Adaptive group coordination and role differentiation.

Area of Science:

• Behavioral economics
• Social psychology
• Computational social science

Background:

• Most group research focuses on tasks with poor performance due to individual maximization or diffusion of responsibility.
• Successful tasks often involve propagating a single correct solution, unlike real-world scenarios requiring complementary contributions.

Purpose of the Study:

• Introduce a novel group task requiring complementary actions for a shared goal.
• Investigate adaptive coordination and performance improvement in human groups without communication.
• Analyze the impact of group size on coordination and role differentiation.

Main Methods:

• Participants submitted numbers to collectively sum to a target number without communication.
• Group feedback was provided, allowing members to adjust their submissions iteratively.
• Agent-based models were used to simulate and compare different adaptive strategies.

Main Results:

• Group performance improved with task experience, and group reactivity decreased over rounds.
• Larger groups exhibited spontaneous role differentiation and self-consistency as coordination costs increased.
• Empirical data best fit a flexible, adaptive agent strategy where reactions decrease with changing group feedback.

Conclusions:

• Human groups demonstrate adaptive coordination, improving performance and reducing reactivity with experience.
• Group size influences coordination strategies, leading to role differentiation in larger groups.
• The developed task serves as a platform for studying group coordination and maximizing collective returns.