approach including the design resources provided outside the designers themselves’ access. Thus, the raw materials for the design process are largely limited, which means they can hardly support the designers’
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A method for choosing adapted life cycle assessment indicators as a driver of environmental learning: a French textile case study AI EDAM (IF 1.119) Pub Date : 2019-09-16 Tatiana Reyes; Reidson Pereira Gouvinhas; Bertrand Laratte; Bruno Chevalier
Despite alefforts for a sustainable production system, many companies are still struggling to implement environmental aspects in their daily product development processes. Among the evaluation and improvement methods, life cycle assessment (LCA) is one of the most popular tools to achieve this goal. Up to date, LCA has been applied to many products, services, and industrial systems to evaluate their
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Investigating vehicle interior designs using models that evaluate user sensory experience and perceived value AI EDAM (IF 1.119) Pub Date : 2019-09-12 Ching-Chien Liang; Ya-Hsueh Lee; Chun-Heng Ho; Kuo-Hsiang Chen
This study adopted a Kansei engineering methodology to examine users’ Kansei values toward automotive interior designs by conducting experiments under two models: sensory experience and perceived value evaluation models. In the sensory experience model, 60 participants were recruited to experience using 27 vehicle samples and to assign scores to eight Kansei keywords. Hayashi's quantification theory
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