Studying how users really use multi agent systems
Project Description
This project involves analyzing existing MAS traces to characterize usage patterns and responses, e.g., continued adoption or discontent followed by switching.
Supervisor
NARECHANIA, Arpit Ajay
Quota
1
Course type
UROP1000
UROP1100
Applicant's Roles
- Analyze behavioral data and summarize results (R or Python)
- Contribute to scientific writing
Applicant's Learning Objectives
Student will gain mentorship in research, end-to-end experience from research design to reporting, and co-authorship on a research publication.
Complexity of the project
Moderate