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  Comparing Individual and Collaborative Problem Solving in Environmental Search

Keilmann, F., de la Rosa, S., Schwan, S., Cress, U., Mohler, B., Bülthoff, H., et al. (2017). Comparing Individual and Collaborative Problem Solving in Environmental Search. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.), Computational Foundations of Cognition (pp. 650-650). Austin, TX, USA: Cognitive Science Society.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0000-C39D-3 Version Permalink: https://hdl.handle.net/21.11116/0000-0000-C39F-1
Genre: Conference Paper

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 Creators:
Keilmann, F1, 2, Author           
de la Rosa, S1, 2, 3, Author           
Schwan, S, Author
Cress, U, Author
Mohler, BJ1, 4, 5, Author           
Bülthoff, HH1, 2, 6, Author           
Meilinger, T1, 2, 3, Author           
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
2Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
3Project group: Social & Spatial Cognition, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528706              
4Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497638              
5Research Group Space and Body Perception, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528693              
6Project group: Cybernetics Approach to Perception & Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528701              

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 Abstract: Collaborative spatial problem solving is an important yet not thoroughly examined task. Participants navigated individually and in dyads through virtual cities of varying complexity. They only saw the environment part visible from their current location from a bird’s eye view map perspective. We recorded missed target locations, overall trajectory length and search time per person until self-indicating whole coverage. Our results show a general increase in missed locations, trajectory length, and search time with the complexity of the environment. These increases differed due to individual and collaborative search. For complex, but not for simple environments individual participants navigated shorter distances, finished earlier, but also missed more target locations than when searching the same environments in collaboration. These results indicate that in complex environments collaborative search is less error prone than individual search, but takes longer. Such initial findings will constrain future theorizing about collaborative spatial problem solving.

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 Dates: 2017-07
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: BibTex Citekey: KeilmanndSCMBM2017
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Title: 39th Annual Meeting of the Cognitive Science Society (CogSci 2017)
Place of Event: London, UK
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Title: Computational Foundations of Cognition
Source Genre: Proceedings
 Creator(s):
Gunzelmann, G., Editor
Howes, A., Editor
Tenbrink, T., Editor
Davelaar, E., Editor
Affiliations:
-
Publ. Info: Austin, TX, USA : Cognitive Science Society
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 650 - 650 Identifier: ISBN: 978-0-9911967-6-0