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Optimal Questionnaires for Screening of Strategic Agents
October 28, 2020 Β· Declared Dead Β· π IEEE International Conference on Acoustics, Speech, and Signal Processing
"No code URL or promise found in abstract"
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Authors
Anuj S. Vora, Ankur A. Kulkarni
arXiv ID
2010.15008
Category
cs.IR: Information Retrieval
Cross-listed
cs.GT,
math.OC
Citations
5
Venue
IEEE International Conference on Acoustics, Speech, and Signal Processing
Last Checked
4 months ago
Abstract
During the COVID-$19$ pandemic the health authorities at airports and train stations try to screen and identify the travellers possibly exposed to the virus. However, many individuals avoid getting tested and hence may misreport their travel history. This is a challenge for the health authorities who wish to ascertain the truly susceptible cases in spite of this strategic misreporting. We investigate the problem of questioning travellers to classify them for further testing when the travellers are strategic or are unwilling to reveal their travel histories. We show there are fundamental limits to how many travel histories the health authorities can recover.% can be correctly classified by any probing mechanism.
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