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arXiv · 2002.01547

Accelerating Psychometric Screening Tests With Bayesian Active Differential Selection

Trevor J. Larsen·Gustavo Malkomes·Dennis L. Barbour
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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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Trevor J. Larsen, Gustavo Malkomes, Dennis L. Barbour. 2020-02-04. Accelerating Psychometric Screening Tests With Bayesian Active Differential Selection. https://arxiv.org/abs/2002.01547

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