About

Her research focus is multimodal attention loop design in the context of Technology-Enhanced Learning (TEL). There are two lines of work in her study; 1) Multimodal machine learning for human attention tracking and 2) Multimodal feedback design using conversational agents. In the process, she tries to design a loop that machines can deeply perceive human behaviors & surroundings and further provide feedback which better supports human attention. She focuses on multimodality as a means to understand and bridge human-machine interactions. Her topic covers Multimodal machine learning and analytics, the Internet of Things (IoT), Instructional design (ID), Interface for conversational agents and robotics, and eye-tracking.

Publications