TY - JOUR
T1 - Memory transmission in small groups and large networks
T2 - An empirical study
AU - Gates, Vael
AU - Suchow, Jordan W.
AU - Griffiths, Thomas L.
N1 - Publisher Copyright:
© 2021, The Psychonomic Society, Inc.
PY - 2022/4
Y1 - 2022/4
N2 - When people try to remember information in a group, they often recall less than if they were recalling alone. This finding is called collaborative inhibition, and has been studied primarily in small groups because of the difficulty of bringing large groups into the laboratory. To study the dynamics of collaborative inhibition in large groups (Luhmann & Rajaram, Psychological Science, 26, 1909–1917, 2015) constructed an agent-based model that extrapolated from previous laboratory experiments with small groups. The model predicts that collaborative inhibition should increase with group size. Here, we evaluate this model by recruiting a large number of participants using crowdsourcing, allowing us to replace the artificial agents in the model with people to study collaborative memory at larger scales. Our empirical results did not match the model predictions: there was no evidence for an increase in collaborative inhibition with group size, despite substantial power to detect such an effect. These findings motivate further empirical work to elucidate the mechanisms of collaborative memory.
AB - When people try to remember information in a group, they often recall less than if they were recalling alone. This finding is called collaborative inhibition, and has been studied primarily in small groups because of the difficulty of bringing large groups into the laboratory. To study the dynamics of collaborative inhibition in large groups (Luhmann & Rajaram, Psychological Science, 26, 1909–1917, 2015) constructed an agent-based model that extrapolated from previous laboratory experiments with small groups. The model predicts that collaborative inhibition should increase with group size. Here, we evaluate this model by recruiting a large number of participants using crowdsourcing, allowing us to replace the artificial agents in the model with people to study collaborative memory at larger scales. Our empirical results did not match the model predictions: there was no evidence for an increase in collaborative inhibition with group size, despite substantial power to detect such an effect. These findings motivate further empirical work to elucidate the mechanisms of collaborative memory.
KW - Agent-based modeling
KW - Collaborative inhibition
KW - Collaborative memory
KW - Crowdsourcing
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UR - http://www.scopus.com/inward/citedby.url?scp=85118133325&partnerID=8YFLogxK
U2 - 10.3758/s13423-021-02021-9
DO - 10.3758/s13423-021-02021-9
M3 - Article
C2 - 34713411
AN - SCOPUS:85118133325
SN - 1069-9384
VL - 29
SP - 581
EP - 588
JO - Psychonomic Bulletin and Review
JF - Psychonomic Bulletin and Review
IS - 2
ER -