human-robot interaction human-centered design environmental sensing
Nose Knows presents a human-centered robotic air quality monitor that communicates environmental conditions using “universal nasal cues,” such as sneezing, alongside multimodal feedback like sound, movement, and LEDs. Developed through participatory design, the system explores how biologically inspired expressions can enhance user engagement and understanding of air quality information.
Publication
Tiger, J. P., Williamson, P., Kannan, N., Henley, J., Roesler, E., & Porfirio, D. (2026). Nose Knows: A human-centered robotic air quality monitor. In Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction (HRI Companion ’26) (pp. 1241–1244). Association for Computing Machinery. https://doi.org/10.1145/3776734.3794605
Video
Below is a video representing the capabilities of Nose Knows and the introduction to the student team and faculty mentors.
♥ This work was co-led by JP Tiger, Paige Williamson, Neha Kannan, and Jacob Henley, who contributed equally as student leads. The work was co-supervised by David Porfirio.