Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Spatial knowledge acquisition from maps and from navigation in real and virtual environments.

A E Richardson1, D R Montello, M Hegarty

  • 1Department of Geography, University of California, Santa Barbara 93106, USA. tonyr@geog.ucsb.edu

Memory & Cognition
|September 10, 1999
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Cultural determinants of the gap between self-estimated navigation ability and wayfinding performance: evidence from 46 countries.

Scientific reports·2023
Same author

Evolution of the grass leaf by primordium extension and petiole-lamina remodeling.

Science (New York, N.Y.)·2021
Same author

Inter-annual and spatial climatic variability have led to a balance between local fluctuating selection and wide-range directional selection in a perennial grass species.

Annals of botany·2021
Same author

Integrating a newly developed BAC-based physical mapping resource for Lolium perenne with a genome-wide association study across a L. perenne European ecotype collection identifies genomic contexts associated with agriculturally important traits.

Annals of botany·2019
Same author

Deep or awake removal of laryngeal mask airway in children at risk of respiratory adverse events undergoing tonsillectomy-a randomised controlled trial.

British journal of anaesthesia·2018
Same author

Cuffed vs. uncuffed tracheal tubes in children: a randomised controlled trial comparing leak, tidal volume and complications.

Anaesthesia·2017

Learning environments using maps or virtual environments (VEs) impacts spatial representation. Map learners showed orientation specificity, while VE learners experienced disorientation, though simple VE learning predicted real-world navigation ability.

Area of Science:

  • Cognitive Psychology
  • Human-Computer Interaction
  • Spatial Cognition

Background:

  • Spatial representations are crucial for navigation.
  • Different learning methods, including maps and virtual environments (VEs), may yield distinct spatial knowledge.
  • Understanding these differences is key to optimizing learning strategies.

Purpose of the Study:

  • To compare spatial representations acquired through maps, direct experience, and virtual environments.
  • To investigate the impact of learning method on environmental disorientation and landmark recognition.
  • To assess the relationship between virtual environment learning and real-world spatial learning.

Main Methods:

  • Participants learned a simple virtual environment (VE) before learning a complex building.

Related Experiment Videos

  • Learning conditions for the complex environment included maps, direct experience, or VE traversal.
  • Performance was assessed based on spatial recall, landmark identification, and disorientation after rotation.

    • Main Results:

    • Virtual environment learners exhibited poorer overall learning and were more prone to disorientation after rotation.
    • All learning conditions resulted in similar performance for single-floor landmark learning.
    • Map learners demonstrated an alignment effect, indicating orientation-specific representations.
    • Virtual environment learners showed a preferred orientation, linked to their initial learning orientation.

    Conclusions:

    • Virtual environments can lead to disorientation, particularly after rotational challenges.
    • Learning simple virtual environments effectively predicts real-world spatial learning.
    • Cognitive mechanisms for learning simple VEs and real environments appear similar.