Google 於 4 月 10 日透過 Gemini 官方 X 帳號宣布，Gemini 現已能將用戶提出的問題與複雜概念，即時轉換為可自訂的互動式視覺化圖表，直接嵌入對話介面中。用戶可以調整變數、旋轉 3D 模型並探索數據，為學習與研究帶來更沉浸式的體驗。
功能亮點：即時生成互動式圖表與 3D 模型
根據 Gemini 官方發布的展示影片，這項新功能讓 AI 對話不再局限於純文字回覆。當用戶提出涉及空間結構、數據分布或複雜系統的問題時，Gemini 能自動生成互動式視覺化內容，嵌入在對話訊息流中。
具體而言，新功能支援三大互動操作：首先，用戶可以調整變數參數，即時觀察視覺化圖表的變化，例如改變物理模型中的角度或速度參數；其次，支援 3D 模型旋轉與縮放，讓用戶從多個角度審視分子結構、地形模型或建築設計；第三，提供數據探索功能，用戶可以在圖表上互動操作，深入查看特定數據點的詳細資訊。
Gemini 新增互動式視覺化功能，可旋轉 3D 模型並調整變數（圖片來源：Google） 應用場景：學習複雜概念、數據分析與科學探索
這項功能的應用範圍相當廣泛。在教育與學習場景中，學生可以要求 Gemini 展示 DNA 雙螺旋結構的 3D 模型，透過旋轉與縮放深入理解分子結構；在數據分析場景中，研究人員可以將複雜的數據集轉化為互動式圖表，直覺地發現數據中的趨勢與異常值。
對於科學探索而言，這項功能更具突破意義。過去，用戶只能透過 Gemini 取得文字描述，現在則能直接操作視覺化模型，例如觀察地球表面的衛星影像或探索太陽系的行星軌道。這種從「閱讀」到「互動」的轉變，大幅提升了 AI 作為學習與研究工具的實用性。
與 NotebookLM 整合的連動效應：Google 打造完整 AI 知識工作流
值得注意的是，Google 在同一週內接連發布了兩項重大更新。除了 Gemini 的互動式視覺化功能外，NotebookLM 也在前一天宣布正式整合進 Gemini App，實現筆記本與 AI 對話的雙向打通。
兩項更新疊加來看，Google 正在加速打造一個完整的 AI 知識工作流程：用戶可以在 NotebookLM 中整理研究資料，透過 Gemini 進行深度對話分析，再利用互動式視覺化將抽象概念具象化。整個流程從資料收集、分析到視覺化呈現，形成了一條無縫銜接的知識生產鏈。
這也反映出 Google 在 AI 產品策略上的轉向——從單一工具的功能競爭，轉向構建互相串接的 AI 生態系統，以整體體驗的優勢與 OpenAI、Microsoft 等競爭對手形成差異化。
這篇文章 Gemini 新增互動式視覺化功能，支援 3D 模型旋轉與數據探索 最早出現於 鏈新聞 ABMedia。
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