Time : 10:30 am - 12:00 pm
Venue : ZOOM

Speaker: Prof Sidney D’Mello from the Institute of Cognitive Science of the University of Colorado Boulder

Prof D’Mello is a leading scholar in the field of affective and attentional computing, multimodal interaction, and intelligent learning environment. His research integrates computer science and affective science to study the causes and consequences of different affective and cognitive states (e.g. confusion, boredom, mind wandering) in learning environment. He has published over 300 journal articles in the field of emotion, computer science, and educational studies. In this online lecture, he will discuss studies that utilize signal processing and machine learning techniques to understanding learning emotions in the digital learning environment. More information about the speaker can be found in his personal webpage: https://sites.google.com/site/sidneydmello/.

Abstract: We study the complex interplay between cognitive and affective states (e.g., confusion, frustration, mind wandering) during learning and leverage insights to develop technologies that coordinate what learners think and feel in addition to what they know and do. Our basic research investigates how complex mental states arise and influence learning via an analysis of interactions among the learners themselves, the learning content, and the learning activity. We then use signal processing and machine learning techniques to build computational models of mental states from facial features, body movements, peripheral physiology, eye gaze, and contextual cues in a variety of digital learning environments, both in the lab and in the wild. Finally, we close the loop by embedding our models in affect- and attention- aware technologies that increase engagement and learning by dynamically adapting to cognition and emotion. This talk will discuss our theoretical foundations, summarize key findings, and discuss our vision for the future of cyberlearning. 

The online lecture will be conducted via zoom: 

Date and Time: 3rd Nov 2020 (Tue), 10:30 am to 12:00 pm 

If you are interested to join this online lecture, please register here. Thank you for your support and looking forward to seeing you!