CAIDA member Dr. Cristina Conati, alongside fellow researchers Oswald Barral, Vanessa Putnam, and Lea Rieger, has had a paper accepted to the Artificial Intelligence Journal. The Artificial Intelligence Journal (AIJ) is the most prestigious journal for AI research. Dr. Conati's paper, "Toward personalized XAI: A case study in intelligent tutoring systems," focuses on Explainable AI (XAI), an area with a lot of traction to use AI to increase user trust by making the inner workings of a system more transparent. Dr. Conati and her team used AI to help personalize hints to the projected learning level of students in a tutoring program. Their study not only helped to determine the format of hints that aid the learning process the best, but also identified user characteristics that have a strong effect on an individual’s learning gains: Need for Cognition, Contentiousness, and Reading Proficiency. The researchers believe that personalizing hints based on these user characteristics will greatly increase user experience.
A big congratulations to Cristina Conati, Oswald Barral, Vanessa Putnam, and Lea Rieger for such an accomplishment.