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

115-1 366974 多感官回饋技術應用與設計 1 3.0 3 ★ 韓秉軒設計學院(大) 0 0 　

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
115-1	366974	多感官回饋技術應用與設計	1	3.0	3	★	韓秉軒	設計學院(大)	0	0

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 2026-06-05 16:18:53

課程大綱本課程主要的目標為從應用與設計的角度,帶領同學進行多感官回饋技術的實作及實驗。從實作及實驗中學生將了解不同回饋技術在應用面上的可能性及其設計考量,並學習人機互動系統的啟發式評估、沉浸式量表、半結構式訪談,從而剖析及理解人機互動系統的表現(程式語言:C++)。此外本課程將以小組實習方式來進行,期望藉由合作學習和雛型製作來強化學生跨領域提案之創新能力。 The main goal of this course is to guide students to implement and experiment with multisensory feedback technologies from an application and design perspective. Through hands-on exercises and experiments, students will understand the capabilities of different feedback technologies in terms of application and design considerations, and learn heuristic evaluation, immersive scale, and semi-structured interviews of human-computer interaction systems to analyze and understand the performance of human-computer interaction systems (programming language: C++). In addition, this course will take the form of group exercises in the innovative ability to strengthen students' cross-field proposals through cooperative learning and prototyping skill.

課程進度 Introduction - Multisensory Technology Off-campus Industry Visit (9/22) Mid-Autumn Festival Exploring Related Works National Day Understanding the Technique (Trend, Form and Function) Exploring Design Space & Design Consideration Brainstorming Novel Interactive Technique Midterm Report and Presentation Rapidly Prototyping & Representative Image Final Project Proposal Expert Sharing (CHI) ＆ Heuristic Evaluation ACM SIGGRAPH ASIA Broadcasting Final Project Presentation (Virtual) Expert Sharing (UIST) & Discussion with Expert Constitution Day New Year’s Day Final Project Demonstration

評量方式與標準 Homework 21% Midterm Report and Presentation 30% Final Project Proposal 13% Final Project Presentation 13% Final Project Demonstration 13% Performance in class 10%

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
Use of self-made materials

課程諮詢管道 Discord

延伸教學與資源 ● 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.

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）

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	2026-06-05 16:18:53
課程大綱	本課程主要的目標為從應用與設計的角度,帶領同學進行多感官回饋技術的實作及實驗。從實作及實驗中學生將了解不同回饋技術在應用面上的可能性及其設計考量,並學習人機互動系統的啟發式評估、沉浸式量表、半結構式訪談,從而剖析及理解人機互動系統的表現(程式語言:C++)。此外本課程將以小組實習方式來進行,期望藉由合作學習和雛型製作來強化學生跨領域提案之創新能力。 The main goal of this course is to guide students to implement and experiment with multisensory feedback technologies from an application and design perspective. Through hands-on exercises and experiments, students will understand the capabilities of different feedback technologies in terms of application and design considerations, and learn heuristic evaluation, immersive scale, and semi-structured interviews of human-computer interaction systems to analyze and understand the performance of human-computer interaction systems (programming language: C++). In addition, this course will take the form of group exercises in the innovative ability to strengthen students' cross-field proposals through cooperative learning and prototyping skill.
課程進度	Introduction - Multisensory Technology Off-campus Industry Visit (9/22) Mid-Autumn Festival Exploring Related Works National Day Understanding the Technique (Trend, Form and Function) Exploring Design Space & Design Consideration Brainstorming Novel Interactive Technique Midterm Report and Presentation Rapidly Prototyping & Representative Image Final Project Proposal Expert Sharing (CHI) ＆ Heuristic Evaluation ACM SIGGRAPH ASIA Broadcasting Final Project Presentation (Virtual) Expert Sharing (UIST) & Discussion with Expert Constitution Day New Year’s Day Final Project Demonstration
評量方式與標準	Homework 21% Midterm Report and Presentation 30% Final Project Proposal 13% Final Project Presentation 13% Final Project Demonstration 13% Performance in class 10%
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 Use of self-made materials
課程諮詢管道	Discord
延伸教學與資源	● 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.
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）
備註