Ontology highlight
ABSTRACT:
SUBMITTER: Kao AB
PROVIDER: S-EPMC5938592 | biostudies-literature | 2018 Apr
REPOSITORIES: biostudies-literature
Kao Albert B AB Berdahl Andrew M AM Hartnett Andrew T AT Lutz Matthew J MJ Bak-Coleman Joseph B JB Ioannou Christos C CC Giam Xingli X Couzin Iain D ID
Journal of the Royal Society, Interface 20180401 141
Aggregating multiple non-expert opinions into a collective estimate can improve accuracy across many contexts. However, two sources of error can diminish collective wisdom: individual estimation biases and information sharing between individuals. Here, we measure individual biases and social influence rules in multiple experiments involving hundreds of individuals performing a classic numerosity estimation task. We first investigate how existing aggregation methods, such as calculating the arith ...[more]