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審定:無
翻譯:李昂(Ang Lee)(簡介並寄信)
編輯:侯嘉玨(簡介並寄信)


智慧型環境感知勾勒出一個新的世界:人們被內嵌於日常用品中智慧、直觀的介面所環繞。透過個人化及相關的方式,這些介面能夠辨認並回應一個人的存在和其所作所為。

課程目標

  • 為此一人機互動的新觀點提供一個概括性之介紹。
  • 閱讀並討論與有關的領域中最具相關的主題:智慧型環境,智慧型網路物件,擴增實境與混成實境,無所不在的計算,侵入式計算,實體計算,智慧型介面和可穿戴的計算。
  • 焦點擺在認識可以使智慧型背景環境成真的科技,並學習應用及實驗。亦會稍微觸及社會文化的影響的議題。
  • 在此領域中提出新點子,開創新計畫。

要求

  • 學生們必須參與廣泛的文獻研究及討論。
    • 在每次上課之前閱讀指定的閱讀文件並為討論準備問題和有趣的觀點。
    • 閱讀並在課堂上和報告三篇左右的論文(自第四堂課起)
    • 撰寫一短篇的「場景」論文(在第六堂課之前)
    • 提供其他相關的論文供大家閱讀。
    • 提出值得一看實驗或是科技和大家分享。

  • 學生們必須設計並實作一個此領域中原創的計畫,用三頁長的論文敘述之,並在課堂上報告(第十三堂課)。
  • 本課程僅限十八個根據背景及興趣篩選過的研究所學生修習。請在第一堂課一天之內填寫申請表。錄取與否會在第一堂課後兩天通知。

Ambient Intelligence envisions a world where people are surrounded by intelligent and intuitive interfaces embedded in the everyday objects around them. These interfaces recognize and respond to the presence and behavior of an individual in a personalized and relevant way.

Goals of this Course

  • Provide an overview of this new vision for HCI.
  • Read and discuss the most relevant articles in related areas: smart environments, smart networked objects, augmented and mixed realities, ubiquitous computing, pervasive computing, tangible computing, intelligent interfaces and wearable computing.
  • Focus on understanding enabling technologies and studying applications and experiments. To a lesser extend address the socio-cultural impact.
  • Come up with new ideas, start innovative projects in this area.

Requirements

  • Students are required to participate extensively in literature research and discussions:
    • Read required readings ahead of class and prepare questions and interesting points for discussion.
    • Review and present +- 3 papers in class (from session 4 on).
    • Write 1 short "scenario(s)" paper (by session 6).
    • Suggest additional papers to read.
    • Suggest experiments and technologies to look at.

  • Students are required to design and implement an original project in this area and describe their project in a 3-page paper as well as make a presentation to the class (session 13).
  • Limited to 18 graduate students based on their interests and backgrounds. Fill out an application by a day after session 1 at the latest. Notification of acceptance by two days after session 1.