AI, User Experience, and Creative Technology
This course explores the next generation of User Experience (UX) design, where interfaces are no longer static but “liquid” and adaptive. Students will learn how to use AI to create personalized, predictive, and accessible user experiences. The curriculum covers “Anticipatory Design,” AI-driven accessibility tools, and the integration of creative technologies (voice, gesture, biosignals) into standard UX workflows.
§ 01 By the end you can
- Design "Anticipatory Interfaces" that predict user needs using AI data
- Implement AI tools for automated accessibility (e.g., auto-alt text, voice nav)
- Map user journeys that integrate AI agents and chatbots seamlessly
- Prototype multimodal interactions (Voice, Gesture, Touch)
- Evaluate the ethical implications of data collection for personalized UX
§ 02 Sixteen sessions
The whole semester.
- 01The Evolution of UX: From Static to Smart
- 02Personalization Algorithms & UX
- 03Anticipatory Design: Reducing Cognitive Load
- 04AI for Accessibility & Inclusion
- 05Data-Driven Personas & User Testing
- 06Prototyping Liquid Interfaces
- 07A/B Testing with Evolutionary Algorithms
- 08 · MidtermMidterm Examination
- 09Conversational UI & Chatbots
- 10Voice User Interfaces (VUI)
- 11Gesture & Haptic Interaction
- 12Creative Tech Tools (Sensors/IoT)
- 13Affective Computing (Emotion AI)
- 14The Ethics of Persuasive Tech
- 15Future Trends: BCI in UX
- 16Final Project: The Adaptive App
Midterm around session 8. Final project briefed at session 8 or 9 and developed in stages until the juries.
§ 03 Final project
Final Project: The Adaptive App
Recommended reading
- AI for UX: The Designer’s Guide to Artificial Intelligence by Kris Frampton (fictional placeholder - suggest Design for How People Think by John Whalen)
- Machine Learning for Designers by Patrick Hebron
- Don't Make Me Think by Steve Krug
- The Best Interface Is No Interface by Golden Krishna
- Designing for the Digital Age by Kim Goodwin
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