2000
DOI: 10.1006/ijhc.2000.0389
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Cognitive and gender factors influencing navigation in a virtual environment

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Cited by 113 publications
(68 citation statements)
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References 48 publications
(56 reference statements)
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“…The authors speculate that programming ability is related to an ability to navigate through the information space using the same skills as in the real world. Good spatial ability has been related to the development of survey knowledge, equivalent to a well-formed cognitive map of an environment (Cutmore, Hine, Maberly, Langford, & Hawgood, 2000).…”
Section: Spatial Ability and Mental Modelsmentioning
confidence: 99%
“…The authors speculate that programming ability is related to an ability to navigate through the information space using the same skills as in the real world. Good spatial ability has been related to the development of survey knowledge, equivalent to a well-formed cognitive map of an environment (Cutmore, Hine, Maberly, Langford, & Hawgood, 2000).…”
Section: Spatial Ability and Mental Modelsmentioning
confidence: 99%
“…Another approach to understanding the diVerences in diVerent modes of spatial learning has been to focus on the perspective in which information is being learned, with the ground-level perspective and the aerial perspective intended to provide leverage on exploratory navigation and map reading, respectively (Cutmore, Hine, Maberly, Langford, & Hawgood, 2000;Mellet et al, 2000;Shelton & Gabrieli, 2002Shelton & McNamara, 2004;Shelton, Yamamoto, Fields, & Spence, 2006). In these simpliWed conditions, ground-level encoding generally consists of viewing a virtual environment from the perspective of an observer walking around within the environment, whereas aerial encoding consists of viewing a virtual environment by panning over the environment from an external perspective above space 1 .…”
Section: Introductionmentioning
confidence: 98%
“…The distributions representing the data on dispersal of the treasure hunters during the experiments are shown in figure 5 for both VE models. Gender is found as a factor-influencing navigation in VE: males were reported to acquire route knowledge from landmarks faster than females [40] and to spend less time in locating targets [41]. Interestingly, the form of the empirically observed distributions ( figure 5) was neither gender-specific nor sensitive to the different global structure of the environments.…”
Section: Heavy-tailed Distributions Of Human Travels In Virtual Envirmentioning
confidence: 95%