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研究生: 張鈞安
Chang, Chun-An
論文名稱: 探討不同視覺類比策略對創造力之影響
Discuss the Impact of Different Visual Analogy Strategies on Creativity
指導教授: 何俊亨
Ho, Chun-Heng
學位類別: 碩士
Master
系所名稱: 規劃與設計學院 - 工業設計學系
Department of Industrial Design
論文出版年: 2024
畢業學年度: 112
語文別: 英文
論文頁數: 196
中文關鍵詞: 視覺類比類比設計創意與創造力設計教育設計認知
外文關鍵詞: Visual Analogy, Analogical Design, Creativity, Design Education, Design Cognition
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  • 本研究的核心目標為探討不同設計經驗學生在使用視覺類比時的策略,以視覺 類比刺激作為創意發展中的參考物,捕捉學生如何使用類比以及思考模式,並且分 析個別產出的創意度。因為許多認知研究表明設計師通常以視覺化的方式進行思考, 並且經常尋找範例來獲取靈感,加上使用視覺類比可提高設計質量,這些跡象表明 視覺類比使用並不是偶然發生,而是必然的結果。然而,有研究表明使用圖像進行 類比發想時也存在著一些風險,類比刺激可能成為激發靈感的墊腳石,也可能引發 固定效應,成為創意的絆腳石。因此示例可能同時存在消極與積極的影響,究竟圖 像刺激是如何影響創意構思?加上現今「因材施教」已成為未來教育領域的顯學, 設計教育也必須依照學習者的個人特質進行適當的類比刺激,進而有效激發學生之 設計構思靈感,並且提高設計創意中的數量、新穎性、實用性等評量指標,本研究 之結果將幫助師生找尋適切的設計創意構思之教學模式。
    在本研究方法中,邀請 12 位就讀工業設計系之學生參與繪圖實驗,其中 6 位新 手設計師(大一)而 6 位是中級設計師(大四),透過指定的設計題目促使學習者 展現在思考問題時的解決過程策略,並且以放聲思考(thinking aloud)及回溯訪談 (retrospective interview)的方式捕捉概念生成的過程與細節。在繪圖任務結束後, 將各組別之草圖讓專家評委進行創意評分,其中本研究關注創造力中的新穎性 (novelty)、實用性(practical)及數量(quantity),藉由不同的創造力維度評分 結果與發展策略互相討論,以此探討不同設計經驗學生的創造力與策略之間的關聯。
    本研究結果除了以質性方法探討經驗、示例、創造力三者之關聯外,同時藉由 量化方法(卡方檢定)將創造力得分與設計經驗高低、示例距離交叉比較,即使 Pearson 積差相關係數顯示此三者之間並不存在相關性,然而深入挖掘個人的發展策 略後,著實發現受測者彼此間具有極大差異的發展模式,透過歸納列舉特定經驗受 到特定示例刺激時的典型策略,確實發現創造力得分極高與極低的學生展現獨特的 行為模式。以高度創造力的策略發展為例,必須將眾多設計問題以「單一解決方案」為目標,並且在過程中傾向以「重建草圖」的方式持續優化先前的概念,除此之外, 問題與解決方案會共同發展、進化,作為後續發展概念的參考來源。
    從編碼結果的證據發現,設計經驗差異反映在視覺相似性步驟中,歸因於不同 程度的知識差異,使得操作與程序性知識、概念知識、分析問題知識三者的連結性 有所不同,最直接影響草圖(概念)之間彼此的共用性、連結性,間接導致他們會 以不同的策略面對問題與生成解決方案。而示例距離遠近的作用有兩個顯著的證據, 第一,遠距離示例促使個人用更長路徑與更多步驟去解決問題,並且發展更多的草 圖數量;第二,近距離示例是現成的良好解決方案,因此促使個人用更簡短的相似 性步驟進行類比,並且傾向以外觀相似性做為主要類比模式。經過本研究討論的結 果使設計創造力的來源更加清晰,這些特定策略模式與設計經驗、示例距離之關聯 能幫助建立設計教育實務中的指導方針,目的是為了根據不同經驗學習者找出適合 的案例刺激,藉此提升設計創造力的核心價值。

    The core objective of this study is to explore the strategies employed by students with varying levels of design experience when using visual analogies. By using visual analogy stimuli as references in the creative development process, the study aims to capture how students use analogies and their thought patterns, and to analyze the creativity of their outputs. Cognitive research suggests that designers often think visually and frequently seek examples for inspiration. The use of visual analogies has been shown to improve design quality, indicating that the use of analogies is not a random occurrence but a deliberate outcome. However, studies also suggest that using images for analogical thinking can be risky; while analogy stimuli can serve as a stepping stone to inspiration, they can also lead to fixation effects, hindering creativity. Thus, examples may have both negative and positive impacts. How exactly do visual stimuli influence creative thinking? Moreover, the modern emphasis on "teaching according to aptitude" in education means that design education must also tailor analogy stimuli to the learner's individual characteristics. This approach can effectively stimulate students' design inspiration and improve key creativity metrics such as quantity, novelty, and practicality. The results of this study will help educators and students find appropriate teaching models for generating creative design ideas.
