Abstract
Virtual reality is used as a novel tool for behavioral experiments on humans. Two environments, Hexatown and Virtual Tübingen, are presented. Experiments on cognitive maps carried out in the Hexatown environment are reported in this paper. Results indicate that subjects are able to acquire configuration knowledge of the virtual town even in the absence of physical movement. Simpler mechanisms such as associations of views with movements are also present. We discuss the results in relation to a graph-theoretic approach to cognitive maps.
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References
V. Aginsky, C. Harris, R. Rensink, and J. Beusmans. Two strategies for learning a route in a driving simulator. Technical Report CBR TR 96-6, Cambridge Basic Reseach, 4 Cambridge Center, Cambridge, Massachusetts 02142 U.S.A., 1996.
M. Billinghurst and S. J. Weghorst. The use of sketch maps to measure cognitive maps of virtual environments. In Proc. IEEE 1995 Virtual Reality Annual International Symposium, pages 40–47, Piscataway, NJ, 1995. IEEE Press.
B. A. Cartwright and T. S. Collett. How honey bees use landmarks to guide their return to a food source. Nature, 295:560–564, 1982.
K. Cheng. A purely geometric module in the rat’s spatial representation. Cognition, 23:149–178, 1986.
T. S. Collett and J. Baron. Learnt sensori-motor mappings in honeybees: interpolation and its possible relevance to navigation. Journal of Comparative Physiology A, 177:287–298, 1995.
R. P. Darken and J. L. Sibert. Navigating large virtual spaces. International Journal of Human-Computer Interaction, 8(1):49–71, 1996.
M. O. Franz, B. Schölkopf, H. A. Mallot, and H. H. Bülthoff. Learning view graphs for robot navigation. Autonomous Robots, in press.
S. Gillner. Untersuchungen zur bildbasierten Navigationsleistung in virtuellen Welten. Knirsch-Verlag, Kirchentellinsfurt, 1997.
S. Gillner and H. A. Mallot. Navigation and acquisition of spatial knowledge in a virtual maze. Journal of Cognitive Neuroscience, in press.
B. J. Kuipers and Y.-T. Byun. A robust, qualitative approach to a spatial learning mobile robot. In SPIE Vol. 1003 Sensor Fusion: Spatial Reasoning and Scene Interpretation. International Society for Optical Engineering (SPIE), 1988.
H. A. Mallot, M. Franz, B. Schölkopf, and H. H. Bülthoff. The view-graph approach to visual navigation and spatial memory. In Artificial Neural Networks — ICANN 97, 1997.
H. A. Mallot and S. Gillner. Psychophysical support for a view-based strategy in navigation. Investigative Ophthalmology and Visual Science, 38(Suppl.):4683, 1997. ARVO-Abstract No. 4683.
R. Maurer and V. Séguinot. What is modelling for? A critical review of the models of path integration. Journal of theoretical Biology, 175:457–475, 1995.
M. May, P. Péruch, and A. Savoyant. Navigating in a virtual environment with map-acquired knowledge: Encoding and alignment effects. Ecological Psychology, 7(1):21–36, 1995.
R. U. Muller, M. Stead, and J. Pach. The hippocampus as a cognitive graph. Journal of General Physiology, 107:663–694, 1996.
J. O’Keefe and L. Nadel. The hippocampus as a cognitive map. Clarendon, Oxford, England, 1978.
P. Péruch, M. May, and F. Wartenberg. Homing in virtual environments: Effects of field of view and path layout. Perception, 26:301–311, 1997.
T. Prescott. Spatial representation for navigation in animals. Adaptive Behavior, 4:85–123, 1996.
R. A. Ruddle, S. J. Payne, and D. M. Jones. Navigating buildings in “desk-top” virtual environments: Experimental investigations using extended navigational experience. Journal of Experimental Psychology: Applied, 3:143–159, 1997.
B. Schölkopf and H. A. Mallot. View-based cognitive mapping and path planning. Adaptive Behavior, 3:311–348, 1995.
M. Tlauka and P. N. Wilson. Orientation-free representations from navigation through a computer-simulated environment. Environment and Behavior, 28:647–664, 1996.
F. H. Tong, S. G. Marlin, and B. J. Frost. Visual-motor integration and spatial representation in a visual virtual environment. Investigative Ophthalmology and Visual Science, 36:1679, 1995. ARVO abstract.
D. S. Touretzky and A. D. Redish. Theory of rodent navigation based on interacting representations of space. Hippocampus, 6:247–270, 1996.
O. Trullier, S. I. Wiener, A. Berthoz, and J.-A. Meyer. Biologically based artificial navigation systems: Review and prospects. Progress in Neurobiology, 51:483–544, 1997.
H. A. H. C. van Veen, H. K. Distler, S. J. Braun, and H. H. Bülthoff. Using virtual reality technology to study human action and perception. Future Generation Computer Systems, in press. See also: http://www.kyb.tuebingen.mpg.de/ (Technical Report 57).
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Mallot, H.A., Gillner, S., van Veen, H.A.H.C., Bülthoff, H.H. (1998). Behavioral experiments in spatial cognition using virtual reality. In: Freksa, C., Habel, C., Wender, K.F. (eds) Spatial Cognition. Lecture Notes in Computer Science(), vol 1404. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-69342-4_21
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DOI: https://doi.org/10.1007/3-540-69342-4_21
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