I am passionate about developing robot systems, computational methods, and design principles to enable close, continuous, and personalized robot-assisted support to augment human capabilities. Drawing on robotics, human computer interaction, and artificial intelligence, I have developed computational methods that allow robots to (1) decipher human action and behavioral cues (e.g., gaze), (2) synthesize socially intuitive behaviors, and (3) provide individualized support. Together, these abilities enable robots to interact with people to promote desirable outcomes.
My current research focuses on building socially assistive robots to support therapeutic interventions for children with autism spectrum disorders (ASD) over an extended period of time.
HRI'17Give Me a Break! Personalized Timing Strategies to Promote Learning in Robot-Child Tutoring | pdf HRI'16Anticipatory robot control for efficient human-robot collaboration | pdf PHD DISSERTATIONHuman-robot joint action: coordinating attention, communication, and actions | pdf FRONTIERS IN PSYCHOLOGYUsing gaze patterns to predict task intent in collaboration | pdf RSS'15Adaptive coordination strategies for human-robot handovers | pdf SIGCSE'15From 9 to 90: engaging learners of all ages | pdf AUTONOMOUS ROBOTSMultivariate evaluation of interactive robot systems | pdf RSS'14Modeling and controlling friendliness for an interactive museum robot | pdf HRI'14Learning-based modeling of multimodal behaviors for humanlike robots | pdf RSS'13Modeling and evaluating narrative gestures for humanlike robots | pdf JOURNAL OF HRIThe repertoire of robot behavior: enabling robots to achieve interaction goals through social behavior | pdf HRI'12Robot behavior toolkit: generating effective social behaviors for robots | pdf