研究生: |
鄭宇婷 Yu-Ting Cheng |
---|---|
論文名稱: |
物識流:未來物件糸統的數據流設計 Awareness of Things: Designing Systems of Data-Enabled Objects |
指導教授: |
梁容輝
Rung-Huei Liang 陳玲鈴 Lin-Lin Chen |
口試委員: |
許永真
Jane Yung-Jen Hsu 陳建雄 Chien-Hsiung Chen Mathias Funk Mathias Funk |
學位類別: |
博士 Doctor |
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: | 111 |
語文別: | 英文 |
論文頁數: | 234 |
中文關鍵詞: | 物識流 、物聯網 、數據隱私 、數據語意 、群體智慧物件互動設計 、以物為中心設計 |
外文關鍵詞: | Awareness of Things, Internet of Things, Data Privacy, Data Semantics, Constellation Design, Object-Oriented Design Perspective |
相關次數: | 點閱:282 下載:10 |
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本研究提出「物識流」(AoT)設計願景,即提出未來設計師該以何種視角、方法去設計群體智慧物件間的數據分享與使用,方能使物件們能夠更加理解使用者相關的情境,同時分享與使用數據的過程能夠顧慮使用者的隱私。過去相關研究已提出「物聯網(IoT)」,作為一種以科技為主的願境,注重該如何替物件間建立穩定、有效的網路連線,然而單純的網路連線能夠建構數據分享的基礎,但是並不足以讓物件們能夠顧及使用者隱私地分享與使用數據,因此本研究提出的「物識流(AoT)」即以物聯網為基底,增加設計觀點去強化物件間數據分享的語意與隱私設計。本研究使用「透過研究作設計」方法,透過設計實務去探索與反思物識流系統的設計方向。本論文呈現三大部分:一、本研究討論現有物聯網設計挑戰並提出物識流的設計願景,透過提出「物件意識」一詞,提供設計師對於數據的新設計方向,以物為中心的觀點設計物件的數據處理能力(例如搜集、偵測、詮釋)。二、本研究開發一系列的設計工具,協助設計師進行物識流相關系統設計,並從中分析未來設計方向。三、本研究回顧整體研究,分析與歸納提出物識流設計框架,該框架提供六個設計元素,推薦給未來設計師如何從單一物件的設計拓展至群體物件間的數據流設計。最後,本研究的貢獻為提出一種以物件為中心的設計方式,藉以設計物件間的數據語義,以實現有意義的群體智慧物件間的協作,以及顧及使用者隱私的數據搜集之互動設計。
This study presents the vision of Awareness of Things (AoT), which proposes a new perspective and approach for designers to design data sharing and usage among a group of smart objects in a way that enhances their understanding of user context and respects user privacy. While previous research has focused on the Internet of Things (IoT) as a technology-driven vision, emphasising the establishment of stable and efficient network connections among objects, the mere connectivity is not sufficient to address the issues of privacy in data sharing and usage. Therefore, the AoT design, built upon the IoT foundation, introduces a design perspective that enhances the semantic understanding of data sharing among objects while considering user privacy. The research methodology employed in this study is `Research through Design’, which involves practical design exploration and reflection on the design direction of AoT systems. The thesis is divided into three main parts: First, the study discusses the challenges of existing IoT design and proposes the design vision of AoT. By introducing the concept of `object awareness’, the study provides designers with a new design direction to enhance the data processing capabilities of objects (such as collection, detection, and interpretation) from an object-oriented perspective. Second, the study develops a series of design tools to assist designers in the design of AoT-related systems and analyse future design directions. Third, the study reviews the overall research and presents the AoT design framework, which consists of six design elements, guiding future designers on how to extend their design approach from individual object design to data flow design among a group of objects.
In conclusion, this study contributes by proposing an object-oriented design approach that enhances the semantic understanding of data among smart objects, enabling meaningful collaboration and interaction while respecting user privacy in data collection.
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