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Collaborative Spatial Search within Walkable Virtual Environments: the Influence of Global Reference Information

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Hanrieder,  M-R
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Kaiser,  K
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Hatzipanayioti,  A
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Mohler,  BJ
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Meilinger,  T
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Hanrieder, M.-R., Kaiser, K., Hatzipanayioti, A., Mohler, B., & Meilinger, T. (2018). Collaborative Spatial Search within Walkable Virtual Environments: the Influence of Global Reference Information. In A. Schütz, A. Schubö, D. Endres, & H. lachnit (Eds.), TeaP 2018: Abstracts of the 60th Conference of Experimental Psychologists (pp. 101). Lengerich, Germany: Pabst Science Publishers.


Cite as: http://hdl.handle.net/21.11116/0000-0001-8358-8
Abstract
Collaborative spatial search is an important task, for example, when firefighters or rescue teams search for victims within a building. In two experiments we examined the distinction between individual and collaborative search and the influence of common reference information on these two types of search. In Experiment 1, individuals and dyads were asked to walk through and fully cover virtual city environments of varied complexity displayed on head mounted displays. We recorded search time and missed locations. With increasing environmental size and resultant increasing memory load participants missed more target locations. Dyads showed longer added trajectories than individuals, but less self-overlap with their own trajectory (i.e., walking the same section multiple times). This suggests that the between-trajectories-overlap between searchers was responsible for the inefficient trajectories in collaborative search. In Experiment 2, we provided participants with a compass to facilitate organization of their searches. However, results were similar to those of Experiment 1. Mere orientation cues without a-priori environmental information seem insufficient to divide the search task and improve search performance.