Object weight can be rapidly predicted, with low cognitive load, by exploiting learned associations between the weights and locations of objects

Abstract

We use a novel object support task using a three-dimensional robotic interface and virtual reality system to provide evidence that the locations of objects are used to predict their weights. Using location information, rather than the visual appearance of the objects, supports fast prediction, thereby avoiding processes that can be demanding on working memory.