Using Artificial Intelligence to Classify Interpersonal Skills

This MITACS BSI project represents a collaboration between Skillsetter.com (an online interpersonal skills training company and Partner Organization) and members of the University of Calgary’s Department of Computer Science (Professor Richard Zaho [Academic Supervisor] and Mohamad Elzhobi [PhD Student and Project Intern]) aimed at developing a machine learning model to classify aspects of judgmentalness from video recordings. The intern will develop a theoretical framework for integrating multimodal data with text-based classification models, create a text-based machine learning model to classify different aspects of judgmentalness from video recording transcripts, and integrate the model with existing services and data pipelines at Skillsetter. The project’s primary impact on the partner organization will be to substantially enhance the commercialization of their technology, including supporting their entry into new international markets. The project’s secondary impact will be to directly advance knowledge about the ability of machine learning algorithms to classify nuanced and contextual interpersonal communications.

Faculty Supervisor:

Richard Zhao

Student:

Partner:

Skillsetter

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Calgary

Program: