Novelty and uncertainty differentially drive exploration across development

Abstract

Across the lifespan, individuals frequently choose between exploiting known rewarding options or exploring unknown alternatives. A large body of work has suggested that children may explore more than adults. However, because novelty and reward uncertainty are often correlated, it is unclear how they differentially influence decision making across development. Here, children, adolescents, and adults (ages 8 - 27 years, N = 122) completed an adapted version of a recently developed value-guided decision-making task (Cockburn et al., 2022) that decouples novelty and uncertainty. In line with prior studies, we found that exploration decreased with increasing age. Critically, participants of all ages demonstrated a similar bias to select choice options with greater novelty, whereas aversion to reward uncertainty increased into adulthood. Computational modeling of participant choices revealed that whereas adolescents and adults demonstrated attenuated uncertainty aversion for more novel choice options, children’s choices were not influenced by reward uncertainty.

Authors 10

1. Kate Nussenbaum

   Princeton University · New York University

   Affiliation as printed

   New York University

   Princeton University

   . New York University

2. Rebecca Martin

   New York University · University of Pennsylvania

   Affiliation as printed

   . New York University

   . University of Pennsylvania

3. Sean Maulhardt

   New York University

   Affiliation as printed

   New York University

   . New York University

   . University of Maryland

4. Greer Bizzell-Hatcher
5. Naiti Sanjiv Bhatt

   New York University

   Affiliation as printed

   . New York University

6. Maximilian König Aachen

   Leiden University · New York University

   Affiliation as printed

   . Leiden University

   . New York University

7. Gail M. Rosenbaum

   Geisinger Health System · New York University

   Affiliation as printed

   . Geisinger Health System

   . New York University

8. John V. O’Doherty

   California Institute of Technology · New York University

   Affiliation as printed

   . Caltech

   . New York University

9. Jeffrey Cockburn

   California Institute of Technology

   Affiliation as printed

   . Caltech

10. Catherine A. Hartley

    New York University

    Affiliation as printed

    . New York University