Projects

End-to-end UX research and design projects, from problem framing and prototype to evaluated design principles.

01

Does Transparency About Training Data Change How Users Trust AI?

Studying how transparency about an AI's training data affects how users perceive and trust the system.

Prototype Design Interview Study Iterative Design Thematic Analysis Mixed Methods
View project →
02

Does Explanation Presentation Format Affect How Users Assess and Understand AI?

Comparing narrative vs. Q&A formats to understand how presentation style affects users' assessment and understanding of AI systems.

Prototype Design Controlled Experiment Qualitative Coding Mixed Methods
View project →
03

How Much Detail Should a Training Data Explanation Include?

Examining the tradeoff between explanation detail and usability in training dataset explanations.

Prototype Design Factorial Design Cognitive Load Mixed Methods
View project →
04

How Do We Measure AI Literacy: Developing a Scale That Captures Both Knowledge and Confidence?

Developing and validating a dual-format AI literacy scale and exploring the calibration between confidence and knowledge.

Scale Development Survey Research Psychometric Validation Statistical Analysis
View project →