Active and passive exploration for spatial knowledge acquisition: A meta-analysis

Abstract

Literature reported mixed evidence on whether active exploration benefits spatial knowledge acquisition over passive exploration. Active spatial learning typically involves at least physical control of one’s movement or navigation decision-making, while passive participants merely observe during exploration. To quantify the effects of active exploration in learning large-scale, unfamiliar environments, we analysed previous findings with the multi-level meta-analytical model. Potential moderators were identified and examined for their contributions to the variability in effect sizes. Of the 128 effect sizes retrieved from 33 experiments, we observed a small to moderate advantage of active exploration over passive observation. Important moderators include gender composition, decision-making, types of spatial knowledge, and matched visual information. We discussed the implications of the results along with the limitations.