A Double-Slit Experiment with Human Subjects
Principal Investigator(s): View help for Principal Investigator(s) John Duffy, University of California-Irvine; Ted Loch-Temzelides, Rice University
Version: View help for Version V4
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Project Citation:
Duffy, John, and Loch-Temzelides, Ted. A Double-Slit Experiment with Human Subjects. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-01-25. https://doi.org/10.3886/E120284V4
Project Description
Summary:
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We
study a sequence of “double-slit” experiments designed to perform repeated
measurements of an attribute in a large pool of subjects using Amazon’s Mechanical Turk. Our findings contrast
the prescriptions of decision theory in novel and interesting ways. The
response to an identical sequel measurement of the same attribute can be at
significant variance with the initial measurement. Furthermore, the response to
the sequel measurement depends on whether the initial measurement has taken
place. In the absence of the initial measurement, the sequel measurement
reveals additional variability, leading to a multimodal frequency distribution
reminiscent of an interference pattern, which is largely absent if the first
measurement has taken place.
Funding Sources:
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University of California-Irvine School of Social Sciences
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