Wayfinding behaviour in a multi-level building: A comparative study of HMD VR and Desktop VR

Feng, Yundi; Duives, Dorine C.; Hoogendoorn, Serge P.

doi:10.1016/j.aei.2021.101475

Cited by 42 publications

(10 citation statements)

References 97 publications

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“…Recently, a novel study compared HMD and Desktop-VR wayfinding on a battery of different tasks in a multi-story building with different rooms. Findings showed Desktop-VR users looked around less, travelled faster and with shorter distances (Feng et al, 2022). However, overall route choice was similar, and more critically, user experience in perceived presence, usability, cybersickness or realism was identical between the two groups.…”

Section: (43) Consistency Across Physical and Virtual Environmentsmentioning

confidence: 87%

“…Desktop-VR specifically is compatible with functional magnetic resonance imaging (fMRI), within which virtual movement is controlled by a joystick or arrow keys and self-motion information is derived from optic flow only (Ekstrom et al, 2018;Epstein, Patai, Julian, & Spiers, 2017;Spiers & Barry, 2015). Conversely, HMD-VR purportedly offers a higher degree of environmental presence and allows for body-based self-motion cues such as vestibular and proprioception feedback (Klatzky, Loomis, Beall, Chance, & Golledge, 1998;Sousa Santos et al, 2009), but see (Feng, Duives, & Hoogendoorn, 2022). Both have been critical in elucidating the brainbehaviour relationships of navigation (Keinath, Rechnitz, Balasubramanian, & Epstein, 2021;Shine, Valdés-Herrera, Hegarty, & Wolbers, 2016).…”

Section: (1) Introductionmentioning

confidence: 99%

“…However, the specific advantages of different VR environments to explore boundary manipulation are only relevant if they faithfully recapture the spatial memory processes used by humans in physical environments. A large body of work has already addressed this knowledge gap, comparing different aspects of spatial memory such as the influence of environmental deformations, visual cue conflict and wayfinding strategy across either one VR type and physical environments, or between desktop and immersive-VR environments (Feng et al, 2022;Keinath et al, 2021;Kimura et al, 2017). However, few studies have compared the impact of boundaries on human spatial memory across all three.…”

Section: (1) Introductionmentioning

confidence: 99%

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Comparable human spatial memory distortions in physical, desktop virtual and immersive virtual environments

Zisch

Coutrot

Murcia-Lopez

et al. 2022

Preprint

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Boundaries define regions of space and are integral to episodic memories. The impact of boundaries on spatial memory and neural representations of space has been extensively studied in freely-moving rodents. But less is known in humans and many prior studies have employed desktop virtual reality (VR) which lacks the body-based self-motion cues of the physical world, diminishing the potentially strong input from path integration to spatial memory. We replicated a desktop-VR study testing the impact of boundaries on spatial memory (Hartley et al., 2004) in a physical room (2.4m x 2.4m, 2m tall) by having participants (N = 27) learn the location of a circular stool and then after a short delay replace it where they thought they had found it. During the delay, the wall boundaries were either expanded or contracted. We compared performance to groups of participants undergoing the same procedure in a laser-scanned replica in both desktop VR (N = 44) and freely-walking head mounted display (HMD) VR (N = 39) environments. Performance was measured as goodness of fit between the spatial distributions of group responses and seven modelled distributions that prioritised different metrics based on boundary geometry or walking paths to estimate the stool location. The best fitting model was a weighted linear combination of all the geometric spatial models, but an individual model derived from place cell firing in Hartley et al. 2004 also fit well. High levels of disorientation in all three environments prevented detailed analysis on the contribution of path integration. We found identical model fits across the three environments, though desktop VR and HMD-VR appeared more consistent in spatial distributions of group responses than the physical environment and displayed known variations in virtual depth perception. Thus, while human spatial representation appears differentially influenced by environmental boundaries, the influence is similar across virtual and physical environments. Despite differences in body-based cue availability, desktop and HMD-VR allow a good and interchangeable approximation for examining human spatial memory in small-scale physical environments.

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Section: (43) Consistency Across Physical and Virtual Environmentsmentioning

confidence: 87%

Section: (1) Introductionmentioning

confidence: 99%

Section: (1) Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comparable human spatial memory distortions in physical, desktop virtual and immersive virtual environments

Zisch

Coutrot

Murcia-Lopez

et al. 2022

Preprint

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show abstract

“…Specifically in the field of wayfinding studies, the utility of VREVAL is positioned well for producing research studies which follow up the latest directions of cross-cultural analysis (Zhu et al 2020), and the differences between real-world and digitally modelled studies (Arias et al 2022, Feng et al 2022, and other extensions beyond documenting evacuation behaviors.…”

Section: Discussionmentioning

confidence: 99%

Performing Immersive Virtual Environment User Studies with VREVAL

Bailey¹,

Kammler²,

Weiser³

et al. 2022

eCAADe Proceedings

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New advances in user studies within Immersive Virtual Environments (IVEs) have made possible highly immersive Pre-Occupancy Evaluations (Pr-OEs) during the architectural design process. However, there remains a lack of easy methods for integrating these IVEbased user studies into design development phases while also providing reliable datadriven results. In VREVAL, a framework for IVE-based architectural user studies, several technical and interface solutions for architectural user studies have been addressed. In the following paper, recent developments in the VREVAL hybrid web platform and desktop application will be reviewed via the presentation of a partial Pr-OE of four alternative train station designs. By examining the design process of a route choice user study which compares four schematic designs, the VREVAL modular methods for creating study tasks and questionnaires within a BIM-generated IVE will be demonstrated.

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“…The virtual environment technology can improve the controllability of the experimental environment and various factors and accurately collect behavioral data such as pedestrian positions and reaction times. Many researchers have used virtual reality for wayfinding experiments [ 23 ]. With this technology, the financial cost and the time spent on experiments can be drastically reduced [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

Design and evaluation of radiation disaster prevention map based on evacuation behavior

Zheng¹,

Chen²,

Chen³

2023

Heliyon

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Wayfinding behaviour in a multi-level building: A comparative study of HMD VR and Desktop VR

Cited by 42 publications

References 97 publications

Comparable human spatial memory distortions in physical, desktop virtual and immersive virtual environments

Comparable human spatial memory distortions in physical, desktop virtual and immersive virtual environments

Performing Immersive Virtual Environment User Studies with VREVAL

Design and evaluation of radiation disaster prevention map based on evacuation behavior

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