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| Title: | 從使用者需求到卡片分類 : 使用 AI 作為 UX 設計工具
From User Needs to Card Sorting: Leveraging AI as a UX Design Tool |
| Authors: | 李宣諭
Lee, Hsuan-Yu |
| Contributors: | 陳宜秀
蔡炎龍
Chen, Yi-Hsiu
Tsai, Yen-Lung
李宣諭
Lee, Hsuan-Yu |
| Keywords: | 使用者經驗設計
人機互動
卡片分類
使用者需求
人工智慧
使用者經驗
設計工具
ChatGPT
User experience
HCI
Card Sorting
User Needs
Artificial Intelligence
UX Design
Design Tools |
| Date: | 2024 |
| Issue Date: | 2024-11-01 11:38:21 (UTC+8) |
| Abstract: | 本研究探討了在使用者經驗設計過程中，如何有效地將人工智慧應用於改善現有的設計流程。傳統的設計過程包括使用者資料收集、分析洞見和設計階段，流程繁瑣且耗時，隨著資料規模的擴大，科技的介入顯得尤為重要。目前，人工智慧已經在使用者介面生成領域得到應用，能夠根據輸入內容生成相應的介面。然而，這類技術仍然存在許多限制，包括生成介面的數量有限、不同主題的生成結果過於相似，且未能根據使用者的具體輸入內容生成相應的介面設計。因此，若要有效改善這些問題，需要在介面生成的前一階段，即使用者經驗設計階段，進行更全面的梳理與優化。本研究的目的在開發一個可以應用於使用者經驗設計階段的工具。期望可以彌補其中的不足，通過開發一個基於人工智慧的工具，來加速使用者經驗設計流程，並奠定介面生成的基礎。
研究的目標包括：將使用者經驗設計活動標準化為一個有系統的流程，並開發一個能夠以使用者輸入的需求文字進行作業分析及卡片分類的工具，進而提升設計效率、減少人力成本、促進創造性工作領域的發展。希望能夠發展一種工具來加速分析流程，在未來更是期望可以在介面生成過程中直接應用，使生成的介面更具體地符合使用者需求。經研究結果發現，將工具結果和設計師的結果進行一致性比較，並根據一致性結果進行工具的迭代，最終工具和設計師的一致性結果有了顯著的提升。最後，雖然本研究僅探索了使用者經驗設計的部分階段，但其成果將為未來人工智慧與使用者經驗設計的結合奠定堅實基礎，並促進真正符合使用者需求的人工智慧工具的發展。
This study explores the practical application of artificial intelligence (AI) in the user experience (UX) design process to improve existing design workflows. Traditional design processes, which include user data collection, insight analysis, and the design phase, are often complex and time-consuming. As the scale of data grows, technology integration becomes increasingly crucial. AI has been applied in the user interface (UI) generation field, enabling the creation of interfaces based on input content. However, these technologies still face many limitations, including a restricted number of generated interfaces, overly similar results across different themes, and a lack of adaptation to the specific input provided by users. Therefore, to effectively address these issues, it is necessary to conduct more comprehensive refinement and optimization in the stage preceding interface generation—namely, the UX design stage.
This study aims to fill the gaps in the current application of AI in UX design. The goal is to overcome the shortcomings by developing an AI-based tool that accelerates the UX design process and lays the foundation for interface generation. The research objectives include transforming UX design activities into a systematic process and developing a tool capable of performing task analysis and card sorting based on user input text. This approach aims to enhance design efficiency, reduce labor costs, and foster the development of creative work. The ultimate hope is to create a tool that can accelerate the analysis process and, in the future, be directly applied in the interface generation process to produce interfaces that more precisely meet user needs. The study’s findings show that by comparing the results of the tool with those of designers and iterating on the tool based on consistency outcomes, the final consistency between the tool and designers’ results has significantly improved. Although this study only explores part of the UX design process, its achievements lay a solid foundation for the future integration of AI and UX design, promoting the development of AI tools that truly align with user needs. |
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| Description: | 碩士
國立政治大學
數位內容碩士學位學程
111462016 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0111462016 |
| Data Type: | thesis |
| Appears in Collections: | [數位內容碩士學位學程] 學位論文
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