Proceedings of the Annual Meeting of the Cognitive Science Society

Humans use a variety of strategies to reorient in space. There are diverging views on whether spatial reorientation relies on an encapsulated geometric module, an associative mechanism or an adaptive combination of different cues. We test these pro- posals with a computational model that predicts human behav- ior in reorientation. By analyzing existing data from multiple sources, we show evidence for an adaptive view of reorienta- tion that combines information from geometry, direction and language. Our work opens up opportunities to understand the interactive strategies of human reorientation.