1. Understand human-centered design principles and explain how human needs, cognitive characteristics, behaviors, and contexts inform the design of interactive systems.

2. Investigate users and real-world contexts using appropriate qualitative and user-research methods, including interviews, observation, thinking-aloud protocols, stakeholder analysis, and personas.

3. Translate user insights into design requirements by identifying problems, stakeholders, interactions, user journeys, scenarios, and functional requirements.

4. Apply an iterative design process to move from problem discovery and definition to concept development, prototyping, evaluation, and refinement.

5. Design and evaluate interactive experiences by considering usefulness, usability, affect, and broader dimensions of user experience.

6. Explore emerging forms of human–AI interaction involving LLMs, AI agents, MCP, and Physical AI, and critically consider how these technologies can be incorporated into human-centered solutions.

7. Develop and communicate a working prototype that demonstrates a coherent connection among user research, design requirements, technological possibilities, and design decisions.

없음 No prerequisites are required to take the course

1) Chipchase, J., & Steinhardt, S. (2013). Hidden in plain sight: How to create extraordinary products for tomorrow's customers. HarperCollins Publishers.
2) Cooper, A., Reimann, R., & Cronin, D. (2007). About face 3: The essentials of interaction design. Indianapolis, IN: Wiley.
3) Lazar, J. Feng, J. H., & Hochheiser, H. (2010). Research methods in Human Computer Interaction. Wiley.
4) Love, S. (2005). Understanding mobile human-computer interaction. Butterworth-Heinemann
5) Smith, S. C. (2007). 소외된 90%를 위한 디자인 (Design for the Other 90%) http://www.designother90.org/ 참고
6) Smith, S. C. (2011). 소외된 90%와 함께하는 디자인: 도시편 (Design with the Other 90%) 

Discover: Weeks 1–3
Problem identification → Human/cognitive foundations → User research → LLM

Week 1: Course Introduction & Orientation
Week 2: Human-Centered Design & Understanding Users
Week 3: Agentic/Physical AI I: Large Language Models (LLMs) (Prof. Park)

Define: Weeks 4–6
User analysis → Contextualization → Personas → Interviews → AI Agents → Data collection

Week 4: User Analysis & Contextualization
Week 5: Agentic/Physical AI II: AI Agents (Prof. Park)
Week 6: Data Collection / User Research

Develop: Weeks 7–11
Requirements → System representation → MCP → Interaction design → Prototyping → Physical AI

Week 7: Requirements Gathering & Analysis
Week 8: Midterm period
Week 9: Agentic/Physical AI III: Model Context Protocol (MCP) ( Prof. Park)
Week 10: Interaction Design & Prototyping
Week 11: Agentic/Physical AI IV: Physical AI (Prof. Park)

Deliver: Weeks 12–15

Week 12: Deliver: Prototyping & Evaluation of Usefulness, Usability & Affect
Week 13: Prototyping I
Week 14: Prototyping II
Week 15: Final Demo and Submission; Course Wrap-Up
Week 16: Final exam week
Prototype → Evaluation → Iteration → Final prototype

Lecture & Discussion; Project-based Learning
Prof. Ma's class is held in C5-106; Prof. Park's class is held in ChangeUp Ground 306.