I’m a PhD student in the field of Human-Computer Interaction (HCI), part of the GEMINI project team at Lancaster University, supervised by Prof. Hans Gellersen. In GEMINI, we investigate the coordination of eye, head and body to design multimodal interfaces that better reflect the interplay of gaze and movement, and that let users interact more naturally in extended reality (XR), using their eyes and body in concert.

In my research, I apply machine learning (ML) and signal processing to model human behaviour as context for interaction, with a focus on developing novel eye-head-based interaction techniques. I aspire to a future in which ML-enabled devices enhance human capacities, interfacing in intuitively human ways.

Biography

Baosheng, also known as James, has a background in biomedical engineering ( CV). He received his Bachelor’s from the University of Auckland, supervised by Assoc. Prof. Richard Clarke and Prof. John Cater, he modelled the computational fluid dynamics of the human vocal tract. James interned at the Auckland Bioengineering Institute, where he used machine learning to predict soft tissue deformation for cancer imaging, supervised by Dr. Duane Malcolm. And modelled the motions of the human shoulder complex to evaluate novel motion capture technologies, supervised by Dr. Kumar Mithraratne and Dr. Ted Yeung.

James received his Master’s from the Technical University of Denmark (DTU), where he researched hybrid brain-computer interfaces, supervised by Assoc. Prof. Sadasivan Puthusserypady and Prof. John Paulin Hansen, their paper was given the Best Paper Award at the 2020 COGAIN Symposium. James also served as a bioinformatics programmer and modeller on a student team that won a gold medal at an international synthetic biology competition (iGEM), advised by Assoc. Prof. Christopher Workman.

After his MSc., James worked as a research assistant at DTU, led by Dr. Fiona Bríd Mulvey, Assoc. Prof. Per Bækgaard, and in collaboration with occupational therapists, he helped develop a smart visual aid as XR headset for visually imparied patients. James later joined the lab of Prof. Hans Gellersen at Lancaster University as a PhD student, where he now applies ML and signal processing to develop novel classifiers for eye-head movements.

Using an experimental approach, James explores various interfacing technologies, including eye tracking, virtual reality and XR headsets, EOG glasses, and EEG. And has co-authored publications in CHI, INTERACT, ETRA, and COGAIN. In James’ diverse projects and interdisciplinary endeavors, a consistent theme prevails: harnessing technology and the power of computational modelling to enhance the lives of people.