Koeun Choi: How Do We Perceive and Learn from Robots?
With the rapid development of robots and artificial intelligence technologies, intelligent robots are increasingly becoming part of our lives. While humans are still and important source for learning, technological innovation has broadened the range of sources learners can use to access, seek out, and learn information. Human-like robots have the potential to elicit positive emotions and support learning through socially adaptive exchanges with learners. At the same time, these robots may trigger psychological difficulty in acceptance of artifactual-but-human-like objects, referred to as the "uncanny valley."
To design individualized and effective robots to support human learning, it is critical to understand how humans perceive and learn from robots. Koeun Choi will present data from an experimental study designed to examine human perception and learning from robots. She will then discuss the implications of these findings for learning with technology and future directions.
Dr. Koeun Choi is an Assistant professor of Human Development and Family Science. She directs the Cognitive Developmental Science (CoDeS) lab. Her work connects cognitive development and technology to explain and support young children's learning. Technological innovations impact our everyday lives, including young children and their families. Her esearch focuses on cognitive and contextual factors that influence children's learning from technology, with the goal of supporting children's active learning through technology. She employs multiple methods such as experiments, individual difference measures, eye-tracking, and computational and machine learning approaches to guide developmentally appropriate practices for technology integration.
This talk is free and open to the public and we invite anyone to attend. There will be a brief questions and answer session following the presentation. If you are an individual with a disability and desire an accommodation, please contact the Center for Humanities at 540.231.1981 or email email@example.com.