Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Fall Semester
Year 2026 364586 Human-AI Interaction 1 3.0 3 ★ Han Ping-Hsuan GIMD 0 0 互動三和互動所合開,排先鋒PBL教室,限25人修,自備筆電

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2026	364586	Human-AI Interaction	1	3.0	3	★	Han Ping-Hsuan	GIMD	0	0	互動三和互動所合開,排先鋒PBL教室,限25人修,自備筆電

Course Plan：

Instructor Han Ping-Hsuan　Office Hours

Email robert19881004@gmail.com

Last Updated 2026-05-24 16:15:36

Course Objective 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.

Course Schedule 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 Human-AI Co-Creation Human-AI Augmentation Invited talk by guest speaker Final Project Presentation Final Project Demonstration (12/26, Whole Day) Final Project Demonstration (元旦) (12/26, Whole Day) Final Project Demonstration (12/26, Whole Day)

Evaluation and grading policy Homework 30% Midterm Report and Presentation 20% Final Project Proposal 10% Final Project Presentation 20% Final Project Demonstration 20%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
自編教材

The access to curricular consultation Discord

Expanding teaching and resources ● 混成學習 (Blended Learning)
課程結合實體授課與線上學習（同步視訊／非同步活動）。
Combines face-to-face instruction with online learning (including synchronous video sessions or asynchronous activities).
● 參與式創新教學 (Participatory & Innovative Teaching)
強調學生參與與產出，導入翻轉、PBL/專題、設計思考或遊戲化等策略。
Emphasizes student engagement and outcomes by adopting strategies such as Flipped Classroom, PBL (Problem/Project- Based Learning), Design Thinking, or Gamification.
● 數位科技融入 (Digital Technology Integration)
運用生成式AI、VR/AR、IoT、IRS等新興科技輔助教學與評量。
Utilizes emerging technologies such as Generative AI, VR/AR, IoT, and IRS (Interactive Response Systems) to facilitate teaching and assessment.

The course corresponds to the SDGs SDG4：優質教育（Quality Education）

Does the course incorporate 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）

Note
　

Instructor	Han Ping-Hsuan　Office Hours
Email	robert19881004@gmail.com
Last Updated	2026-05-24 16:15:36
Course Objective	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.
Course Schedule	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 Human-AI Co-Creation Human-AI Augmentation Invited talk by guest speaker Final Project Presentation Final Project Demonstration (12/26, Whole Day) Final Project Demonstration (元旦) (12/26, Whole Day) Final Project Demonstration (12/26, Whole Day)
Evaluation and grading policy	Homework 30% Midterm Report and Presentation 20% Final Project Proposal 10% Final Project Presentation 20% Final Project Demonstration 20%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No 自編教材
The access to curricular consultation	Discord
Expanding teaching and resources	● 混成學習 (Blended Learning) 課程結合實體授課與線上學習（同步視訊／非同步活動）。 Combines face-to-face instruction with online learning (including synchronous video sessions or asynchronous activities). ● 參與式創新教學 (Participatory & Innovative Teaching) 強調學生參與與產出，導入翻轉、PBL/專題、設計思考或遊戲化等策略。 Emphasizes student engagement and outcomes by adopting strategies such as Flipped Classroom, PBL (Problem/Project- Based Learning), Design Thinking, or Gamification. ● 數位科技融入 (Digital Technology Integration) 運用生成式AI、VR/AR、IoT、IRS等新興科技輔助教學與評量。 Utilizes emerging technologies such as Generative AI, VR/AR, IoT, and IRS (Interactive Response Systems) to facilitate teaching and assessment.
The course corresponds to the SDGs	SDG4：優質教育（Quality Education）
Does the course incorporate 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）
Note