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Vocalic Markers of Cognitive Load Derived from Automated Verbal Neuropsychological Assessment

The effort participants exert in order to complete a task provides the researcher with a rich understanding of their level of functioning. At AAIC 2019, we shared how to derive this cognitive load from voice recordings. 

Inferring cognitive load from voice: Enriching automated cognitive testing with vocalics

Traditional cognitive measures struggle to demonstrate when a participant is compensating for their deficits. At AD/PD 2019 we shared new data on how to overcome this issue: deriving cognitive load from voice data collected on participants’ own devices, and in their own homes.