Navigating large virtual spaces
International Journal of Human-Computer Interaction - Special issue on human-virtual environment interaction
A desktop virtual environment trainer provides superior retention of a spatial assembly skill
CHI 98 Cconference Summary on Human Factors in Computing Systems
Navigating in Natural Environments: A Virtual Environment Training Transfer Study
VRAIS '98 Proceedings of the Virtual Reality Annual International Symposium
Spatial and temporal factors in the acquisition of spatial information: a connectionist model
Spatial and temporal factors in the acquisition of spatial information: a connectionist model
The Transfer of Spatial Knowledge in Virtual Environment Training
Presence: Teleoperators and Virtual Environments
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This paper proposes a machine learning-based approach for capturing rules embedded in users' movement paths while navigating in Virtual Environments (VEs). It is argued that this methodology and the set of navigational rules which it provides should be regarded as a starting point for designing adaptive VEs able to provide navigation support. This is a major contribution of this work, given that the up-to-date adaptivity for navigable VEs has been primarily delivered through the manipulation of navigational cues with little reference to the user model of navigation.