In many everyday situations, two or more people navigate collaboratively but their spatial knowledge does not necessarily overlap. However, most research to date, has investigated social wayfinding under either 1-sided or fully shared spatial information. Here, we present the pilot experiment of a novel, computerised, non-verbal experimental paradigm to study collaborative wayfinding under the face of spatial information uncertainty. Participants (N=32) learned two different neighbourhoods individually, and then navigated together as dyads (D=16), from one neighbourhood to the other. Our pilot results reveal that overall participants share navigational control, but are in control more when the task leads them to a familiar destination. We discuss the effects of spatial ability and motivation to lead, as well as the outlook of the paradigm.
@InProceedings{mavros_et_al:LIPIcs.COSIT.2022.25, author = {Mavros, Panagiotis and Kuliga, Saskia and Manley, Ed and Fitri, Hilal Rohaidi and Joos, Michael and H\"{o}lscher, Christoph}, title = {{Collaborative Wayfinding Under Distributed Spatial Knowledge}}, booktitle = {15th International Conference on Spatial Information Theory (COSIT 2022)}, pages = {25:1--25:10}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-257-0}, ISSN = {1868-8969}, year = {2022}, volume = {240}, editor = {Ishikawa, Toru and Fabrikant, Sara Irina and Winter, Stephan}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.COSIT.2022.25}, URN = {urn:nbn:de:0030-drops-169105}, doi = {10.4230/LIPIcs.COSIT.2022.25}, annote = {Keywords: navigation, wayfinding, collaboration, dyad, online} }
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