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According to Ilmola-Sheppard and Kuusi [9], in virtual environmental scanning processes anonymity of the participants tends to produce more diversity in the data, whereas a scanning process based on social interaction produces less diversity.
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If the user reaches the wrong node, the cues in the virtual environmental help the user find the original path and find the nodes with similar meanings.
Parting from the hypothesis that omission of built environmental factors results in systematic residual pattern, we proceed to analyze the spatial filter to select sites for virtual environmental audits.
In this paper, we propose that a model that separates skill learning and environmental adaptation is necessary to explain the learning and aftereffects that are observed in virtual reality experiments.
In virtual reality?
Interested in virtual reality?
She has dabbled in virtual reality.
The comment was received in virtual silence.
-- had long operated in virtual anonymity.
Now think about that in virtual reality.
It's the ultimate in virtual sales.
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