I study how AI systems shape human reasoning.
My work explores how interaction design influences the way people think, learn, adapt and make decisions in the age of increasingly capable AI systems. I design interactive systems that keep humans actively engaged in reasoning rather than treating AI as a replacement for thinking.
My research sits at the intersection of human-centered AI, cognitive interaction design and learning sciences.
Direction
Research Direction
- AI should strengthen reasoning, not replace it.
- The design of interaction shapes how people think.
- Human cognition should remain central in the age of AI.
Research
Research Systems
Circuit Quest: A Structured Interaction Environment for Reasoning in Electric Circuits
How can structured interaction loops preserve conceptual reasoning in an era of instant AI answers?
Experimental human-AI system integrating prediction, simulation, reflection and interaction logging to study cognitive engagement during problem solving.
AI-Guided Circuit Tutor
Can AI-mediated prompting increase reasoning depth without making learners cognitively passive?
Preprint study on a reasoning support system that withholds direct answers and uses stepwise prompts to sustain active explanation.
Engineering Design and Cognitive Engagement in STEM
How does structured design interaction shape explanation, reflection and conceptual transfer?
Study examining how iterative build-test-reflect cycles improve understanding compared with passive instructional formats.