Research program
Artificial Intelligence & Human–AI Interaction
How do intelligent systems shape human agency?
The documented foundation
Past work in context.
The founder’s smart-home publications explore technology design, accessibility and human-centered frameworks, providing a foundation for questions about how people understand and interact with intelligent systems.
Current development
Where the work stands.
Human–AI interaction is a prospective research direction centered on agency, trust and the interpretation of intelligent systems.
Prospective investigations
Questions worth developing.
Examine how explanations, adaptive behavior and perceived social presence influence understanding, trust, agency and the interpretation of AI outputs.
- How do people form and revise expectations about an AI system’s capabilities?
- When does personalization support agency, and when might it encourage over-reliance?
- How should an interface communicate uncertainty across different abilities and backgrounds?
Methods & scope
From a question to an appropriate method.
Potential work includes literature reviews, participatory question development, interface studies and carefully scoped comparisons of explanation designs. Evaluation criteria would need to distinguish perceived helpfulness from demonstrated accuracy or benefit.
Research focus
The research agenda distinguishes system performance, perceived usefulness and human benefit, with particular attention to how people understand uncertainty.
Evidence & connections
Read the foundation.
- Evaluating Smart Home Usability and Accessibility in Early Detection and Intervention of Mental Health Challenges Among Older Adults: A Narrative Review and FrameworkNarrative review · 2025
- Human-centered design for smart home technologies: a framework for aging and mental healthOpinion · 2025
Related areas
A shared pursuit
Better questions.
More humane futures.
We welcome thoughtful dialogue across disciplines, institutions and communities.
Explore collaboration