Pain Studies Lab presents AI research at IEEE GEM 2018

By | Conference Papers, Conferences, Papers, Publications

Weina Jin, a Pain Studies Lab Ph.D. student, presented her research on using machine learning to predict cybersickness at the IEEE GEM 2018 conference in Galway, Ireland on August 17, 2019.

In her 20-minute talk, Weina outlined the challenges of building predictive models for cybersickness research. To address these problems, she and her colleagues used a pure data-driven approach. They constructed a dataset for this problem, collected VR gameplay data labeled with a cybersickness core and built machine learning models. In their pilot study, results showed that their machine learning could model cybersickness in real-world VR gameplay settings. The presentation was part of Session 3.4: Deep Learning Techniques for GEM.

Their full peer-reviewed paper will appear in the IEEE GEM’s Conference Proceedings: “Automatic Prediction of Cybersickness for Virtual Reality Games” by Weina Jin, Jianyu Fan, Diane Gromala and Philippe Pasquier.

The IEEE GEM (Game, Entertainment, and Media) 2018 conference is a platform for disseminating innovative research and development work on game, entertainment, and media technologies.

Design Principles and Practices: Graduate Scholar Award to Xin Tong

By | Papers

Xin Tong was the recently recipient of the Design Principles and Practices’ Graduate Scholar Award. This award is annually given to outstanding graduate students from around the world. Recipients of this years award are from Brazil, Canada, Columbia, England, Japan and the United States. Graduate Scholars perform a critical role in the annual conference by chairing the parallel sessions and presenting their own research papers.

Xin’s paper, “Experience and Practice: Body Image and Body Schema for Embodied Cognition in Human Computer Interaction Design,” was written in collaboration with her Senior Supervisor, Dr. Diane Gromala. This work combines their experiences with patients in pain clinics and research results from SFU’s School of Interactive Arts and Technology’s Pain Studies Lab.