|Evaluating the impact of sight loss on everyday tasks using augmented reality
|Assessments of functional vision loss due to eye diseases usually focus on low-level clinical assessments (standard automated perimetry; SAP) or high-level patient reported outcome measures (PROMS). PROMS are highly subjective though, while SAP doesn’t directly relate to “real world” problems that patients experience. The talk will describe an ongoing project that aims to find a middle ground: creating tests of functional vision that are both objective and quantifiable, but also directly assess “real world” vision related Quality of Life (QoL).
To that end we have constructed a range of simple household tasks that patients with eye diseases have reported having issues with and have devised means of quantifying performance on these tasks. To explore how different forms of visual impairment differentially affect performance on these tasks, we have also developed VARID (formerly OpenVisSim): an opensource AR/VR system capable of generating real-time, gaze-contingent simulations of various sight-loss symptoms, based on quantifiable clinical eye-test data (www.varid.co.uk). Notably, while many simulators use black spots to simulate scotomas, this is not in line with how patients perceive the scotomas themselves (https://doi.org/10.1016/j.ophtha.2012.11.043). VARID therefore uses a range of more complex image processing techniques, the details of which shall be presented (https://doi.org/10.1109/VAR4GOOD.2018.8576885).
|Mr. Peter Reddingius
University of London
|Short biography of speaker:
|Peter Reddingius is currently a second year PhD student at City, University of London, supervised by Dr. Pete R. Jones and Prof. David P. Crabb. He is working on several projects focusing on creating and assessing new ways of evaluating vision loss outside of the clinic. Before moving to London, he completed a Bachelor of Science at University College Roosevelt in Middelburg, The Netherlands, majoring in physics and cognitive neuroscience and a Master of Science at the University of Groningen in Groningen, The Netherlands, in human machine communication.