Component Extraction and Motion Integration Test (CEMIT)

L Bowns1, W Beaudot2

1School of Psychology, The University of Nottingham, United Kingdom
2KyberVision, QC, Canada

Contact: l.bowns@nottingham.ac.uk

We have developed an App capable of measuring how well observers can extract components from a moving plaid and then reintegrate them, using a novel direction discrimination task (Bowns, 2012, Perception, (42), 98). Here we describe an App version of the test “CEMIT” that will be available for download from Apple AppStore for the iPhone, iPod touch, and iPad. An extended version of the test will also be available for research groups. We compare results obtained under strict laboratory conditions with those obtained from CEMIT. We also provide an example of how performance can reveal a deficit, and how performance changes dramatically at the limits. CEMIT will be an important resource for many researchers and clinicians where cortical visual problems have been implicated, e.g. dyslexia, Alzheimer’s disease, dementia, autism; or for screening purposes where visual information plays a very important role, e.g. drivers, pilots, or air traffic controllers. This test provides individual information at the neuronal level that no eye test or current scanning technique could access.

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