Memory transmission in small groups and large networks: An empirical study

Area of Science:

• Cognitive Psychology
• Social Psychology
• Computational Modeling

Background:

• Collaborative inhibition describes the phenomenon where group recall is less effective than individual recall.
• Previous research on collaborative inhibition has been limited to small laboratory groups due to logistical challenges.
• An agent-based model predicted that collaborative inhibition intensifies with increasing group size.

Purpose of the Study:

• To empirically test the prediction that collaborative inhibition increases with group size.
• To investigate the dynamics of collaborative memory in large-scale groups.
• To evaluate the validity of a previously developed agent-based model of collaborative inhibition.

Main Methods:

• Recruited a large participant pool using crowdsourcing to enable large-scale collaborative memory research.
• Designed an experiment to directly measure collaborative inhibition across various group sizes.
• Utilized crowdsourcing to replace artificial agents in a computational model with human participants.

Main Results:

• Empirical results contradicted the model's prediction of increasing collaborative inhibition with group size.
• No significant evidence was found for an increase in collaborative inhibition as group size grew.
• The study possessed substantial statistical power to detect an increase if one existed.

Conclusions:

• The findings challenge the existing agent-based model's extrapolation of collaborative inhibition dynamics to large groups.
• Further empirical research is necessary to understand the underlying mechanisms of collaborative memory.
• The relationship between group size and collaborative memory performance requires re-examination.