Research

Research topics

·        Human-robot interaction  

·        Human-computer interaction

·        Smart and connected health/community

·        Technology-mediated assessment/intervention systems for individuals with Autism Spectrum Disorder (ASD)

·        Technology-assisted healthcare for older adults

·         Automatic interaction cue sensing for cognitive and behavioral analysis


Current Research Projects

In this project, we are developing and validating mixed reality systems to understand and change the sensory abnormality in children with ASD. Sensory abnormality is one of the most important features of ASD, which influences about 90% of children with ASD. The systems we develop aim to provide more objective sensory evaluations that are tied to the core deficits of ASD and help children cope with sensory difficulties in their daily life.


In this project, we are developing and validating robotic systems to deliver cognitive and physical interventions to older adults with MCI. These interventions aim to attenuate cognitive decline related to MCI, which impacts 16-20% of older adults worldwide.


In this project, we are analyzing subtle human behavioral changes during human-machine interaction experiments using machine learning and other statistical models. These analyses will help us understand human behavioral patterns that cannot be easily observed and understood using traditional methods. Models developed in the project also help the group create adaptive HMI systems that adapt their actions according to the users' mental, cognitive, and behavioral responses. 


In this project, we are developing computer vision models, multi-modal data fusion models, and software interfaces to automatically analyze behavioral changes related to substance (e.g., alcohol) usage. This project will disclose subtle behavioral patterns that are hard to be observed using traditional psychological methods, provide high-resolution behavioral data, and expedite psychological analysis.