[visionlist] PhD position at the University of Technology Sydney, Australia

Thu Apr 20 00:13:52 -05 2017

CSIRO Data61 and the Perceptual Imaging Laboratory (PILab), School of Computing and Communications, Faculty of Engineering and Information Technology, University of Technology Sydney is seeking applications from students wishing to undertake PhD studies in the area listed above.
Eligibility: Bachelor degree with honours in computer science, psychology, vision science or related field. Experience with computer graphics programming highly recommended.
Funding: Acceptance is contingent on the applicant successfully obtaining an appropriate Australian or International Scholarship such as the Australian Postgraduate Award (approx. $25,000-26,000 per annum). For further details see:  http://www.uts.edu.au/research-and-teaching/future-researchers/research-degrees-uts/research-scholarships
Supervisors: Dr Ulrich Engelke (CSIRO Data61) and A/Prof Stuart Perry (UTS)
Prospective applicants should include a CV and a short research statement describing why the candidate feels that they are a good match for the topic. The potential candidate should also provide a date of availability for interviewing and names and contact information of at least two references.
Contact Details: Please send expressions of interest to A/Prof Stuart Perry (Stuart.Perry at uts.edu.au).

Topic: Mixed Reality Scene Content Interaction
Augmented reality (AR) is predicted to become ubiquitous within the coming decade through rapid advances in smart wear, such as smart glasses. Mixed reality is the exciting extension of AR wherein the augmented content interacts with the real world in a seamless, effective fashion. People will become accustomed to spending a significant amount of their time in mixed reality environments and will depend on seamless access of information through augmentation into real world contexts. User experience (UX) needs to be optimised for such systems to be widely adopted but many challenges remain on how to effectively integrate augmented and real world information. This is especially true outside, where changes in the environment and the weather can create a wide range of unpredictable scenarios.
To fully understand the interaction of augmented and real visual information, carefully designed experiments are needed that address specific perception and user experience aspects. Such aspects may include the spatial distribution, colour rendition, brightness, and physical accuracy of augmented information in relation to the real world context. Questions about realism, perceptual accuracy, and overall user experience need to be addressed to define AR pipelines that perform effectively in given contexts.  Ultimately, such systems need to be able to adapt and transition smoothly between visual AR representations as context changes.
At CSIRO Data61, we are particularly interested in mixed reality applications for visualisation of scientific data using head mounted displays. The above perceptual aspects are playing a key role in conveying complex information effectively and with high user experience. We have a range of use cases that desire augmented visualisation of statistical information (InfoVis) as well as geospatial information (SciVis).
In this Ph.D. project, we aim to perform fundamental user studies that lead to a better understanding of the interaction between augmented and real visual information in a mixed reality context. Based on the findings, we will develop mixed reality solutions that are optimised and adaptive towards given contexts. The CSIRO use cases will provide valuable and exciting real-world contexts for evaluation of perceptual and user experience aspects.
Key research questions include:
*             How should the rendering of augmented reality content vary according to real world context to maximise visibility and utility of the information presented?
*             How should the rendering of augmented reality content vary according to changing conditions of light and weather to maximise the visibility and utility of the information presented?
*             How should user experience be managed in the context of mixed reality visualisation of complex scientific data sets?

Stuart Perry
Associate Professor, School of Computing and Communications
Faculty of Engineering and Information Technology | University of Technology Sydney
Building 11, Level 8, Room 217, 81 Broadway, Ultimo NSW 2007 (PO Box 123)
T +61 2 9514 7605 E Stuart.Perry at uts.edu.au<mailto:Stuart.Perry at uts.edu.au> W feit.uts.edu.au<http://www.feit.uts.edu.au/>

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