Adv. Human–Computer Interaction

Information

Course Overview

This course explores the intersection of generative AI and Human-Computer Interaction, equipping students to design, critique, and ethically deploy text-to-image (T2I) technologies in real-world applications. Through hands-on labs, case studies, and debates, students will bridge technical foundations with HCI principles—focusing on usability, creativity, and societal impact.

Course Objectives

• Be able to:

  • Explain how diffusion models and text-image alignment (CLIP) work at a conceptual level

  • Compare the strengths/weaknesses of major T2I tools for design tasks

  • Apply prompt engineering techniques to generate usable outputs for design scenarios.

  • Design AI-augmented workflows and evaluate their efficacy.

  • Diagnose biases in T2I outputs and propose mitigation strategies.

  • Develop a functional prototype that integrates T2I into a user-facing application.

Reference Material

• TBD

Lecture Note

• TBD

Important Course Notes

Class Sessions

• Tuesday {8:00-10:00}PM

Office Hours

• Tuesday {13:30-15:30} [Office Room] @4321

Grading Criteria

• Paper - 30%

• Report - 20%

• Project - 40%

• Participation - 10%