Abstract

The way in which human and non-human animals represent the shape of their environments remains a contentious issue. According to local theories of shape learning, organisms encode the local geometric features of the environment that signal a goal location. In contrast, global theories of shape learning suggest that organisms encode the overall shape of the environment. There is, however, a surprising lack of evidence to support this latter claim, despite the fact that common behaviours seem to require encoding of the global-shape of an environment. We tested one such behaviour in 5 experiments, in which human participants were trained to navigate to a hidden goal on one side of a virtual arena (e.g. the inside) before being required to find the same point on the alternative side (e.g. the outside). Participants navigated to the appropriate goal location, both when inside and outside the virtual arena, but only when the shape of the arena remained the same between training and test (Experiments 1a and 1b). When the arena shape was transformed between these stages, participants were lost (Experiments 2a and 2b). When training and testing was conducted on the outside of two different-shaped arenas that shared local geometric cues participants once again explored the appropriate goal location (Experiment 3). These results provide core evidence that humans encode a global representation of the overall shape of the environments in, or around, which they navigate.

Highlights

  • In order to navigate efficiently, organisms must maintain a sense of direction within the environment

  • For one-sample t-tests, we report the 95% confidence interval (CI) around the mean value observed for each experimental group, and for paired-samples t-tests we report the 95% CIs around the mean difference between two samples

  • Where data were subjected to analysis of variance (ANOVA), we used partial eta squared to estimate the size of significant effects, and we report confidence intervals around this effect size to communicate uncertainty in the data

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Summary

Introduction

In order to navigate efficiently, organisms must maintain a sense of direction within the environment. For nearly 30 years, there has been an ongoing and influential debate surrounding the manner in which human and non-human animals learn about the shape information that is provided by the boundary walls of an environment, and its relative importance in reorientation behaviour (for recent reviews see: Burgess, 2008; Jeffery, 2010; Pearce, 2009). Hermer & Spelke, 1994, 1996) and adult humans (Redhead & Hamilton, 2007, 2009) Whilst these findings demonstrate that the shape information provided by the boundary walls of an environment acts as a useful cue for reorientation, there has been considerable discussion about how animals encode shape information (for a review see: Cheng, Huttenlocher, & Newcombe, 2013)

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