MagicLeap Workshop

Augmented Reality Summer School

(Registration period has been expired)

February 11th - 15th, 2019
Auckland, New Zealand

Learn how to develop Empathic AR applications for the MagicLeap display.


Staff and students from the Empathic Computing Laboratory are organizing a week-long AR summer school at the University of Auckland from February 11th - 15th. The summer school will combine taught lectures with hands-on project work with the MagicLeap AR display and a variety of physiological sensors and input devices. Attendees will work in small groups to each complete an example MagicLeap project by the end of the week. This is a unique opportunity to learn how to develop MagicLeap applications from leading experts in the field.


  • Mark Billinghurst, University of Auckland
  • Jimmy Baird, MagicLeap
  • Amit Barde, University of Auckland
  • Huidong Bai, University of Auckland
  • Brian Jennings, MagicLeap
  • Gun Lee, University of South Australia
  • Aaron Quigley, University of St. Andrews
  • Others to be announced..


The summer school will combine 10-12 hours of lectures with 25-30 hours of hands-on development with the MagicLeap display. The tentative program is:

  • Monday: Introduction to AR, UX/User Experience design for MagicLeap display, Developing ML applications with Unity, Project group formation
  • Tuesday: Rapid prototyping for AR, Sensor systems for Empathic Computing, Interaction metaphors for AR, Using sensors in Unity, Project work
  • Wednesday: AR content development, Perceptual issues in AR, Designing collaborative systems, Project work/review.
  • Thursday: AR best practices, Evaluating AR systems, Project work
  • Friday: Future research in AR, MagicLeap future directions, Project presentations

What You Will Learn

  • An introduction to Augmented Reality and AR technology
  • How to design good AR experiences
  • How to use the Unity game engine
  • How to program the ML-1 system using Unity
  • Evaluation of AR experiences
  • Principles of Empathic Computing
  • Using physiological sensing in AR applications
  • AR research directions