2020
DOI: 10.1016/j.trf.2019.11.005
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Virtually the same? Analysing pedestrian behaviour by means of virtual reality

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Cited by 64 publications
(25 citation statements)
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“…The experiment's sample size of 100 participants is not considered small among VR studies. In Schneider et al, a review of 87 such studies showed that the average sample size was just 69.5 people [61]. The sample size of the present study was also sufficiently large to apply conjoint analysis [62] (p. 21).…”
Section: Participantsmentioning
confidence: 67%
“…The experiment's sample size of 100 participants is not considered small among VR studies. In Schneider et al, a review of 87 such studies showed that the average sample size was just 69.5 people [61]. The sample size of the present study was also sufficiently large to apply conjoint analysis [62] (p. 21).…”
Section: Participantsmentioning
confidence: 67%
“…Furthermore, like other research using VR [ 37 ], this study targeted a limited population cohort of university students and only 50 students finally participated in our survey through snowball sampling, thus making generalizing our results difficult. To expand our study, future research should cover a wide range of people, including children, the elderly, and the disabled.…”
Section: Discussionmentioning
confidence: 99%
“…To expand our study, future research should cover a wide range of people, including children, the elderly, and the disabled. Although our target population and sample size are not very different from those of previous VR studies [ 37 ], this study should be regarded as a pioneering study applying novel methodology, rather than a confirmatory study.…”
Section: Discussionmentioning
confidence: 99%
“…Arguably the biggest gap in IVE research for bicyclists and pedestrians is the lack of standard methods to cross-compare different studies. For instance, it is difficult to draw conclusions relating to technology effectiveness between a simulator using 2D screens and another using a 3D HMD as validation studies are very limited and not consistent between different mediums (Schneider and Bengler 2020). This was shown by Maillot et al (2017) in which they evaluated participants' crossing behavior across three mediums: 2D screens, 3D HMD, and 3D Cave Automatic Virtual Environment (CAVE); their analysis showed there exists a significant difference in participant gap acceptance between 2D screens and CAVE.…”
Section: Ive Simulation Technology and Frameworkmentioning
confidence: 99%