The Translational Research for Injury Prevention (TRIP) Laboratory, under the leadership of Dr. Despina Stavrinos, has expanded its research to incorporate more human factors in simulated research studies. Communication is a vital human factor for team operations in various paradigms.
In simulated studies, this is typically achieved using wired/wireless headsets and microphones that enable communication between the research operator and group participants for instructions and task performance. This project aims to build a generalized tool for processing, analyzing, and potentially improving audio data for teaming operations in a simulated environment. This analysis can inform on group communication, coordination, distraction, and other important parameters for team performance.
175 hours (Medium project, 12 weeks)
Python programming, ML/DL knowledge, Natural language processing knowledge and experience, Github experience
This project has a moderate level of difficulty.
Please use this link to access the test for this project.
Please DO NOT contact mentors directly by email. Instead, please email human-ai@cern.ch with Project Title and include your CV and test results. The mentors will then get in touch with you.