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Virtual spaces and real world places: transfer of route knowledge

It has been widely suggested, but rarely demonstrated, that virtual environments (VEs) are effective training media. The purpose of this investigation was to evaluate how well a VE model of a complex office building trained individuals to navigate in the actual building. Sixty participants studied r...

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Published in:International journal of human-computer studies 1996, Vol.45 (4), p.413-428
Main Authors: Witmer, Bob G., Bailey, John H., Knerr, Bruce W., Parsons, Kimberly C.
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Language:English
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container_title International journal of human-computer studies
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creator Witmer, Bob G.
Bailey, John H.
Knerr, Bruce W.
Parsons, Kimberly C.
description It has been widely suggested, but rarely demonstrated, that virtual environments (VEs) are effective training media. The purpose of this investigation was to evaluate how well a VE model of a complex office building trained individuals to navigate in the actual building. Sixty participants studied route directions and landmark photographs, then rehearsed the route using either the VE model, the actual building, or verbal directions and photographs. The VE model was presented in real time via a head-tracked display. Half of the participants in each rehearsal group also studied route maps. Everyone's route knowledge was then measured in the actual building. Building configuration knowledge was also measured. VE rehearsal produced more route knowledge than verbal rehearsal, but less than with rehearsal in the actual building. Type of rehearsal had no effect on configuration knowledge. Map study influenced neither route nor configuration knowledge. These results suggest that VEs that adequately represent real world complexity can be effective training media for learning complex routes in buildings, and should be considered whenever the real world site is unavailable for training.
doi_str_mv 10.1006/ijhc.1996.0060
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source Elsevier
subjects Applied sciences
Artificial intelligence
Computer science
control theory
systems
Connectionism. Neural networks
Exact sciences and technology
Learning and adaptive systems
Pattern recognition. Digital image processing. Computational geometry
title Virtual spaces and real world places: transfer of route knowledge
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