    In the research methodology, 12 students from the Industrial Design Department were invited to participate in a drawing experiment, including six novice designers (freshmen) and six intermediate designers (seniors). Through assigned design tasks, the study prompted learners to showcase their problem-solving strategies. The process of concept generation and its details were captured using think-aloud protocols and retrospective interviews. After the drawing tasks were completed, experts evaluated the creativity of the sketches, focusing on dimensions of creativity such as novelty, practicality, and quantity. The study discussed the relationship between creativity scores and development strategies to explore the connection between creativity and strategies in students with different levels of design experience.
    In addition to using qualitative methods to explore the relationship between experience, examples, and creativity, the study employed quantitative methods (chi-square tests) to cross-compare creativity scores with levels of design experience and example distance. Even though the Pearson correlation coefficient indicated no direct relationship among these three factors, further investigation into individual development strategies revealed significant differences in development patterns among participants. By summarizing the typical strategies used when individuals with specific experience levels are stimulated by specific examples, the study found that students with very high or very low creativity scores exhibited unique behavior patterns. For example, highly creative strategy development involves focusing on a "single solution" to many design problems and continuously refining previous concepts through "sketch reconstruction." Additionally, problems and solutions co-evolve, serving as references for subsequent concept development.
    Evidence from the coding results indicates that differences in design experience are reflected in the visual similarity steps. These differences are attributed to varying levels of knowledge, affecting the connectivity between operational and procedural knowledge, conceptual knowledge, and problem-analysis knowledge. This directly influences the shared and connectedness of sketches (concepts), indirectly leading to different strategies for addressing problems and generating solutions. There are two significant pieces of evidence regarding the effect of example distance. First, distant examples encourage individuals to solve problems using longer paths and more steps, leading to the development of more sketches. Second, close examples are often ready-made solutions, prompting individuals to use shorter similarity steps for analogy, with a tendency to rely on visual similarity as the primary analogy mode. The results of this study clarify the sources of design creativity, showing that these specific strategy patterns and their relationships with design experience and example distance can help establish guidelines for design education practices. The aim is to identify suitable case stimuli for learners with different experience levels, thereby enhancing the core value of design creativity.

