ML Anthology

THink: Inferring Cognitive Status from Subtle Behaviors

Randall Davis, David J. Libon, Rhoda Au, David Pitman, Dana L. Penney
AAAI 2014 pp. 2898-2905
doi:10.1609/AAAI.V28I2.19017 /aaai/2014/davis2014aaai-think/

Abstract

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 also 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.

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Text

Davis et al. "THink: Inferring Cognitive Status from Subtle Behaviors." AAAI Conference on Artificial Intelligence, 2014. doi:10.1609/AAAI.V28I2.19017

Markdown

[Davis et al. "THink: Inferring Cognitive Status from Subtle Behaviors." AAAI Conference on Artificial Intelligence, 2014.](https://mlanthology.org/aaai/2014/davis2014aaai-think/) doi:10.1609/AAAI.V28I2.19017

BibTeX

@inproceedings{davis2014aaai-think,
  title     = {{THink: Inferring Cognitive Status from Subtle Behaviors}},
  author    = {Davis, Randall and Libon, David J. and Au, Rhoda and Pitman, David and Penney, Dana L.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2014},
  pages     = {2898-2905},
  doi       = {10.1609/AAAI.V28I2.19017},
  url       = {https://mlanthology.org/aaai/2014/davis2014aaai-think/}
}