Journal of Integrated Design and Process Science

Different from traditional statistical analysis models which focus on the correlation between technical trends in quantity level, text analyzing is now a new approach to extract technological trend from text. Scientometric text mining is widely applied in analytical methods to figure the evolution process of patent and technology. This study is focused on patent documents to predict the future trend of solid material field. Term Frequency (TF) statistics, Word2Vec and t-SNE were adopted in comprehensive analytical methods to measure metrics of patent and reveal the technological development. For patent documents in No. 257 category of United States Patent and Trademark Office, title, abstract and claims from 2005 to 2012 were selected for text mining and analysis. The term frequency of those keywords is firstly counted by year, to extract the annual change of high-frequency keywords. Word2Vec can convert the text to word vectors in a vector space. To better visualize the results and make a relatively reliable prediction, t-SNE is used to reduce the dimension word vectors and scatter them in a twodimensional map. All these methods in the research are dedicated to present a clearer look at the evolving trend of patents in a field. The systematic analytical methods can be adapted in the analysis of other fields. What is represented in the results reveal the developing trend and the hotspots in process, thereby the future trend can be inferred based on the results. Such prediction can be an indicator or guidance in decision making of a certain field.

This article analyzes how creativity in the making of films and TV shows is constrained as a consequence of the shift to digital production technology, and the resulting change in work activities for different crafts involved in the postproduction process. We adapt the concept of creative spaces in order to describe these constraints, and we introduce the term audiovisual assemblies to facilitate the analysis of collaboration. We argue that this study is well-accomplished by analyzing collections of existing media productions. We identify two contradicting practices: first, the development of new conventions which reallocate roles and resources in the making of audiovisual assemblies; and second, the high rate and broad range of incremental technological change which demand unconventional, but creative, problem-solving practices from everyone involved. Examples are provided from an innovative Swedish TV production.

Theater is a form of communication, whereas knowledge management (KM) is a type of strategy. Knowledge management application in costume design is still at early stage in Asia. Through case study and content analysis, this paper probed into costume design management from the perspective of knowledge accumulation of costume design. Using costume design of a recent production of Shakespeare’s Measure for Measure as an example, this paper digitalized and organized the documents of text analysis, role analysis, character relationship chart, body measurement chart, and costume. It further analyzed the design knowledge generated in costume design in different phases, planed the business framework of knowledge management, and constructed modules of the costume design process. Through design creation, conceptual integration, design record, modification, and renewal, continuously accumulated knowledge is fed back to the knowledge system. This paper thus constructed a knowledge system of costume design.

As the nature of costume design is often perceptual, this paper developed the systematic method and procedure of carrying out costume design through the use of a computer design system database and digital calculation. Through design creation, conceptual integration, design record, modification and renewal, the knowledge is fed back to the knowledge system and continuously accumulates. Communicating the theory of knowledge management to costume design is a groundbreaking attempt in the theater field. Providing a working model from an analytic script to stage costume with a project example, this paper also verifies that KM = (P + K) ^S can and does improve work efficiency in the field of costume design.

Recently, design is supported by crowdsourcing. The vast knowledge generated and contributed by crowds enhances a wide exploration of design ideas. However, limited amount of information called ‘scarcity’, non-guaranteed quality of contributions, and similar contributions made by unspecified participant groups make it difficult to systematically analyze and reuse the design concepts. This paper presents a formal analysis method for design concepts generated by crowdsourcing design activities. To enable the formal design concept analysis, design feature taxonomy is first developed by considering crowdsourcing design environment. In this taxonomy, various design features and participant evaluation features are constructed. Galois lattices-based formal concept analysis is employed as a design concept analysis method. The pivot power case is used to show that the presented method is applicable to a practical crowdsourcing design environment. Finally, precision and recall tests are conducted through a focus group interview and the results from the design analysis without and with the participant evaluation are compared.