Chen, M., Park, J., and Lee, S. 2025.
BioSense: Designing Multi-sensory Experiences for Environmental Data Communication
CHI '25 - Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
Exploring how artificial intelligence can learn from and integrate with natural systems to create more sustainable and adaptive technologies.
Designing human-computer interfaces that prioritize environmental awareness and foster ecological thinking in everyday interactions.
Developing interaction paradigms that minimize environmental impact while maximizing meaningful human engagement with technology.
Creating computational systems that not only reduce harm but actively contribute to environmental restoration and biodiversity.
An AI-powered environmental monitoring system that translates ecological data into intuitive multi-sensory experiences.
A conversational agent that helps users understand their environmental impact through natural dialogue and personalized insights.
Digital fabrication tools that optimize material usage and incorporate biodegradable materials in the design process.
Chen, M., Park, J., and Lee, S. 2025.
CHI '25 - Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
Kim, Y., Zhang, W., and Chen, M. 2025.
DIS '25 - Proceedings of the 2025 ACM Designing Interactive Systems Conference
Park, J., Nakamura, H., and Lee, S. 2024.
TOCHI - ACM Transactions on Computer-Human Interaction, Vol. 31, No. 4
March 2025
The award will support a five-year project exploring how AI systems can be designed to prioritize environmental sustainability.
February 2025
Our lab members will present research on environmental sensing, sustainable HCI, and AI-nature interaction at this year's CHI conference.
January 2025
We are excited to announce a new interdisciplinary partnership to study human-AI-nature relationships.