Accelerating Psychometric Screening Tests With Bayesian Active Differential Selection

• URL: http://arxiv.org/abs/2002.01547v1
• Date: Tue, 4 Feb 2020 21:35:03 GMT
• Title: Accelerating Psychometric Screening Tests With Bayesian Active Differential Selection
• Authors: Trevor J. Larsen, Gustavo Malkomes, Dennis L. Barbour
• Abstract summary: We propose a novel solution for rapid screening for a change in the psychometric function estimation of a given patient. We validate our approach using audiometric data from the National Institute of Occupational Safety and Health NIOSH.
• Score: 5.1779694507922835
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Classical methods for psychometric function estimation either require excessive measurements or produce only a low-resolution approximation of the target psychometric function. In this paper, we propose a novel solution for rapid screening for a change in the psychometric function estimation of a given patient. We use Bayesian active model selection to perform an automated pure-tone audiogram test with the goal of quickly finding if the current audiogram will be different from a previous audiogram. We validate our approach using audiometric data from the National Institute for Occupational Safety and Health NIOSH. Initial results show that with a few tones we can detect if the patient's audiometric function has changed between the two test sessions with high confidence.

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