LIPIcs.COSIT.2022.25.pdf
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Collaborative Wayfinding Under Distributed Spatial Knowledge (Short Paper)
Authors
Panagiotis Mavros 
,
Saskia Kuliga ,
Ed Manley ,
Christoph Hölscher
-
Part of:
Volume:
15th International Conference on Spatial Information Theory (COSIT 2022)
Series: Leibniz International Proceedings in Informatics (LIPIcs)
Conference: Conference on Spatial Information Theory (COSIT) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2022-08-22
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Author Details
- Singapore-ETH Centre, Future Cities Laboratory, CREATE campus, 1 CREATE Way, #06-01 CREATE Tower, 138602, Singapore
- Singapore-ETH Centre, Future Cities Laboratory, CREATE campus, 1 CREATE Way, #06-01 CREATE Tower, 138602, Singapore
- German Center for Neurodegenerative Diseases (DZNE) Witten site and Faculty of Health, University of Witten/Herdecke, 58453 Witten, Germany
Acknowledgements
We are grateful for the advice of Dr Iva Barisic on social wayfinding, and the support of the ETH Zürich Decision Science Lab team: Stefan Wehrli, Lea Imhof, and Salome Egli.
Cite As Get BibTex
Panagiotis Mavros, Saskia Kuliga, Ed Manley, Hilal Rohaidi Fitri, Michael Joos, and Christoph Hölscher. Collaborative Wayfinding Under Distributed Spatial Knowledge (Short Paper). In 15th International Conference on Spatial Information Theory (COSIT 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 240, pp. 25:1-25:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)
https://doi.org/10.4230/LIPIcs.COSIT.2022.25
Abstract
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.
Subject Classification
ACM Subject Classification
- Applied computing → Psychology
- General and reference → Experimentation
- General and reference → Empirical studies
Keywords
- navigation
- wayfinding
- collaboration
- dyad
- online
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References
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