Search results

The purpose of this research is to aim to improve the cognitive understanding of knowledge processing and provide a cognitive knowledge modeling method in product design.

In this paper, a cognitive model of knowledge processing is described. A cognitive knowledge modeling method is presented. Suggestions on cognitive support for knowledge based systems are provided.

There is often a fundamental mismatch between the way human process knowledge and the way it is processed by technology for supporting product design. It is necessary to develop tools, methods and technology which integrate seamlessly with the design process. This study focuses on the internal human activities and explores knowledge management research from a human factors perspective. Cognitive knowledge modeling will result in a natural integration of knowledge‐based systems into the design process.

This study uses an experimental approach and hopefully the research can therefore be generalized to other situations.

This study provides guidelines for cognitive support for knowledge‐based systems.

Cognitive knowledge processing is described and a cognitive knowledge modeling method is presented. The paper explores knowledge management research by analyzing human activities, in combination with the study of management and engineering technologies.

The city can be viewed from many perspectives. In this article the author's perspective will be the city as knowledge tool. In the knowledge economy it might be argued that one of the most essential dimensions will be the relational as well as organizational dimensions, such as a city. The city is the larger context, or structural capital surrounding the human capital, for the value creation dynamics. This also implies that the city is a very complex issue but also highly dynamic knowledge context.

The method is literature review, empirical project case observations and creative research.

The city might be seen in this context of a more or less good city regime to support the value creation from and for the knowledge workers. Then the distinction can be that a knowledge city is purposely designed for encouraging and nourishing the collective knowledge, i.e. intellectual capital, as capabilities to shape efficient and sustainable actions of welfare over time. The city can be seen as the structural capital surrounding the human capital but also the relational capital connecting the human capital with the structural capital to give a higher value adding for the knowledge worker.

The city design is the critical organizational and relational capital of tomorrow for the knowledge worker. The city concept and design of its new urbanism, i.e. people migrating into cities, is becoming more and more of a strategic tool in the global competition of knowledge or talent war. To shape the efficient interface for the individual knowledge worker to leverage the global opportunity space with a local opportunity space. In the case of urban design for the knowledge economy this might take us to the need for designing a knowledge port for the knowledge flow as an exchange design for the intangible flows.

This paper views the larger structural capital surrounding the knowledge worker by both looking at some cases as well as stating a preliminary model of drivers for design of a knowledge city. These mentioned cases or forecasts might have strong impact on the urban design for attracting and nourishing citizens for the growth of social capital as network of friends into a new type of urbanism for minds. The knowledge city design is a unifying concept that will help to integrate perspectives of economics, urban studies and knowledge management. The design of a knowledge harbor concept is a multidisciplinary issue and is now being prototyped in reality.

Fixture design is a complicated task requiring both intensive knowledge and experience. This paper aims to present a computer-aided fixture design (CAFD) system framework based on design reuse technology.

Fixture design domain ontology is constructed by analyzing fixture design document corpus. A design reuse engine is proposed to realize fixture design knowledge retrieval and fixture model retrieval based on ontology and find fixture design cases similar to fixture design problem, and then use evolutionary methods to modify the retrieved model to meet the design requirements and then generate a new fixture.

The paper finds that the proposed framework is an efficient tool to improve efficiency of fixture design.

Fixture design existing experience and cases can be used efficiently reused and to advance new fixture design processes.

This paper presents a CAFD system framework capable of carrying out fixture design through full using of the existing fixture design resource and experienced knowledge.

The purpose of this paper is to provide a knowledge-enabled digital twin for smart design (KDT-SD) of aircraft assembly line (AAL) to enhance the AAL efficiency, performance and visibility. Modern AALs usually need to have capabilities such as digital-physical interaction and self-evaluation that brings significant challenges to traditional design method for AAL. The digital twin (DT) combining with reusable knowledge, as the key technologies in this framework, is introduced to promote the design process by configuring, understanding and evaluating design scheme.

The proposed KDT-SD framework is designed with the introduction of DT and knowledge. First, dynamic design knowledge library (DDK-Lib) is established which could support the various activities of DT in the entire design process. Then, the knowledge-driven digital AAL modeling method is proposed. At last, knowledge-based smart evaluation is used to understand and identify the design flaws, which could further improvement of the design scheme.

By means of the KDT-SD framework proposed, it is possible to apply DT to reduce the complexity and discover design flaws in AAL design. Moreover, the knowledge equips DT with the capacities of rapid modeling and smart evaluation that improve design efficiency and quality.

The proposed KDT-SD framework can provide efficient design of AAL and evaluate the design performance in advance so that the feasibility of design scheme can be improved as much as possible.

