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.
