2023
DOI: 10.3389/fcomp.2023.1066881
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The effects of social density, spatial density, noise, and office views on perceived personal space in the virtual workplace

Abstract: Here we sought to understand how perceived personal space is influenced by a number of variables that could influence Indoor Environmental Quality (IEQ); specifically, we tested how different levels of social density, spatial density, noise presence, and type of view impact the appreciation of personal space in a shared office environment. We employed virtual reality (VR) to simulate shared and single occupancy offices and devised a novel measure of personal space estimation. We also used a traditional persona… Show more

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Cited by 2 publications
(7 citation statements)
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References 57 publications
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“…To maintain brevity, and avoid the publication of same data multiple times, the results reported in this article are limited to the Korean participant’s only (see Table 1 for mean estimated personal space, and Table 2 for mean questionnaire responses). We also report a cross-paper analysis between the data presented here and the results of experiment two in Jicol et al (2023) . For the United Kingdom sample’s data, refer to the accompanying publication of Jicol et al (2023) .…”
Section: Resultsmentioning
confidence: 92%
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“…To maintain brevity, and avoid the publication of same data multiple times, the results reported in this article are limited to the Korean participant’s only (see Table 1 for mean estimated personal space, and Table 2 for mean questionnaire responses). We also report a cross-paper analysis between the data presented here and the results of experiment two in Jicol et al (2023) . For the United Kingdom sample’s data, refer to the accompanying publication of Jicol et al (2023) .…”
Section: Resultsmentioning
confidence: 92%
“…All participants were required to read through an information sheet that described the purpose, details of the task, and then provide written informed consent prior to commencing the experiment. Sample size was chosen in line with guidelines for VR research ( Grantcharov et al, 2004 ) and a power calculation based on Experiment 1 in Jicol et al (2023) .…”
Section: Methodsmentioning
confidence: 99%
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