Archive for October 2018

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[ecrea] Leverhulme PhD Studentship Awards: Augmented Reality in Computational

Thu Oct 25 14:26:07 GMT 2018






*Leverhulme PhD Studentship Awards:  Augmented Reality in Computational
Arts*

Applications are invited for a Leverhulme-funded PhD at the University
of Sussex (UK) in Multimodal Approaches to Augmented Reality in
Computational Arts.

Augmented reality (AR) technology is developing at speed, and
computational artists are beginning to experiment with new AR tools to
create new aesthetic experiences (Chevalier and Kiefer, 2018).
Conversely, computational arts provide a testing ground for creating
experimental scenarios that may provide new insights into the impact of
AR technologies on human perception and behaviour.  Early conceptions of
AR (a.g. Azuma, 1997) acknowledged the potential of rich multi-modal
approaches (e.g. sound, smell, touch).  Current consumer AR technology
shows a tendency towards  predominantly visual augmentation and towards
the provision of information, leaving a widely underexplored area that
focuses on rich multisensory perceptual mediation.  We welcome proposals
exploring augmented reality's new potential in the computational arts,
and finding new understanding of audience perception with AR tools.

Supervisors: Dr Chris Kiefer & Dr Cecile Chevalier
Deadline: 31st January 2019 <http://airmail.calendar/2019-01-31%2012:00:00%20GMT>, interviews 25-27 February 2019 <http://airmail.calendar/2019-02-25%2012:00:00%20GMT>.

This award is offered within the Leverhulme Sensation, Perception and
Awareness Doctoral Training Programme, that will support a total of 8
studentships starting in September 2019. PhD students will be registered
within one of the participating schools (Life Sciences, Informatics,
Psychology, Media Film & Music, and Brighton and Sussex Medical School).

For general information about the Leverhulme Sensation, Perception and
Awareness Doctoral Training Programme call, please check the following
pages:

https://www.findaphd.com/search/PhdDetails.aspx?CAID=3783.
https://www.sussex.ac.uk/sensation/applications.
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