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  Structured, uncertainty-driven exploration in real-world consumer choice

Schulz, E., Bhui, R., Love, B., Brier, B., Todd, M., & Gershman, S. (2019). Structured, uncertainty-driven exploration in real-world consumer choice. Proceedings of the National Academy of Sciences of the United States of America, 116(28), 13903-13908. doi:10.1073/pnas.1821028116.

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Schulz, E1, Author              
Bhui, R, Author
Love, BC, Author
Brier, B, Author
Todd, MT, Author
Gershman, SJ, Author
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1External Organizations, ou_persistent22              

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 Abstract: Making good decisions requires people to appropriately explore their available options and generalize what they have learned. While computational models can explain exploratory behavior in constrained laboratory tasks, it is unclear to what extent these models generalize to real-world choice problems. We investigate the factors guiding exploratory behavior in a dataset consisting of 195,333 customers placing 1,613,967 orders from a large online food delivery service. We find important hallmarks of adaptive exploration and generalization, which we analyze using computational models. In particular, customers seem to engage in uncertainty-directed exploration and use feature-based generalization to guide their exploration. Our results provide evidence that people use sophisticated strategies to explore complex, real-world environments.

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 Dates: 2019-07
 Publication Status: Published in print
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1073/pnas.1821028116
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Title: Proceedings of the National Academy of Sciences of the United States of America
  Other : Proc. Acad. Sci. USA
  Other : Proc. Acad. Sci. U.S.A.
  Other : Proceedings of the National Academy of Sciences of the USA
  Abbreviation : PNAS
Source Genre: Journal
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Publ. Info: Washington, D.C. : National Academy of Sciences
Pages: - Volume / Issue: 116 (28) Sequence Number: - Start / End Page: 13903 - 13908 Identifier: ISSN: 0027-8424
CoNE: https://pure.mpg.de/cone/journals/resource/954925427230