The interaction between map complexity and crowd movement on navigation decisions in virtual reality

Author:

Zhao Hantao1ORCID,Thrash Tyler123ORCID,Grossrieder Armin14,Kapadia Mubbasir5ORCID,Moussaïd Mehdi6ORCID,Hölscher Christoph1ORCID,Schinazi Victor R.17ORCID

Affiliation:

1. Chair of Cognitive Science, ETH Zürich, Zürich, Switzerland

2. Geographic Information Visualization and Analysis, University of Zürich, Zürich, Switzerland

3. Digital Society Initiative, University of Zürich, Zürich, Switzerland

4. School of Engineering, ZHAW, Winterthur, Switzerland

5. Department of Computer Science, Rutgers University, New Brunswick, NJ, USA

6. Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany

7. Institute of Cartography and Geoinformation, ETH Zürich, Zürich, Switzerland

Abstract

A carefully designed map can reduce pedestrians’ cognitive load during wayfinding and may be an especially useful navigation aid in crowded public environments. In the present paper, we report three studies that investigated the effects of map complexity and crowd movement on wayfinding time, accuracy and hesitation using both online and laboratory-based networked virtual reality (VR) platforms. In the online study, we found that simple map designs led to shorter decision times and higher accuracy compared to complex map designs. In the networked VR set-up, we found that co-present participants made very few errors. In the final VR study, we replayed the traces of participants’ avatars from the second study so that they indicated a different direction than the maps. In this scenario, we found an interaction between map design and crowd movement in terms of decision time and the distributions of locations at which participants hesitated. Together, these findings can help the designers of maps for public spaces account for the movements of real crowds.

Publisher

The Royal Society

Subject

Multidisciplinary

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