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Comparison of view-based and reconstruction-based models of human navigational strategy

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Gootjes-Dreesbach, L., Pickup, L. C., Fitzgibbon, A. W. and Glennerster, A. (2017) Comparison of view-based and reconstruction-based models of human navigational strategy. Journal of Vision, 17 (9). 11. ISSN 1534-7362

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To link to this item DOI: 10.1167/17.9.11

Abstract/Summary

There is good evidence that simple animals such as bees use view-based strategies to return to a familiar location but humans could use a 3D reconstruction to achieve the same goal. Assuming some noise in the storage and retrieval process, these two types of strategy give rise to different patterns of predicted errors in homing. We describe an experiment that can help distinguish between these models. Participants wore a head mounted display to carry out a homing task in immersive virtual reality. They viewed three long thin vertical poles and had to remember where they were in relation to the poles before being transported (virtually) to a new location in the scene from where they had to walk back to the original location. The experiment was conducted in both a rich-cue scene (a furnished room) and a sparse scene (no background and no floor or ceiling). As one would expect, in a rich-cue environment the overall error was smaller and in this case the ability to separate the models was reduced. However, for the sparse-cue environment the view-based model outperforms the reconstruction-based model. Specifically, the likelihood of the experimental data is similar to the likelihood of samples drawn from the view-based model (but assessed under both models) while this is not true for samples drawn from the reconstruction-based model.

Item Type:Article
Refereed:Yes
Divisions:Interdisciplinary centres and themes > Centre for Integrative Neuroscience and Neurodynamics (CINN)
Faculty of Life Sciences > School of Psychology and Clinical Language Sciences > Department of Psychology
Faculty of Life Sciences > School of Psychology and Clinical Language Sciences > Neuroscience
Interdisciplinary centres and themes > Centre for Cognition Research (CCR)
Faculty of Life Sciences > School of Psychology and Clinical Language Sciences > Perception and Action
ID Code:72081
Publisher:ARVO

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