Abstract
How effective groups are in making decisions is a long-standing question in studying human and animal behaviour. Despite the limited social and cognitive abilities of younger people, skills which are often required for collective intelligence, studies of group performance have been limited to adults. Using a simple task of estimating the number of sweets in jars, we show in two experiments that adolescents at least as young as 11 years old improve their estimation accuracy after a period of group discussion, demonstrating collective intelligence. Although this effect was robust to the overall distribution of initial estimates, when the task generated positively skewed estimates, the geometric mean of initial estimates gave the best fit to the data compared to other tested aggregation rules. A geometric mean heuristic in consensus decision making is also likely to apply to adults, as it provides a robust and well-performing rule for aggregating different opinions. The geometric mean rule is likely to be based on an intuitive logarithmic-like number representation, and our study suggests that this mental number scaling may be beneficial in collective decisions.
Highlights
Making decisions in groups can greatly improve cognitive performance [1]
The majority of participants improved their estimate when giving their group consensus estimate compared to their initial estimate (96 participants reduced errors, while errors did not change or increased for 51 participants; Fig 1b)
Group performance in adolescents adults [22], and we find that groups with a greater range in initial estimates shifted more from the mean of their estimates when giving their group estimate
Summary
Making decisions in groups can greatly improve cognitive performance [1] This effect is of widespread interest in psychology, management and political science, partly due to the importance of social interactions in society from small everyday decisions to governmental panels deciding issues of policy [2]. Studies in this area of research range from exploring optimal methods to statistically aggregate large samples of estimates [3], to how individuals use information from others [4], to decision making in groups of freely interacting individuals [5].
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.