校際選修

115-1 選課時程

進行中

  • 初選第一階段 6/15/2026
  • 初選第二階段 6/22/2026
  • 校際選修 8/24/2026
  • 初選第三階段 8/31/2026
  • 開學後加退選 9/7/2026
  • 逾期加退選 9/21/2026
選課資源

人類與人工智能互動

Human-AI Interaction

學期
113-2
學分
3 學分
當期課號
537812
永久課號
MGMT30091
開課單位
科技管理研究所
授課教師
陳姵樺
校區
光復
類別
選修
上課時間表
週五
N
12:20–13:10
人類與人工智能互動
A701
3 節連堂
5
13:20–14:10
6
14:20–15:10

* 根據陽明交大上課時間表所列

概述

The course will cover various research topics related to Human-AI Interaction. These topics may include aspects like human factors, guidelines for designing human-AI interactions, AI user interface design, real-world Human-AI collaboration scenarios, and challenges in using AI, such as explainability and fairness. The primary goal of the course is to explore and delve into the diverse research topics within Human-AI Interaction. By the end of the course, students should have a good understanding of the field and be well-equipped to tackle research projects or further studies in this area. Instead of formal lectures, the course seems to prioritize discussion and active participation. Students will be given reading assignments related to the topics, and they are expected to read and prepare these materials for discussion during class. The course will culminate in a final research project proposal. This suggests that students will have the opportunity to apply their knowledge and explore a specific research question or area within the field of Human-AI Interaction.

先修科目

None. You do not need to have a strong Machine learning or Artificial Intelligence background to take this class. The course encourages students who are interested in pursuing research or writing a thesis related to Human-AI Interaction to take the course.

教學方式

1. 為了瞭解修課同學的背景,以增進課程教學需求,請欲修課同學完成此份問卷,作為教學上的參考。 請務必使用NYCU的電子郵件才能開啟並填寫此份問卷。請於2/22第一節課開始前完成,未能如期完成此份問卷之同學(加退選結束前之週五早上八點),將會協助主動退選此課程。 問卷連結(2025已更新): https://forms.gle/sofo34dAUFrtPMmJA 2. 課程連結 (注意:2/21 上課時間從下午1:00開始),請務必使用NYCU帳號登入: 本課程上課期間請全程開視訊,以增進互動。 課程連結:HAI課程 2月 21日 (星期五) · 下午12:30 - 3:10 時區:Asia/Taipei Google Meet 會議參加資訊 視訊通話連結:https://meet.google.com/hnq-mzir-ehb 或撥打以下電話號碼:‪(US) +1 307-312-0396‬ PIN 碼:‪193 416 926‬# 更多電話號碼:https://tel.meet/hnq-mzir-ehb?pin=7672507628584

評分方式

1. Homework and Assignments: Article presentation and discussion. 20% class participation and discussion 15%, article summaries 25%, final proposal 40% 2. Exams and Quizzes: None

週次計畫
週次主題
第 1 週Introduction to Human and AI
第 2 週Holiday
第 3 週Human Factors in AI
第 4 週Heuristics and Bias
第 5 週Guidelines for Human-AI Interaction
第 6 週Human-AI User Interface Design
第 7 週Spring Break
第 8 週Human-AI Performance measurement
第 9 週Final report topics preparation
第 10 週Explainable AI (XAI)
第 11 週AI Fairness
第 12 週Human-AI collaboration in specialized domains
第 13 週Human-AI collaboration in specialized domains
第 14 週Human-AI collaboration in specialized domains
第 15 週Holiday
第 16 週Proposal Presentation
教科書

Shneiderman, B. (2022). Human-Centered AI. Oxford University Press. 洪錦魁(2023)AI和ChatGPT人類和機器共生的未來 出版社:智深數位 Dix, A., Finlay, J. E., et al. (2004). Human-Computer Interaction., 3rd edition. Pearson. Other required readings其他指定閱讀期刊文章及參考資料 Norman, D. A. (2013). The design of everyday things. MIT Press.

Office Hours
時間
By appointment
聯絡方式
paulachen@nycu.edu.tw