研究生: |
蕭琇琳 Hsiu-Ling Hsiao |
---|---|
論文名稱: |
運用生成式 AI 工具輔助用戶體驗設計流程之研究 A Study on the Application of Generative AI Tools in Assisting the User Experience Design Process |
指導教授: |
唐玄輝
Hsien-Hui Tang |
口試委員: |
唐玄輝
陳書儀 陳文誌 |
學位類別: |
碩士 Master |
系所名稱: |
設計學院 - 設計系 Department of Design |
論文出版年: | 2023 |
畢業學年度: | 112 |
語文別: | 中文 |
論文頁數: | 137 |
中文關鍵詞: | 生成式 AI 、用戶體驗設計 、設計流程 |
外文關鍵詞: | Generative AI, User Experience, Design process |
相關次數: | 點閱:109 下載:23 |
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隨著人工智慧的興起,不僅改變了產品功能,更深刻地影響著人類與機器的互動模式。AI 技術在學界和業界也開始遵循以人為本的人工智慧原則 (Human-Centered AI),強調 AI 應該更加注重人的需求和價值 (Shneiderman, 2022),使得越來越多的 AI 產品能夠協助人們解決問題,這些趨勢使得設計師的角色和職責不斷演變和擴大,同時也對設計師的角色提出了新的挑戰。儘管設計師不太可能被 AI 完全取代,但與 AI 共同協作已成為必要的趨勢。
然而,目前生成式AI在用戶體驗設計的應用仍然處於探索階段,因此,本研究利用國泰世華 CUBE App 案例實踐生成式AI輔助用戶體驗的歷程,以探討生成式AI對用戶體驗的影響。為達本研究目的,有以下三項的研究目標(1)分析用戶體驗歷程中生成式 AI 輔助的效益與限制;(2)提出設計師使用生成式 AI 輔助設計流程的建議;(3)提出生成式 AI 工具的改善建議以更符合設計師的需求。
為了探究生成式 AI 對用戶體驗的影響,本研究以國泰世華銀行 CUBE App 為案例,並參考三鑽石設計流程 (Wang et al., 2022),將改善國泰世華 CUBE App 用戶體驗的設計過程分為問題解析、原型設計、設計驗證三階段,使用生成式 AI 工具輔助此用戶體驗設計流程,並以個案研究法分析過程中發生的設計歷程、決策與反思,持續觀察和改進研究過程,以確保研究的有效性和可靠性。
研究結果顯示,生成式AI在用戶體驗設計的應用中大幅提高了資料分析和設計概念具體化的效率,但設計師的專業能力對於篩選和改進 AI 生成的方案仍然至關重要。隨著科技的不斷進步,設計師需要適應新的工作模式,提升與 AI 互動的能力,並發展批判性思維和問題解決技能,以保持在不斷變化的行業中的競爭力。
Despite its emergent stage, Generative AI has already started to significantly influence the various aspects of user experience (UX) design, introducing challenges and opportunities for designers. This study employs the case of a mobile banking application by a Taiwanese bank to understand the design process of UX facilitated by Generative AI, aiming to evaluate the advantages and disadvantages of incorporating Generative AI into UX design processes. To achieve this research goal, three objectives are proposed: (1) Analyze the benefits and limitations of Generative AI assistance in the UX design process; (2) Provide recommendations for designers to incorporate Generative AI into the design process; (3) Suggest improvements for Generative AI tools to meet the needs of designers better. The research results show that Generative AI tools significantly reduce the time designers spend on context analysis and the integration of inspiration in the early stages of their projects, allowing for a greater emphasis on creative and strategic tasks. However, the specialized skills of designers remain crucial for improving AI-generated solutions. UX designers adept in strategic questioning and critical thinking demonstrate a significant advantage in working with Generative AI tools.
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