Open AccessTHink: Inferring Cognitive Status from Subtle Behaviors
Author(s) -
Davis Randall,
Libon David J.,
Au Rhoda,
Pitman David,
Penney Dana L.
Publication year - 2015
Publication title -
ai magazine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 79
eISSN - 2371-9621
pISSN - 0738-4602
DOI - 10.1609/aimag.v36i3.2602
Subject(s) - set (abstract data type) , context (archaeology) , cognition , test (biology) , neuropsychology , computer science , process (computing) , outcome (game theory) , psychology , cognitive psychology , data science , neuroscience , paleontology , mathematics , mathematical economics , biology , programming language , operating system
The digital clock drawing test is a fielded application that provides a major advance over existing neuropsychological testing technology. It captures and analyzes high‐precision information about both outcome and process, opening up the possibility of detecting subtle cognitive impairment even when test results appear superficially normal. We describe the design and development of the test, document the role of AI in its capabilities, and report on its use over the past seven years. We outline its potential implications for earlier detection and treatment of neurological disorders. We set the work in the larger context of the THink project, which is exploring multiple approaches to determining cognitive status through the detection and analysis of subtle behaviors.