176
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Investigating the relationship between spatial skills and web mapping application performance among university students

ORCID Icon, ORCID Icon, , ORCID Icon, ORCID Icon, , ORCID Icon, & ORCID Icon show all
Pages 515-530 | Received 09 Nov 2022, Accepted 08 Jun 2023, Published online: 20 Jul 2023

References

  • Allen, G. L. (2003). Functional families of spatial abilities: Poor relations and rich prospects. International Journal of Testing, 3(3), 251–262. https://doi.org/10.1207/S15327574IJT0303_4
  • Allen, G. L., Kirasic, K. C., Dobson, S. H., Long, R. G., & Beck, S. (1996). Predicting environmental learning from spatial abilities: An indirect route. Intelligence, 22(3), 327–355. https://doi.org/10.1016/S0160-2896(96)90026-4
  • Andri, S. (2022). DescTools: Tools for Descriptive Statistics. R package version 0.99.45. https://cran.r-project.org/package=DescTools
  • Bosco, A., Longoni, A. M., & Vecchi, T. (2004). Gender effects in spatial orientation: Cognitive profiles and mental strategies. Applied Cognitive Psychology, 18(5), 519–532. https://doi.org/10.1002/acp.1000
  • Brooke, J. (1996). SUS: A “quick and dirty” usability scale. In P. W. Jordan, B. Thomas, I. L. McClelland, & B. Weerdmeester (Eds.), Usability evaluation in industry. CRC Press. https://doi.org/10.1201/9781498710411
  • Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies. Cambridge University Press. https://doi.org/10.1017/CBO9780511571312
  • Çöltekin, A., Francelet, R., Richter, K.-F., Thoresen, J., & Fabrikant, S. I. (2018). The effects of visual realism, spatial abilities, and competition on performance in map-based route learning in men. Cartography and Geographic Information Science, 45(4), 339–353. https://doi.org/10.1080/15230406.2017.1344569
  • Ekstrom, R. B., French, J. W., Harman, H., & Dermen, D. (1978). Κit of factor referenced cognitive tests. Educational Testing Service. https://apps.dtic.mil/sti/pdfs/AD0410915.pdf
  • Evans, G. W., Skorpanich, M. A., Bryant, K. J., & Bresolin, B. (1984). The effects of pathway configuration, landmarks and stress on environmental cognition. Journal of Environmental Psychology, 4(4), 323–335. https://doi.org/10.1016/S0272-4944(84)80003-1
  • Fuest, S., Li, R., & Schwering, A. (2015) Navigating on web maps: Route characteristics and performance. Proceedings of the 18th AGILE Conference on Geographic Information Science (Short Papers). https://www.ikg.uni-hannover.de/fileadmin/ikg/Forschung/publications/NavigatingOnWebMaps.pdf
  • Geyer, N. R., Kessler, F. C., & Lengerich, E. J. (2020). LionVu 2.0 usability assessment for Pennsylvania, United States. ISPRS International Journal of Geo-Information, 9(11), 619. https://doi.org/10.3390/ijgi9110619
  • Gómez Solórzano, L. S., Comíns, J. S., & Bosque Sendra, J. (2017). Atlas design: A usability approach for the development and evaluation of cartographic products. The Cartographic Journal, 54(4), 343–357. https://doi.org/10.1080/00087041.2017.1393189
  • Guilford, J. P. (1956). The Guilford-Zimmerman aptitude survey. Personnel & Guidance Journal, 35(4), 219–223. https://doi.org/10.1002/j.2164-4918.1956.tb01745.x
  • Haciomeroglu, E. (2015). The role of cognitive ability and preferred mode of processing in students’ calculus performance. EURASIA Journal of Mathematics, Science & Technology Education, 11(5), 1165–1179. https://doi.org/10.12973/eurasia.2015.1400a
  • Hegarty, M., Montello, D., Richardson, A., Ishikawa, T., & Lovelace, K. (2006). Spatial abilities at different scales: Individual differences in aptitude-test performance and spatial-layout learning. Intelligence, 34(2), 151–176. https://doi.org/10.1016/j.intell.2005.09.005
  • Hegarty, M., Richardson, A. E., Montello, D. R., Lovelace, K., & Subbiah, I. (2002). Development of a self-report measure of environmental spatial ability. Intelligence, 30(5), 425–447. https://doi.org/10.1016/S0160-2896(02)00116-2
  • Hegarty, M., Stieff, M., & Dixon, B. (2015). Reasoning with diagrams: Towards a broad ontology of spatial thinking strategies. In D. R. Montello, K. E. Grossner, & D. G. Janelle (Eds.), Space in mind: Concepts for spatial learning and education (pp. 75–98). MIT Press. https://doi.org/10.7551/mitpress/9811.003.0005
  • Henn, P., Gallagher, A. G., Nugent, E., Seymour, N. E., Haluck, R. S., Hseino, H., Traynor, O., & Neary, P. C. (2018). Visual spatial ability for surgical trainees: Implications for learning endoscopic, laparoscopic surgery and other image-guided procedures. Surgical Endoscopy, 32(8), 3634–3639. https://doi.org/10.1007/s00464-018-6094-3
  • Hund, A. M., Haney, K. H., & Seanor, B. D. (2008). The role of recipient perspective in giving and following wayfinding directions. Applied Cognitive Psychology, 22(7), 896–916. https://doi.org/10.1002/acp.1400
  • Jacobson, D., Kitchin, R., Gärling, T., Golledge, R., & Blades, M. (1998). Learning a complex urban route without sight: Comparing naturalistic versus laboratory measures. International Conference of the Cognitive Science Society of Ireland, Mind III. https://mural.maynoothuniversity.ie/7244/1/Learning.
