Spatial learning using Google Streetview in an online wayfinding task

Vanessa Joy A. Anacta

doi:10.25304/rlt.v32.3067

Vanessa Joy A. Anacta Department of Geography, University of the Philippines, Diliman, Quezon City, Philippines https://orcid.org/0000-0002-6224-8541

DOI: https://doi.org/10.25304/rlt.v32.3067

Keywords: wayfinding, Google Streetview, geospatial learning, route instructions, sketch maps

Abstract

The use of navigation applications changed the way people find their way in an unfamiliar environment. A combination of maps, images and textual route instructions shown (or with audio) on one screen guides the user to the destination but may sometimes be overwhelming. This article investigated the spatial knowledge participants acquired after being presented with different types of route instructions, human and computer-generated, in an online wayfinding task using Google Streetview (without the 2D map) of an unfamiliar environment. The results showed a significant difference in the wayfinding performance for deviations from computer-generated instructions, whilst there was no difference in the time spent and the scene recall. Sketch maps revealed both route-like and survey-like characteristics. But most sketch maps are characterised by high route-likeness. Furthermore, this study showed a significant effect of the environmental layout on the participant’s performance based on deviations incurred during wayfinding. The results of this study have implications for improving navigation system instructions and design as well as for learning with geospatial technologies.

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References

Antrobus, V., Burnett, G. & Krehl, C. (2017). Driver-passenger collaboration as a basis for human-machine interface design for vehicle navigation systems. Ergonomics, 60(3), 321–332. https://doi.org/10.1080/00140139.2016.1172736

Billinghurst, M. & Weghorst, S. (1995). The use of sketch maps to measure cognitive maps of virtual environments. Proceedings Virtual Reality Annual International Symposium, 95, 40–47. https://doi.org/10.1109/VRAIS.1995.512478

Bruns, C. R., & Chamberlain, B. C. (2019). The influence of landmarks and urban form on cognitive maps using virtual reality. Landscape and Urban Planning, 189, 296–306. https://doi.org/10.1016/j.landurbplan.2019.05.006

Carbonell-Carrera, C. & Saorín, J. L. (2017). Geospatial Google Street View with virtual reality: A motivational approach for spatial training education. ISPRS International Journal of Geo-Information, 6(9), 261. https://doi.org/10.3390/ijgi6090261

Carbonell-Carrera, C., & Saorin, J. L. (2018). Virtual learning environments to enhance spatial orientation. Eurasia Journal of Mathematics, Science and Technology Education, 13(3), 709–719. https://doi.org/10.12973/ejmste/79171

Chou, C., Wu, C. J. & Lay, J. G. (2015). Way-finding test using google street view: A pilot study on spatial cognition. In ACRS 2015 – 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings, Asian Association on Remote Sensing (AARS), Quezon City, Metro Manila Philippines, 24–28 October 2015.

Golledge, R. G. (2002). The nature of geographic knowledge. Annals of the Association of American Geographers, 92(1), 1–14. https://doi.org/10.1111/1467-8306.00276

Hagge, P. (2021). Student perceptions of semester-long in-class virtual reality: Effectively using “Google Earth VR” in a higher education classroom. Journal of Geography in Higher Education, 45(3), 342–360. https://doi.org/10.1080/03098265.2020.1827376

Jackson, P. G. (1998). In search of better route guidance instructions. Ergonomics, 41(7), 1000–1013. https://doi.org/10.1080/001401398186559

Jansen-Osmann, P., Schmid, J. & Heil, M. (2007). Spatial knowledge of adults and children in a virtual environment: The role of environmental structure. European Journal of Developmental Psychology, 4(3), 251–272. https://doi.org/10.1080/17405620600662647

Kraemer, D. J. M. et al. (2017). Verbalizing, visualizing, and navigating: The effect of strategies on encoding a large-scale virtual environment. Journal of Experimental Psychology. Learning, Memory, and Cognition, 43(4), 611–621. https://doi.org/10.1037/xlm0000314

Krukar, J., Anacta, V. J. & Schwering, A. (2020). The effect of orientation instructions on the recall and reuse of route and survey elements in wayfinding descriptions. Journal of environmental psychology, 68, 101407.

Lander, C. et al. (2017). Inferring landmarks for pedestrian navigation from mobile eye-tracking data and Google Street View. Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, pp. 2721–2729. https://doi.org/10.1145/3027063.3053201

Liao, H. et al. (2017). Exploring differences of visual attention in pedestrian navigation when using 2D maps and 3D geo-browsers. Cartography and Geographic Information Science, 44(6), 474–490. https://doi.org/10.1080/15230406.2016.1174886

Lokka, I. E. et al. (2018). Virtual environments as memory training devices in navigational tasks for older adults. Scientific Reports, 8(1), 10809. https://doi.org/10.1038/s41598-018-29029-x

Löwen, H., Krukar, J., & Schwering, A. (2019). Spatial learning with orientation maps: The influence of different environmental features on spatial knowledge acquisition. ISPRS International Journal of Geo-Information, 8(3), 149. https://doi.org/10.3390/ijgi8030149

Montello, D. R. (2009). Cognitive research in GIScience: Recent achievements and future prospects. Geography Compass, 3(5), 1824–1840. https://doi.org/10.1111/j.1749-8198.2009.00273.x

Montello, D. R. & Freundschuh, S. (2005). Cognition of geographic information. In R. B. McMaster & E. L. Usery (Eds.), A Research agenda for geographic information science. Boca Raton, FL: CRS Press, 61–91.

Münzer, S. & Hölscher, C. (2011). Entwicklung und Validierung eines Fragebogens zu räumlichen Strategien. Diagnostica, 57(3), 111–125. https://doi.org/10.1026/0012-%0A1924/

Nevelsteen, K. (2013). Attention allocation of traffic environments of international visitors during virtual city walks. In P. Kiefer, I. Giannopoulos, M. Raubal & M. Hegarty (Eds), Eye Tracking for Spatial Research, Proceedings of the 1st International Workshop (in conjunction with COSIT 2013), Scarborough, United Kingdom, 2 September 2013.

Sandamas, G. & Foreman, N. (2007). Drawing maps and remembering landmarks after driving in a virtual small town environment. Journal of Maps, 3(1), 35–45. https://doi.org/10.1080/jom.2007.9710825

Savino, G.-L. et al. (2019). Comparing pedestrian navigation methods in virtual reality and real life. In 2019 International Conference on Multimodal Interaction, Suzhou, Jiangsu, China, pp. 16–25, 14–18 October 2019.

Schmidt, M. A. R., Delazari, L. S. & Mendonça, A. A. (2012). AvaliaÃ§Ã\poundso de mapas topogrÃ!`ficos 3D para navegaÃ§Ã\poundso virtual. Boletim de CiÃ\textordfemeninencias GeodÃ\copyrightsicas, 18, 532–548. Retrieved from http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1982-21702012000400002&nrm=iso

Schwarzkopf, S. et al. (2013). What lab eye tracking tells us about wayfinding. A comparison of stationary and mobile eye tracking in a large building scenario. In P. Kiefer, et al. (Eds.), ET4S : Eye Tracking for Spatial Research : Proceedings of the 1st International Workshop in conjunction with COSIT 2013, pp. 31–36, 1st International Workshop Eye Tracking for Spatial Research (ET4S) in conjunction with COSIT 2013, Scarborough, United Kingdom, 2 September 2013.