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Personal profile

Biography

Barrett Ens is a Lecturer in the Faculty of Information Technology. During his PhD work at the University of Manitoba, he completed two research internships with the User Interface Research Group at Autodesk Research. He later worked as an NSERC Postdoctoral Research Fellow at UniSA's Empathic Computing Lab.

Barrett is currently a member of the Immersive Analytics research group. His research interests include novel input methods for augmented reality, immersive analytics, and situated data visualisation.

Research interests

Barrett’s current research focuses on interacting with data in immersive environments, with an aim of improving the productivity of interaction to enable more complex and useful systems. This research explores how to take advantage of human spatial abilities for manipulating and understanding information beyond the confines of traditional flat displays. Maturing technologies such as augmented reality (AR), the internet of things (IoT) and wearable computing devices allow us to begin integrating computing activities into the physical world. This fundamental change in interface design will provide new opportunities to interact with smart environments, explore large data sets, and solve everyday problems.

Supervision interests

Spatial user interfaces to enable emodied interaction and support productivity and creativity in advanced, next-generation interactive systems.

Novel input methods for augmented reality, including wearable devices, microgestures, eyetracking and multi-modal input.

Situated data visualisation and situated analytics of IOT, BIM, or other spatial data using augmented reality and other immersive technologies.

 

Education/Academic qualification

Computer Science, Doctor of Philosophy, University of Manitoba

Award Date: 18 Oct 2016

Computer Science, Bachelor of Computer Science, University of Manitoba

Award Date: 1 May 2005

Research area keywords

  • Immersive Analytics
  • Situated Analytics
  • Augmented Reality
  • Virtual Reality
  • Spatial User Interfaces

Network

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