Name: Using Machine Learning to train AI for Quantitative Behavioral Coding
Start: 2024-09-06T14:30:00-0400
End: 2024-09-06T15:15:00-0400

We want to thank our sponsors for their contributions to AARC!

Duquesne University’s Counseling Program - Pittsburgh, PA
Indiana University of Pennsylvania - Indiana, PA
University of Nevada, Las Vegas - Las Vegas, NV

Friday September 6, 2024 2:30pm - 3:15pm EDT

Washington

Feedback Survey

Table 5. Quantitative behavioral coding of counseling treatments is time consuming, however rigorous in determining which aspects of our practices are efficacious. By using AI/ML, presenters share a 3 step process of enhancing productivity. First, we built a deep neural network classifier for one item to test ML algorithm. Next, we expanded the ML model to the rest of the coding protocol. Finally, we optimized the full ML coding model with > 8,000 audio files.

Speakers

Yung-Wei Lin

Associate Professor, University of Iowa

Laura Shannonhouse

Associate Professor, University of Florida

Dr. Shannonhouse‘s research focuses on crisis intervention and disaster response. She is curious about how people make sense of, and effectively cope with, suffering through their faith. She also works with systems (i.e. k-12 school, university, aging, veteran) to prevent suicide... Read More →