We are an academic research laboratory at the School of Information Technology and Electrical Engineering, University of Queensland. Led by Dr. Arindam Dey and Dr. Chelsea Dobbins, we are investigating both software and hardware components to enable empathic computing technology, along with researching the usability of such interfaces. We are also exploring the area of lifelogging, in order to develop intuitive lifelogging interfaces, monitor individuals in everyday life and emotion recognition, using machine learning and signal processing techniques. Our lab is part of the Co-Innovation Research Group headed by Prof. Janet Wiles. We are close collaborators of the Empathic Computing Laboratory directed by Prof. Mark Billinghurst.



  • Empathic Computing
  • Collaborative Interfaces
  • Augmented Reality
  • Virtual Reality
  • Pervasive Computing
  • Wearable Computing
  • Lifelogging
  • eHealth

Latest Projects

Adaptive Virtual Interfaces

This project explores the possibilities of making virtual reality interfaces more effective by making them adaptive to the users’ emotional and cognitive needs.

LingoCube: Augmented Reality-Based Tangible User Interface for Interactive Language Learning

Learning a second language is a useful exercise in many ways. However, the process of learning is not straightforward. This project explores novel methods of learning languages using augmented reality and tangible user interfaces.

Interacting in VR with Brain Signals and Facial Expression

Virtual Reality is a technology that commonly requires handheld controllers and physical movements to properly interact with the environments. However, there are alternative interaction methods that can enable disabled users to interact with and experience VR such as brain-computer interaction, […]

Latest Publications

The Effects of Sharing Awareness Cues in Collaborative Mixed Reality

Piumsomboon, T., Dey, A., Ens, B., Lee, G. and Billinghurst, M., 2019. The Effects of Sharing Awareness Cues in Collaborative Mixed Reality. Frontiers in Robotics and AI, 6, p.5.

Indexing Multivariate Mobile Data through Spatio-Temporal Event Detection and Clustering

Reza Rawassizadeh, Chelsea Dobbins, Mohammad Akbari and Michael Pazzani, “Indexing Multivariate Mobile Data through Spatio-Temporal Event Detection and Clustering” in Sensors, vol. 19, no. 3, pp. 448, 2019. Doi: https://doi.org/10.3390/s19030448

New Updates

Our students presented and survived their research seminars

Where in the World is AR Research Happening?

By Prof. Mark Billinghurst (Original posting at medium.com)   This post provides a brief overview of where Augmented Reality (AR) research is happening in universities around the world. Academic Research in Augmented Reality arguably dates back to the 1960’s with […]