AI-Enhanced User Experience Design

This unit develops applied skills for integrating generative AI across user experience design, content, and development workflows. Students will build on foundational concepts to prototype, evaluate, and publish AI-powered conversational agents, accessibility and localization solutions, and AI-assisted content/code pipelines while attending to ethics, accuracy, and deployment practices.

Learning Objectives

• Analyze and compare the effects of model selection and parameter tuning (e.g., temperature) on conversational behavior, information accuracy, and bias using defined evaluation metrics.
• Apply prompt-engineering techniques and platform tools to design, prototype, and publish a conversational AI agent that satisfies specified localization, multimedia, accessibility, and citation requirements.
• Demonstrate AI-assisted production workflows (including linting, code generation, summarization, SEO, and automated data analysis) by blending human-authored and AI-generated outputs and implementing verification steps to reduce misinformation.
• Evaluate ethical, pedagogical, and professional implications of deploying generative AI in UX contexts—assessing risks such as AI hype and data mistruths—and formulate mitigation and career-transition strategies.