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Assessing Human Spatial Navigation in a Virtual Space and its Sensitivity to Exercise
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Designing for Wayfinding in VR: Linking Navigation Interfaces to Spatial Learning and Cognitive Mapping.

Armin Mostafavi1, Zhiwen Qiu2, Tong Bill Xu1

  • 1Department of Human Centered Design, Cornell University, Ithaca, New York, USA.

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. CHI Conference
|May 8, 2026
PubMed
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Virtual reality navigation methods impact spatial learning and performance in complex environments. Techniques without visual transitions may enhance cognitive mapping, offering insights for VR wayfinding research.

Area of Science:

  • Virtual Reality (VR)
  • Human-Computer Interaction (HCI)
  • Cognitive Psychology

Background:

  • VR navigation research employs diverse locomotion and transition techniques.
  • Systematic examination of these techniques' impact on spatial learning and performance in complex indoor settings is limited.

Purpose of the Study:

  • To systematically investigate the effects of different virtual reality locomotion and visual transition techniques on spatial learning, cognitive map formation, and navigational performance.
  • To provide empirical insights and guidelines for improving VR-based wayfinding research.

Main Methods:

  • A between-subjects study with 142 participants in two high-fidelity VR hospital environments.
  • Experimental factors included locomotion techniques and viewpoint transitions during free exploration and task-based wayfinding.
Keywords:
VR Wayfindinglocomotionnavigational performancespatial learningteleportationviewpoint transition

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  • Measures included spatial learning (pointing, distance estimation, sketch-map accuracy), performance (completion time, distance traveled), and user experience (cybersickness, presence, usability).

    • Main Results:

    • Locomotion techniques significantly influenced task completion time, with teleportation yielding faster performance in task-based wayfinding.
    • Spatial learning outcomes were mixed, suggesting that locomotion techniques without viewpoint transitions might better support cognitive map development.
    • User experience metrics like cybersickness and perceived presence were also analyzed.

    Conclusions:

    • Virtual reality locomotion and transition techniques have differential effects on navigational performance and spatial learning in complex virtual environments.
    • Techniques minimizing visual disruption may enhance cognitive mapping abilities in VR.
    • Findings offer practical guidelines for designing more effective VR navigation systems and research methodologies.