    摘要 i SUMMARY iii 誌謝 v TABLE OF CONTENTS vi LIST OF TABLES x LIST OF FIGURES xi CHAPTER 1 INTRODUCTION 1 1.1 Research Background and Motivation 1 1.2 Research Objective 3 1.3 Research Goal 4 1.4 Research structure 6 CHAPTER 2 literature Review 7 2.1 Design experience 7 2.2 Design process and strategy 9 2.3 Visual analogy 10 2.3.1 Function and impact of analogy 10 2.3.2 Analogical distance and type 15 2.4 Creativity 22 2.4.1 Creative cognitive behavior 22 2.4.2 The process of developing ideas 24 2.4.3 Creative evaluation 27 CHAPTER 3 Research Methods 32 3.1 Experimental preparatory work 33 3.1.1 Set and design experimental topics 33 3.1.2 Select experimental subjects 33 3.1.3 Establishment of coding system 34 3.1.4 Experimental analog stimuli 38 3.2 During the experiment (during the experiment) 41 3.3 Experiment completion stage (after experiment) 42 3.3.1 The analysis of verbal data 42 3.3.2 Creative evaluation methods 43 CHAPTER 4 Research Results 46 4.1 Verbal Analysis of Drawing Experiment Results 46 4.1.1 Strategies of novice designers influenced by close analogy stimuli. 46 4.1.2 Strategies of intermediate designers influenced by close analogy stimuli.49 4.1.3 Strategies of novice designers influenced by distant analogy stimuli 52 4.1.4 Strategies of intermediate designers influenced by distant analogy stimuli. 54 4.2 Coding Statistical Results 57 4.3 The Impact of Example Distance and Design Experience on Creativity 62 4.4 Comprehensive Results of Multidimensional Creativity Scores and Coding 65 CHAPTER 5 Conclusion and Discussion 72 5.1 Strategic Differences Between Example Distance and Design Experience 72 5.2 The Relationship Between Creativity and Strategy 83 5.2.1 Creative Strategy Types 84 5.2.2 Lacking Creative Strategy Types 86 5.2.3 The Impact of Different Analogical Strategies on Creativity 86 5.3 Research Limitations 90 5.4 Future research 92 REFERENCES 93 Appendix A Verbal Analysis of Drawing Experiment for Subject A 103 A.1 Sketches and Oral Analysis Coding 103 A.2 Coding Results Summary and Statistics 105 Appendix B Verbal Analysis of Drawing Experiment for Subject B 108 B.1 Sketches and Oral Analysis Coding 108 B.2 Coding Results Summary and Statistics 110 Appendix C Verbal Analysis of Drawing Experiment for Subject C 112 C.1 Sketches and Oral Analysis Coding 112 C.2 Coding Results Summary and Statistics 115 Appendix D Verbal Analysis of Drawing Experiment for Subject D 117 D.1 Sketches and Oral Analysis Coding 117 D.2 Coding Results Summary and Statistics 120 Appendix E Verbal Analysis of Drawing Experiment for Subject E 123 E.1 Sketches and Oral Analysis Coding 123 E.2 Coding Results Summary and Statistics 125 Appendix F Verbal Analysis of Drawing Experiment for Subject F 127 F.1 Sketches and Oral Analysis Coding 127 F.2 Coding Results Summary and Statistics 129 Appendix G Verbal Analysis of Drawing Experiment for Subject G 132 G.1 Sketches and Oral Analysis Coding 132 G.2 Coding Results Summary and Statistics 134 Appendix H Verbal Analysis of Drawing Experiment for Subject H 136 H.1 Sketches and Oral Analysis Coding 136 H.2 Coding Results Summary and Statistics 143 Appendix I Verbal Analysis of Drawing Experiment for Subject I 146 I.1 Sketches and Oral Analysis Coding 146 I.2 Coding Results Summary and Statistics 149 Appendix J Verbal Analysis of Drawing Experiment for Subject J 151 J.1 Sketches and Oral Analysis Coding 151 J.2 Coding Results Summary and Statistics 153 Appendix K Verbal Analysis of Drawing Experiment for Subject K 156 K.1 Sketches and Oral Analysis Coding 156 K.2 Coding Results Summary and Statistics 162 Appendix L Verbal Analysis of Drawing Experiment for Subject L 165 L.1 Sketches and Oral Analysis Coding 165 L.2 Coding Results Summary and Statistics 168 Appendix M Source Data Compilation for Examples 171 Appendix N Ask Description and Experiment Instructions 180 Appendix O Informed Consent Form for Research Participation 181

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