Realizing the Potential Effect of Interactable Concept Network for Idea Generation

被引:0
|
作者
Lin, Yi-Jing [1 ]
Hsu, Yen [1 ]
机构
[1] Tatung Univ, Grad Inst Design Sci, Taipei, Taiwan
关键词
Data-driven; Idea generation; Creativity; Semantic network database;
D O I
10.1007/978-3-031-06050-2_10
中图分类号
F [经济];
学科分类号
02 ;
摘要
Idea generation is the foundation of creativity and innovation, and learning various ideation methods, such as mind-map, scamper, etc. is a critical capability in a design-thinking course. With emerging technologies, many data-driven conceptual design tools exist to provide designers with external inspirational stimuli for ideation. Compared to traditional ideation methods, the data-driven conceptual tools are time-saving for gathering information, and labor-saving for generating numerous, various and creative ideas. Moreover, designers are able to avoid individually experiential limitation, which may cause the fixation of ideation. However, most data-driven conceptual tools are biased towards the industrial engineering field, and are too complicated to intuitively use for novice designers. Hence, this study established the user-friendly ideation tool named Interactable Concept Network (ICN) by integrating the mind-mapping method, semantic network database, and human cognitive process, additionally investigated its effects on novice designers learning of design-thinking courses. We assume that there is a potential effectiveness to assist and inspire novice designers to develop more creative concepts by applying ICN tool. With a pre-post-test design, a brief design course-long experiment as pre-test was then conducted with the mind-map method to evaluate the initial learning motivation and creativity. At this current study stage, the pre-test results revealed that the recognition and delivery errors caused by the handwritten and inaccurate description influenced the score of creativity.
引用
收藏
页码:137 / 147
页数:11
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