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元宇宙未來圖景體系設計
林苗苗, 項建恒
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元宇宙未來圖景體系設計
Future Picture System Design of Metaverse
在當前元宇宙大熱的背景下，不同的學科對元宇宙都有各自領域的解釋，但是幷沒有較爲準確的元宇宙模型形態，爲了對未來元宇宙特徵進行預測，使用中國知網CNKI和Web of Science資料庫對元宇宙相關文獻進行檢索，將資料庫中較為的權威元宇宙研究通過VOS視覺化圖譜軟體進行高頻詞彙共現。其次，通過這些共現詞彙尋找到當前較為集中的元宇宙世界人的發展、教育元宇宙、元宇宙技術基礎、元宇宙產業、元宇宙社會這五個研究方向。再將這些研究方向置入政治、經濟、文化、地理、社會（區）五個維度當中逐層分解，推演出未來元宇宙的基礎特徵，最終通過資訊視覺化的方式設計出未來元宇宙的基礎模型。文章通過大量的研究獲得其中最主要的共現詞、最主要的研究方向與最主要的特徵，在這個過程中，將非主要的數據剔除，保留下高頻的、被普遍認可的領域，這可能就是未來的元宇宙特徵。
In the context of the current Metaverse, different disciplines have their own interpretations of the Metaverse, but there is no relatively accurate Metaverse model form. In order to predict the characteristics of the Metaverse in the future, CNKI and Web of Science databases are used to search the literature related to the Metaverse. High frequency word co-occurrence was carried out by VOS visualization atlas software. Secondly, through these co-occurrence words, five research directions, namely, human development, education, technological foundation, industry and society of the Metaverse, are found. Then, these research directions are put into the five dimensions of politics, economy, culture, geography and society (region) layer by layer decomposition, deduce the basic characteristics of the future meta-universe, and finally design the basic model of the future Metaverse through information visualization. Through a large number of studies, this paper obtains the most important co-occurrence words, the most important research direction and the most important features. In this process, non-major data are removed and the high-frequency and universally recognized fields are retained, which may be the future features of the Metaverse.
資訊視覺化設計 / 元宇宙 / 視覺化分析 {{custom_keyword}} /
Information visualization design / Metaverse / Visual analysis {{custom_keyword}} /
表1 元宇宙圖景特徵 |
| 政治 | 經濟 | 文化 | 地理 | 社會 | |
|---|---|---|---|---|---|
| 元宇宙社會 | 全息孿生 | 消費重塑 | 倫理重構 | 突破時空 | 平行社會 |
| 元宇宙產業 | 精准監測 | 數位貨幣 | 數字版權 | 彈性擴展 | AI供給 |
| 元宇宙技術基礎 | 治理精度 | 區塊鏈 | 跨文化 | 空間社交 | 數字基建 |
| 教育元宇宙 | 重塑思想 | 節約成本 | 沉浸式 | 聯接場景 | 多方互動 |
| 元宇宙世界人的發展 | 共融平等 | 角色重塑 | 認知賦能 | 尺度拉伸 | 自由人 |
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Metaverses embedded in our lives create virtual experiences inside of the physical world. Moving towards metaverses in aircraft maintenance, mixed reality (MR) creates enormous opportunities for the interaction with virtual airplanes (digital twin) that deliver a near-real experience, keeping physical distancing during pandemics. 3D twins of modern machines exported to MR can be easily manipulated, shared, and updated, which creates colossal benefits for aviation colleges who still exploit retired models for practicing. Therefore, we propose mixed reality education and training of aircraft maintenance for Boeing 737 in smart glasses, enhanced with a deep learning speech interaction module for trainee engineers to control virtual assets and workflow using speech commands, enabling them to operate with both hands. With the use of the convolutional neural network (CNN) architecture for audio features and learning and classification parts for commands and language identification, the speech module handles intermixed requests in English and Korean languages, giving corresponding feedback. Evaluation with test data showed high accuracy of prediction, having on average 95.7% and 99.6% on the F1-Score metric for command and language prediction, respectively. The proposed speech interaction module in the aircraft maintenance metaverse further improved education and training, giving intuitive and efficient control over the operation, enhancing interaction with virtual objects in mixed reality.
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