We investigate how interactive and adaptive AI systems can be designed to:
- Support emotional awareness and psychological well-being
- Enhance creative expression and reflective practice
- Augment human capabilities in physically and cognitively demanding activities
- Foster meaningful, ethical, and transparent human–AI collaboration
Our work emphasizes experience-centered evaluation, combining qualitative and quantitative methods to understand how people perceive, engage with, and are impacted by intelligent systems in real-world contexts.
Core Research Areas
🧠 Human-Centered AI
Designing AI systems that are interpretable, adaptive, and aligned with human values, needs, and capabilities, with a focus on user experience, trust, and agency.
🌱 Digital Mental Well-being
Exploring AI-powered tools for emotional regulation, mental health skill training, and reflective practices, including applications in therapy, education, and everyday life.
🎨 Augmented Creativity
Investigating how generative AI, mixed media, and immersive technologies can support creative expression, sense-making, and personal growth without undermining human authorship.
🏃 AI for Sports and Gaming
Developing adaptive and embodied AI systems for physical activity, exergames, and interactive gaming experiences that enhance motivation, performance, and long-term engagement.
Methodological Approach
The HII Lab adopts a mixed-methods research approach, integrating:
- Interactive system design and prototyping
- User studies and longitudinal evaluations
- Qualitative methods (e.g., interviews, thematic analysis)
- Quantitative analysis (e.g., psychometric scales, behavioral and physiological data)
Through close collaboration with students and interdisciplinary partners, we aim to translate research insights into deployable systems, design frameworks, and theoretical contributions.