HCI, Visualisation and User Experience

Virtual reality (VR) is often seen as a transformative tool for education and training, offering immersive environments where learners can safely and effectively build knowledge, skills, and abilities. However, unlocking its full potential requires a deeper understanding of how individuals perceive, behave, and learn within VR environments.

Our team has developed a VR soft skills training program that allows users to engage in challenging social interactions within a controlled, immersive setting. By studying how learners interact and grow within this program, we aim to uncover key design principles that can inform the broader application of VR in training and education.

Partner - Liminal VR

Biomedical imaging, clinical records, and data from body-worn sensors generate complex, heterogeneous spatial-temporal information throughout daily life, treatment, and rehabilitation processes. Managing and interpreting this diverse data presents both challenges and opportunities for advancing healthcare.

Our team develops cutting-edge AI solutions that integrate multi-modal health data to enable smarter healthcare applications, such as early diagnosis, prognosis, and preventative care. This project supports more precise data analysis, deeper knowledge discovery, and personalised diagnosis and treatment planning, ultimately enhancing patient outcomes and advancing the future of healthcare.

Partners – Taipei Medical University; Taipei Municipal Wanfang Hospital; Shandong Cancer Hospital; Rudder Technology PTY LTD

Autonomous vehicle technology holds significant promise for improving mobility and independence for people with disabilities. However, the specific barriers and opportunities this technology presents to these users remain insufficiently understood.

Our team investigates the unique needs and requirements of people with disabilities in the context of emerging autonomous vehicle technologies. We aim to inform an interaction design framework that spans the entire user journey, from trip planning to in-vehicle interaction and arrival.  In addition, we develop tailored interaction schemes for in-vehicle user interfaces to ensure that autonomous vehicles are accessible, inclusive, and supportive of diverse user abilities.

Partners – HMI Technologies; iMove Australia

Motorcycles are frequently involved in crashes due to improper riding behaviours. As a forward step in mobility innovation, Cooperative Intelligent Transport Systems (C-ITS) offer the potential to reduce such incidents by enabling real-time road behaviour alerts through wireless communication.

This project aims to improve motorcycle rider safety by integrating riders with connected infrastructure, cloud services, and vehicle data to deliver timely warnings about potential hazards. Our team investigates how C-ITS-based warning systems can most effectively deliver crash alerts to riders, with the goal of maximizing safety and enabling faster, more informed responses in critical situations.

Partners – iMove Australia