  • Kalun, P., Dunn, K., Wagner, N., Pulakunta, T., & Sonnadara, R. (2020). Recent evidence on visual-spatial ability in surgical education: A scoping review. Canadian Medical Education Journal, 11(6), e111–e127. https://doi.org/10.36834/cmej.69051
  • Kassambara, A. (2022). Package ‘rstatix’. Pipe-Friendly Framework for Basic Statistical Tests. https://rpkgs.datanovia.com/rstatix/
  • Khan, Z. A., & Adnan, M. (2010). Usability evaluation of web-based GIS applications: A comparative study of Google Maps and MapQuest [ Master’s Thesis]. School of Computing, Blekinge Institute of Technology. https://bth.diva-portal.org/smash/record.jsf?pid=diva2%3A832106&dswid=1249
  • Kitchin, R., & Blades, M. (Eds.). (2002). The cognition of geographic space. IB Tauris Publishers. https://doi.org/10.5040/9780755620951
  • Kong, N., Zhang, T., & Stonebraker, I. (2014). Common metrics for web-based mapping applications in academic libraries. Online Information Review, 38(7), 918–935. https://doi.org/10.1108/OIR-06-2014-0140
  • Koua, E. L., MacEachren, A., & Kraak, M. -J. (2006). Evaluating the usability of visualization methods in an exploratory geovisualization environment. International Journal of Geographical Information Science, 20(4), 425–448. https://doi.org/10.1080/13658810600607550
  • Kozhevnikov, M., & Hegarty, M. (2001). A dissociation between object manipulation spatial ability and spatial orientation ability. Memory & Cognition, 29(5), 745–756. https://doi.org/10.3758/BF03200477
  • Kyritsis, M., & Gulliver, S. (2009). Gilford Zimmerman orientation survey: A validation. 2009 7th International Conference on Information, Communications and Signal Processing (ICICS) (pp. 1–4). IEEE. https://doi.org/10.1109/ICICS.2009.5397592
  • Lewis, J. R. (1995). IBM computer usability satisfaction questionnaires: psychometric evaluation and instructions for use. International Journal of Human–Computer Interaction, 7(1), 57–78. https://doi.org/10.1080/10447319509526110
  • Linn, M. C., & Petersen, A. C. (1985). Emergence and characterization of sex differences in spatial ability: A meta-analysis. Child Development, 56(6), 1479–1498. https://doi.org/10.2307/1130467
  • Lorenz, C. A. (1988). The structure of the spatial domain: An analysis of individual differences [ Doctoral dissertation]. Cornell University.
  • Lorenz, C. A., & Neisser, U. (1986). Ecological and psychometric dimensions of spatial ability (Technical Report No. 10). Department of Psychology, Emory University.
