IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v40y2021i8p809-820.html
   My bibliography  Save this article

Analysis of the correlation between spatial cognitive abilities and wayfinding decisions in 3D digital environments

Author

Listed:
  • Shen Ying
  • Yuan Zhuang
  • Lina Huang
  • Hong Wang
  • Zhangcai Yin

Abstract

Although the effects of spatial abilities on behaviour have recently been a hot topic, wayfinding has received little attentions. Here, the reasons for route selection differences during wayfinding were studied from the perspective of individual competence. The mental rotation (A-MR), abstract reasoning (A-AR), visual short-term memory (A-VSTM), spatial perception (A-SP) and spatial orientation (A-SO) abilities of 52 college students were assessed, and their route selection behaviours were tested in homogeneous and heterogeneous three-dimensional virtual scenes. Finally, the relationships between five abilities and the lengths (R-L) and angles (R-A) of the selected routes were analysed and the R meants route here. The path complexity (weighted combination of R-L and R-A) was also fitted using a partial least-squares model with the five abilities. The A-MR and A-AR had obvious relationships with R-L and R-A, whereas A-SP showed little correlation. Moreover, the A-VSTM and A-SO had a significantly higher impact on route selection in the homogeneous spatial environment than in the heterogeneous one. Although the models passed the significance test, the fitting effect was not satisfactory. The routes were affected by many factors, and these five abilities could not fully explain the route selection behaviour of the individuals.

Suggested Citation

  • Shen Ying & Yuan Zhuang & Lina Huang & Hong Wang & Zhangcai Yin, 2021. "Analysis of the correlation between spatial cognitive abilities and wayfinding decisions in 3D digital environments," Behaviour and Information Technology, Taylor & Francis Journals, vol. 40(8), pages 809-820, June.
  • Handle: RePEc:taf:tbitxx:v:40:y:2021:i:8:p:809-820
    DOI: 10.1080/0144929X.2020.1726468
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2020.1726468
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0144929X.2020.1726468?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tbitxx:v:40:y:2021:i:8:p:809-820. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tbit .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.