Jonathon Hart

Jonathon Hart

PhD Student

Jonathon is a PhD student at the Empathic Computing Lab. He received his Honours degree at the University of Adelaide. He was employed as a Research Assistant at the University of South Australia (UniSA) where he created an app called “Healthy Drinks” that is designed to monitor the soft drink intake of remote Indigenous communities in Northern Territory. He currently works as a Project Officer at UniSA designing, building and constructing both the hardware and software for a remote collaborative space. He is interested in using this remote collaborative space to help people understand each other by using gaze and gesture cues in a number of scenarios in Augmented Reality environments.

Projects

  • Mini-Me

    Mini-Me is an adaptive avatar for enhancing Mixed Reality (MR) remote collaboration between a local Augmented Reality (AR) user and a remote Virtual Reality (VR) user. The Mini-Me avatar represents the VR user’s gaze direction and body gestures while it transforms in size and orientation to stay within the AR user’s field of view. We tested Mini-Me in two collaborative scenarios: an asymmetric remote expert in VR assisting a local worker in AR, and a symmetric collaboration in urban planning. We found that the presence of the Mini-Me significantly improved Social Presence and the overall experience of MR collaboration.

Publications

  • Mini-Me: An Adaptive Avatar for Mixed Reality Remote Collaboration
    Thammathip Piumsomboon, Gun A Lee, Jonathon D Hart, Barrett Ens, Robert W Lindeman, Bruce H Thomas, Mark Billinghurst

    Thammathip Piumsomboon, Gun A. Lee, Jonathon D. Hart, Barrett Ens, Robert W. Lindeman, Bruce H. Thomas, and Mark Billinghurst. 2018. Mini-Me: An Adaptive Avatar for Mixed Reality Remote Collaboration. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, New York, NY, USA, Paper 46, 13 pages. DOI: https://doi.org/10.1145/3173574.3173620

    @inproceedings{Piumsomboon:2018:MAA:3173574.3173620,
    author = {Piumsomboon, Thammathip and Lee, Gun A. and Hart, Jonathon D. and Ens, Barrett and Lindeman, Robert W. and Thomas, Bruce H. and Billinghurst, Mark},
    title = {Mini-Me: An Adaptive Avatar for Mixed Reality Remote Collaboration},
    booktitle = {Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems},
    series = {CHI '18},
    year = {2018},
    isbn = {978-1-4503-5620-6},
    location = {Montreal QC, Canada},
    pages = {46:1--46:13},
    articleno = {46},
    numpages = {13},
    url = {http://doi.acm.org/10.1145/3173574.3173620},
    doi = {10.1145/3173574.3173620},
    acmid = {3173620},
    publisher = {ACM},
    address = {New York, NY, USA},
    keywords = {augmented reality, avatar, awareness, gaze, gesture, mixed reality, redirected, remote collaboration, remote embodiment, virtual reality},
    }
    [download]
    We present Mini-Me, an adaptive avatar for enhancing Mixed Reality (MR) remote collaboration between a local Augmented Reality (AR) user and a remote Virtual Reality (VR) user. The Mini-Me avatar represents the VR user's gaze direction and body gestures while it transforms in size and orientation to stay within the AR user's field of view. A user study was conducted to evaluate Mini-Me in two collaborative scenarios: an asymmetric remote expert in VR assisting a local worker in AR, and a symmetric collaboration in urban planning. We found that the presence of the Mini-Me significantly improved Social Presence and the overall experience of MR collaboration.