  • Lowrie, T., Logan, T., & Hegarty, M. (2019). The influence of spatial visualization training on students’ spatial reasoning and mathematics performance. Journal of Cognition and Development, 20(5), 729–751. https://doi.org/10.1080/15248372.2019.1653298
  • MacPherson-Krutsky, C. C., Brand, B. D., & Lindell, M. K. (2020). Does updating natural hazard maps to reflect best practices increase viewer comprehension of risk? International Journal of Disaster Risk Reduction, 46, 101487. https://doi.org/10.1016/j.ijdrr.2020.101487
  • McGee, M. G. (1979). Human spatial abilities: Psychometric studies and environmental, genetic, hormonal, and neurological influences. Psychological Bulletin, 86(5), 889–918. https://doi.org/10.1037/0033-2909.86.5.889
  • McGuinness, C. (1994). Expert/Novice use of visualization tools. In A. M. MacEachren & D. R. F. Taylor (Eds.), Visualization in modern cartography (pp. 185–199). Pergamon. https://doi.org/10.1016/B978-0-08-042415-6.50017-X
  • Michon, P. E., & Denis, M. (2001). When and why are visual landmarks used in giving directions? In D. R. Montelo (Ed.), Spatial Information Theory. COSIT 2001, lecture notes in computer science (Vol. 2205, pp. 292–305). Springer. https://doi.org/10.1007/3-540-45424-1_20
  • Montello, D. R. (1993). Scale and multiple psychologies of space. In A. U. Frank & L. Campari (Eds.), Spatial information theory: A theoretical basis for GIS, COSIT 1993, lecture notes in computer science (Vol. 716, pp. 312–321). Springer. https://doi.org/10.1007/3-540-57207-4_21
  • National Research Council. (2006). Learning to think spatially. The National Academies Press. https://doi.org/10.17226/11019
  • Nivala, A.-M., Brewster, S., & Sarjakoski, T. L. (2008). Usability evaluation of web mapping sites. The Cartographic Journal, 45(2), 129–138. https://doi.org/10.1179/174327708X305120
  • Ormand, C. J., Manduca, C., Shipley, T. F., Tikoff, B., Harwood, C. L., Atit, K., & Boone, A. P. (2014). Evaluating geoscience students’ spatial thinking skills in a multi-institutional classroom study. Journal of Geoscience Education, 62(1), 146–154. https://doi.org/10.5408/13-027.1
  • Patil, I. (2021). Visualizations with statistical details: The ‘ggstatsplot’ approach. Journal of Open Source Software, 6(61), 3167. https://doi.org/10.21105/joss.03167
  • Piccardi, L., Berthoz, A., Baulac, M., Denos, M., Dupont, S., Samson, S., & Guariglia, C. (2010). Different spatial memory systems are involved in small- and large-scale environments: Evidence from patients with temporal lobe epilepsy. Experimental Brain Research, 206(2), 171–177. https://doi.org/10.1007/s00221-010-2234-2
  • Prensky, M. (2001). Digital natives, digital immigrants part 1. On the Horizon, 9(5), 1–6. https://doi.org/10.1108/10748120110424816
  • R Core Team: R. (2021). A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org
  • Rizopoulos, D. (2006). ltm: An R package for latent variable modelling and item response theory analyses. Journal of Statistical Software, 17(5), 1–25. https://doi.org/10.18637/jss.v017.i05
  • Roth, R. E. (2013). Interactive maps: What we know and what we need to know. Journal of Spatial Information Science, 6(6), 59–115. https://doi.org/10.5311/JOSIS.2013.6.105
  • Roth, R. E., Çöltekin, A., Delazari, L., Fonseca Filho, H., Griffin, A., Hall, A., Korpi, J., Lokka, I., Mendonça, A., Ooms, K., & van Elzakker, C. P. J. M. (2017). User studies in cartography: Opportunities for empirical research on interactive maps and visualizations. International Journal of Cartography, 3(1), 61–89. https://doi.org/10.1080/23729333.2017.1288534
  • Sanchez, C. A., & Branaghan, R. J. (2009). The interaction of map resolution and spatial abilities on map learning. International Journal of Human-Computer Studies, 67(5), 475–481. https://doi.org/10.1016/j.ijhcs.2008.12.003
  • Sas, C., & Mohd Noor, N. (2009). A meta-analysis on the correlation between measurements of spatial tasks and standardized tests of environmental spatial abilities. Cognitive Processing, 10(Suppl S2), 297–301. https://doi.org/10.1007/s10339-009-0315-6
  • Schneider, W. J., & McGrew, K. S. (2012). The cattell-horn-carroll model of intelligence. In D. P. Flanagan & P. L. Harrison, (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (pp. 99–144). The Guilford Press. http://www.iapsych.com/articles/schneider2012.pdf
  • Sholl, M. J., Acacio, J. C., Makar, R. O., & Leon, C. (2000). The relation of sex and sense of direction to spatial orientation in an unfamiliar environment. Journal of Environmental Psychology, 20(1), 17–28. https://doi.org/10.1006/jevp.1999.0146
  • Skarlatidou, A., & Haklay, M. (2006) Public web mapping: Preliminary usability evaluation. GIS Research UK 2006. https://discovery.ucl.ac.uk/id/eprint/16228/1/16228.pdf
  • Slocum, T. A., Cliburn, D. C., Feddema, J. J., & Miller, J. R. (2003). Evaluating the usability of a tool for visualizing the uncertainty of the future global water balance. Cartography and Geographic Information Science, 30(4), 299–317. https://doi.org/10.1559/152304003322606210
  • Stanton, E. (2007). The human development index: A history,(Working Papers Series No. 1270). Political Economy Research Institute, University of Massachusetts at Amherst. https://ideas.repec.org/p/uma/periwp/wp127.html.