Guidelines for the design of knowledge-based e-learning usability systems are absent from the current recognized set of usability design heuristics and from an established evaluation methodology of e-learning system developments. Such systems can help Web designers and instructional designers design for different user needs and decide which properties are of a higher priority, thus meriting more design and development efforts. The authors aim to help students develop higher-order thinking skills, such as application, evaluation and syntheses of knowledge.

The authors applied Merrill ' s first principles of instruction and usability properties as pedagogical and usability design guidelines, knowledge management (KM) and hierarchical task analysis as methodological knowledge bases. The authors proposed a KM e-learning usability framework which frames our mapping of Web usability attributes to e-learning usability properties. The authors aim to investigate whether adopting Merrill ' s first principles of instruction and usability properties as knowledge-based guidelines/design factors would help learners develop higher-order thinking skills and whether this design would result in positive technology acceptance. The authors also developed a method matrix to map the selected methods of cognitive engineering to its potential uses in the KM e-learning usability framework of this paper and mapped e-learning usability tools with components in the KM e-learning usability system.

Findings indicated that our design effectively helped learners to demonstrate higher-order thinking skills and positive technology acceptance, promising indications toward the design and development of knowledge-based usability frameworks and systems.

The sample size of this paper is small. Hence, conclusions are not generalizable at this moment.

The authors’ contributions are twofold: First, the authors proposed a KM e-learning usability framework, which frames the mapping of KM processes to e-learning principles and usability properties. Second, the authors proposed a method matrix which maps the selected methods of cognitive engineering to its potential uses in their KM e-learning usability framework. Based on these mappings and focusing on the usability properties navigation and learning support, the authors used ICT/Web2.0 tools to present/visualize information more clearly and more sensibly/manageably to students, to help trigger new knowledge and develop higher-order thinking skills, such as application, evaluation and syntheses of knowledge and articulate information from different perspectives throughout the KM life cycle.

The building industry, through its structure and its mandate, faces endemic information problems; expert systems are expected to impact positively. Expert systems are suited to situations of uncertainty; knowledge and reasoning are separated, allowing easier updating. Knowledge acquisition from human experts is difficult and problems of information reliability arise, suggesting the scope for cooperation between knowledge engineers and documentalists familiar with the domain. In building, prevailing conditions seem to indicate the appropriateness of expert systems, particularly during the design phase; however, written documentation and general research results are rarely consulted. This highlights the need for an information ‘refining’ stage between production and use. It is easier to set up expert systems for specialised sub‐domains; however, on‐going research is attempting to develop a comprehensive approach to project‐specific information that would be operational from initial design through to completed construction. Criteria for a comprehensive design information system can be listed.

The purpose of this paper is to develop a design strategy that investigates the systematic use of interdisciplinary knowledge through a transparent decision-making process. The study identifies relevant design parameters that should be considered in the development of this design strategy.

The empirical data were collected through observations of the design process of two new sport facilities, meetings with sport, well-being and aging experts and through semi-structured interviews with end-users. The development of the proposed design strategy is based on a methodology with elements from “Knowledge to Action (KTA),” “Action research” and a “List of value concepts.” The rigid timetable guaranteed systematic progress, where both knowledge from the end-users and experts were incorporated throughout the decision-making process.

The two case studies documented results involving end-users and experts in a systematic way. In conclusion, it was apparent that the use of interdisciplinary collaboration informed the design outcome.

Based on the two cases, the following advice can be given to the architectural profession: architects should use the KTA model or similar in order to target the search for relevant interdisciplinary knowledge and ensure that relevant evidence is involved in the design process of upcoming projects regarding sport and recreation. Architects should make the design process transparent so that one can see which design decisions have been made through the design process. This must be done to ensure that there is greater coherence between vision and practice.

The study showed how architects could import knowledge, skills and values from other disciplines such as environmental psychology and active living research to improve the decision-making process of future sport and recreation projects. It was also clear that this design decision process could be made more transparent in the effort to allow the various stakeholders to take ownership of the resulting design outcomes.

The purpose of this study is to explore an ontology of designer-user interaction with a knowledge management foundation. To address this research gap, the authors ask the following research question: what types of knowledge on designer-user interactions are associated with design function and approach in creating effective design outcomes in a collaborative design process?

Based on ontology of a knowledge management foundation and 99 design projects, the authors conceptualized the ontology of designer-user interaction, which considers design role, function, approach and outcome as a knowledge of designer-user interaction in the design process.

Based on this analysis, the authors theorize an ontology of designer-user interactions with five dimensions: participant, role, function, design approach and design outcome. Also, this study presents a case study of how this ontology could be applied into the actual projects.

In this study, the authors explore an ontology of designer-user interaction with a knowledge management foundation, because previous interdisciplinary design studies have not formalized the types of designer-user interaction. To address this research gap, the authors ask the following research question: What types of knowledge on designer-user interactions are associated with design function and approach in creating effective design outcomes in a collaborative design process?