The first project is called Human-in-the-Loop Decision System for Managing Forest Fires. In this project, the student will work with both me and Prof. Kate Larson to create a AI decision support tool for managing forest fires, where the algorithm both makes predictions and explains its predictions / uncertainties. The student will design a study where forest fire trainees will use the decision support tool to make decisions about hypothetical forest fire situations, and discuss their reasoning for accepting / rejecting the AI's recommendation. The ideal candidate would have experience and interest in both AI and Human-Computer Interaction (HCI).
The second project is called Teachable Agent for Fostering Curiosity. In this project, the student will work with an international research team to create a teachable, conversational agent (an agent that acts as a less knowledgeable peer taught by students) that foster curiosity in students. The student will develop interfaces, survey literature in Psychology/Education related to curiosity and learning-by-teaching, design and conduct experiments. The ideal candidate would have experience and interest in Human-Computer Interaction (HCI). Knowledge in natural language processing (NLP) is an asset.
I have developed a structured program to work with undergraduate students on research. If you are interested in working with me, it will require 1 (or sometimes 2) year commitment, so plan early! The ideal starting time is when you are in the third year of your undergraduate program.
The timeline is roughly 3 terms, and adjusted based on students' co-op/school term schedule. In addition to their own projects, students will get to participate in lab meetings, interact with graduate students, and potentially help with other on-going research projects.