研究生: |
蔡宜瑾 Tsai, Yi-Jin |
---|---|
論文名稱: |
躍介物聯網互動創意問卷系統研究與資料再現應用 The Study and Application of Creative Survey and Data Representation in IoT Cross-Media System |
指導教授: |
許素朱
Hsu, Su-Chu |
口試委員: |
張志勇
Chang, Chih-Yung 王照明 Wang, Chao-Ming |
學位類別: |
碩士 Master |
系所名稱: |
電機資訊學院 - 資訊系統與應用研究所 Institute of Information Systems and Applications |
論文出版年: | 2021 |
畢業學年度: | 109 |
語文別: | 中文 |
論文頁數: | 55 |
中文關鍵詞: | 物聯網 、躍介物聯網系統 、可觸握式使用者介面 、線上問卷系統 、資料視覺化 、數位資料再現 |
外文關鍵詞: | Internet of Things, IoT Cross-Media System, Tangible User Interface, Online Survey System, Data Visualization, Digital Data Representation |
相關次數: | 點閱:2 下載:0 |
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FBI Lab於2020年11月在國立清華大學舉辦「2020印象清華—有A的STEM科普藝術節」,其中的「STEAM互動探索體驗館」展示了可被操作、被觀視、被探索的跨學科互動作品,為台灣的STEAM教育帶來新的啟示。而在STEAM互動探索體驗館中,我們開發出「躍介物聯網互動創意問卷系統(IoT Cross-Media & QA System)」,其架構在躍介物聯網系統的基礎之上,運用手機的可觸握特性實現遊戲般的「撈取題目」與「倒入結果」互動,並將系統中的數據作即時的資料視覺化,以數位資料再現的形式呈現。
躍介物聯網互動創意問卷系統配合STEAM互動探索體驗館內的展區配置、跨學科互動作品與主要受眾,規劃一系列的使用者操作流程、展場問卷與數位資料再現內容,讓來STEAM體驗館中的參與者除了對作品遊玩與探索外,也能使用本系統考驗對作品原理的理解、並給予作品的「有趣程度」及「學習效果」反饋,最後將作答結果〝倒入〞群眾藝術創作作品《為學習加點料》中,觀看自身數據對群體學習結果所造成的變化並成為作品的創作者之一。
本研究展示了「躍介物聯網互動創意問卷系統」與「以問卷回饋作數位資料再現」的實作與實際應用於展場場域中的研究成果與發現。我們打造物聯網環境下遊戲化的展館問卷與互動設計,並呈現〝群體〞且〝即時〞問卷結果,也將群體學習結果再現為「群眾藝術創作」,最後激發群體之間的激勵作用四個目標。這樣的研究與實踐在台灣展館是少見的。
The FBI Lab held the “Tsing Hua Effect 2020 - STEM with A Technology Art Festival” at National Tsing Hua University in November 2020. The STEAM interactive exploration hall has exhibited a series of interdisciplinary interactive artworks that can be viewed, manipulated, and explored, bringing new insights to STEAM education in Taiwan. At the STEAM interactive exploration hall, we have developed the “IoT Cross-Media & QA System”. Its architecture is supported by the IoT Cross-Media System. We used the tangible feature of mobile phones to perform the interaction of “scoop up questions” and “pour in answers”, visualized the real-time data in the system, and presented it in the form of digital data representation.
The IoT Cross-Media & QA System collaborates with the exhibition area configuration, the interdisciplinary interactive works, and the main audiences of the STEAM interactive exploration hall. We organized a series of user operating procedures, exhibition questionnaires, and digital data representation content to allow participants to manipulate and explore interactive artwork. Participants were also invited to test their understanding of these theories of the work of art and giving feedback on the “interesting level” and “learning effect” for each work by using the system. In addition, they could become one of the authors of the “mass artistic creation” by “pour in” their answer in the artwork “Add Some Material to Learning” and observed the influence of their data on the group learning results.
This research demonstrated the implementation and practical application of “IoT Cross-Media & QA System” and “Representation of Digital Data with Survey Feedback” in the exhibition arena. The results of the research are applied to the exhibition site and have achieved the gamification of the exhibition hall survey. It also presents the results of the participants' “groups” in real-time. Moreover, represents the learning outcomes as “mass artistic creation” and triggers the motivating effect between groups. Such research and practice at exhibition hall are rare in Taiwan.
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