查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

114-1 352129 智慧人機互動 1 3.0 3 ★ 韓秉軒互動三 26 0 排先鋒PBL教室,日碩/互動三合開,限30人修,需自備筆電

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
114-1	352129	智慧人機互動	1	3.0	3	★	韓秉軒	互動三	26	0	排先鋒PBL教室,日碩/互動三合開,限30人修,需自備筆電

教學大綱與進度：

教師姓名韓秉軒　教師諮商時間(Office Hours)

Email robert19881004@gmail.com

最後更新時間 2025-05-20 13:37:42

課程大綱隨著生成式AI與大型語言模型迅速融入設計流程與數位產品開發，互動設計者需具備整合AI技術與人機介面設計的跨域素養。本課程旨在探討人工智慧技術於人機互動設計中的應用，培養學生設計與開發智慧互動系統的核心能力。課程內容涵蓋人機互動及互動設計之基本概念、語意理解與回應機制、以及AI驅動之使用者體驗創新。教學上將透過講述法和工作坊建立基礎觀念，搭配上機實作強化技術操作能力，並以專題導向學習形式，引導學生完成從構思到原型開發之完整設計流程。 As generative AI and large language models (LLMs) reshape design processes, interaction designers must integrate AI technologies with human-computer interface design to enhance the user experience. This course explores the application of AI in human-computer interaction (HCI), focusing on essential skills for developing intelligent interactive systems. Topics include HCI fundamentals, semantic understanding and response mechanisms, and AI-driven innovations in user experience. Lectures build theoretical foundations, hands-on practice strengthens technical skills, and project-based learning guides students from ideation to prototyping.

課程進度 Introduction - Human-AI Interaction Human-Computer Interaction (Input-to-Output) Artificial Intelligence and Its Application Human-AI Dialogue Human Factors in Human-AI Interaction Data-to-Context Interaction with Large Multimodal Models (LMM) Midterm Report and Presentation Interacting with the Virtual Human Heuristic Evaluation for AI Interaction Final Project Proposal Application with Model Context Protocol (MCP) Human-AI Co-Creation Invited talk by guest speaker Final Project Presentation Final Project Demonstration (12/27, Whole Day) Final Project Demonstration (元旦放假) (12/27, Whole Day) Final Project Demonstration (12/27, Whole Day)

評量方式與標準 Homework 30% Midterm Report and Presentation 20% Final Project Proposal 10% Final Project Presentation 20% Final Project Demonstration 20%

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：否
自編教材 / Use of self-made materials

課程諮詢管道 Discord Channel

延伸教學與資源

課程對應SDGs指標無（None）

課程是否導入AI ● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process）
● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
● 使用生成式AI進行課堂即時互動（Use generative AI for real-time classroom interaction）
● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
● 深入探討AI的原理與應用（Explore the principles and applications of AI in depth）

備註

教師姓名	韓秉軒　教師諮商時間(Office Hours)
Email	robert19881004@gmail.com
最後更新時間	2025-05-20 13:37:42
課程大綱	隨著生成式AI與大型語言模型迅速融入設計流程與數位產品開發，互動設計者需具備整合AI技術與人機介面設計的跨域素養。本課程旨在探討人工智慧技術於人機互動設計中的應用，培養學生設計與開發智慧互動系統的核心能力。課程內容涵蓋人機互動及互動設計之基本概念、語意理解與回應機制、以及AI驅動之使用者體驗創新。教學上將透過講述法和工作坊建立基礎觀念，搭配上機實作強化技術操作能力，並以專題導向學習形式，引導學生完成從構思到原型開發之完整設計流程。 As generative AI and large language models (LLMs) reshape design processes, interaction designers must integrate AI technologies with human-computer interface design to enhance the user experience. This course explores the application of AI in human-computer interaction (HCI), focusing on essential skills for developing intelligent interactive systems. Topics include HCI fundamentals, semantic understanding and response mechanisms, and AI-driven innovations in user experience. Lectures build theoretical foundations, hands-on practice strengthens technical skills, and project-based learning guides students from ideation to prototyping.
課程進度	Introduction - Human-AI Interaction Human-Computer Interaction (Input-to-Output) Artificial Intelligence and Its Application Human-AI Dialogue Human Factors in Human-AI Interaction Data-to-Context Interaction with Large Multimodal Models (LMM) Midterm Report and Presentation Interacting with the Virtual Human Heuristic Evaluation for AI Interaction Final Project Proposal Application with Model Context Protocol (MCP) Human-AI Co-Creation Invited talk by guest speaker Final Project Presentation Final Project Demonstration (12/27, Whole Day) Final Project Demonstration (元旦放假) (12/27, Whole Day) Final Project Demonstration (12/27, Whole Day)
評量方式與標準	Homework 30% Midterm Report and Presentation 20% Final Project Proposal 10% Final Project Presentation 20% Final Project Demonstration 20%
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：否自編教材 / Use of self-made materials
課程諮詢管道	Discord Channel
延伸教學與資源
課程對應SDGs指標	無（None）
課程是否導入AI	● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 使用生成式AI進行課堂即時互動（Use generative AI for real-time classroom interaction） ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI） ● 深入探討AI的原理與應用（Explore the principles and applications of AI in depth）
備註