  • Stehlíková, J., Řezníková, H., Kočová, H., & Stachoň, Z. (2015). Visualization problems in worldwide map portals. In J. Brus, A. Vondrakova, & V. Vozenilek (Eds.), Modern trends in cartography (pp. 213–225). Springer Cham. https://doi.org/10.1007/978-3-319-07926-4_17
  • Taylor, H. A., & Tversky, B. (1992). Spatial mental models derived from survey and route descriptions. Journal of Memory and Language, 31(2), 261–292. https://doi.org/10.1016/0749-596X9290014-O
  • Taylor, H. A., & Tversky, B. (1996). Perspective in spatial descriptions. Journal of Memory and Language, 35(3), 371–391. https://doi.org/10.1006/jmla.1996.0021
  • Teo, T. (2013). An initial development and validation of a Digital Natives Assessment Scale (DNAS). Computer & Education, 67, 51–57. https://doi.org/10.1016/j.compedu.2013.02.012
  • Thanachan, P., & Jiamsanguanwong, A. (2016). Comparative usability evaluation of mobile map applications. Proceedings of 2016 6th International Workshop on Computer Science and Engineering. https://doi.org/10.18178/wcse.2016.06.005
  • Thorndyke, P. W., & Stasz, C. (1980). Individual differences in procedures for knowledge acquisition from maps. Cognitive Psychology, 12(1), 137–175. https://doi.org/10.1016/0010-02858090006-7
  • Vandenberg, S. G., & Kuse, A. R. (1978). Mental rotations, a group test of three-dimensional spatial visualization. Perceptual and Motion Skills, 47(2), 599–604. https://doi.org/10.2466/pms.1978.47.2.599
  • Wachowicz, M., Cui, L., Vullings, W., & Bulens, J. (2008). The effects of web mapping applications on user satisfaction: An empirical study. In M. P. Peterson (Ed.), International perspectives on maps and the Internet (pp. 397–415). Springer Berlin Heidelberg.
  • Wang, C. (2014). Usability evaluation of public web mapping sites. Proceedings of the ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Copernicus GmbH, (Vol. XL-4, pp. 285–289). https://doi.org/10.5194/isprsarchives-XL-4-285-2014
  • Wang, L., Cohen, A., & Carr, M. (2014). Spatial ability at two scales of representation: A meta-analysis. Learning and Individual Differences, 36(1), 140–144. https://doi.org/10.1016/j.lindif.2014.10.006
  • Warnes, G. R., Bolker, B., Gorjanc, G., Grothendieck, G., Korosec, A., Lumley, T., MacQueen, D., Magnusson, A., & Rogers, J. (2022). ‘gdata’: Various R programming tools for data manipulation (Version 2.18.0.1). https://CRAN.R-project.org/package=gdata
  • Wei, T., & Simko, V. (2021). R package ‘corrplot’: Visualization of a correlation matrix (Version 0.92). https://github.com/taiyun/corrplot
  • Wickham, H. (2016). Ggplot2: Elegant graphics for data analysis. Springer. https://doi.org/10.1007/978-3-319-24277-4
  • Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L. D., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., Kuhn, M., Pedersen, T. L., Miller, E., Bache, S. M., Müller, K., Ooms, J., Robinson, D., Seidel, D. P. … Yutani, H. (2019). Welcome to the tidyverse. Journal of Open Source Software, 4(43), 1686. https://doi.org/10.21105/joss.01686
  • Wickham, H., François, R., Henry, L., & Müller, K. (2022). dplyr: A grammar of data manipulation. https://dplyr.tidyverse.org
  • Wilkening, J., & Fabrikant, S. I. (2011). The effect of gender and spatial abilities on map use preferences and performance in road selection tasks. Proceedings of the 25th International Cartographic Conference Paris 3-8 July 2011. ICC. https://icaci.org/files/documents/ICC_proceedings/ICC2011/Oral%20Presentations%20PDF/C2-Mapping%20network%20and%20route/CO-232.pdf
  • Yuan, L., Kong, F., Luo, Y., Zeng, S., Lan, J., & You, X. (2019). Gender differences in large-scale and small-scale spatial ability: A systematic review based on behavioral and neuroimaging research. Frontiers in Behavioral Neuroscience, 13, 128. https://doi.org/10.3389/fnbeh.2019.00128

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.