Effects of Latency Jitter on Simulator Sickness in a Search Task

Stauffert, Jan-Philipp; Niebling, Florian; Latoschik, Marc Erich

doi:10.1109/vr.2018.8446195

Cited by 52 publications

(34 citation statements)

References 21 publications

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“…Thus, the body motion was delayed, whereas the camera/head pose was not. We adapted the procedure described by Stauffert et al [79] to introduce latency jitter, which uses a stochastical model for latency distribution, introducing high-latency spikes into the simulation. Motion-to-photon latency of the resulting simulations was approximated by video frame counting (Canon, 1000 Hz).…”

Section: Apparatusmentioning

confidence: 99%

Construction of the Virtual Embodiment Questionnaire (VEQ)

Roth

Latoschik

2020

IEEE Trans. Visual. Comput. Graphics

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124

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Fig. 1. Factors addressed by the VEQ. Virtual body ownership (a) which refers to the perception of perceiving a virtual body as the own, as the source of all sensations; Agency (b), which refers to the perception of control over a virtual body, and through that, control over events in the environment; Change (c) which refers to the change in the perceived body schema due to the stimulation. The user is depicted in grey; the virtual avatar is depicted in orange. Abstract-User embodiment is important for many virtual reality (VR) applications, for example, in the context of social interaction, therapy, training, or entertainment. However, there is no data-driven and validated instrument to empirically measure the perceptual aspects of embodiment, necessary to reliably evaluate this important phenomenon. To provide a method to assess components of virtual embodiment in a reliable and consistent fashion, we constructed a Virtual Embodiment Questionnaire (VEQ). We reviewed previous literature to identify applicable constructs and questionnaire items, and performed a confirmatory factor analysis (CFA) on the data from three experiments (N = 196). The analysis confirmed three factors: (1) ownership of a virtual body, (2) agency over a virtual body, and (3) the perceived change in the body schema. A fourth study (N = 22) was conducted to confirm the reliability and validity of the scale, by investigating the impacts of latency and latency jitter present in the simulation. We present the proposed scale and study results and discuss resulting implications.

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Section: Apparatusmentioning

confidence: 99%

Construction of the Virtual Embodiment Questionnaire (VEQ)

Roth

Latoschik

2020

IEEE Trans. Visual. Comput. Graphics

Self Cite

124

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“…Display lag refers to the time required for the user's tracked head movements to change the visual scene presented in their HMD. In HMD VR, this lag is the combined result of sensing, processing, data smoothing, transmission, rendering and frame rate delays (Allison et al, 2001;Wu et al, 2016;Stauffert et al, 2018). Research has shown that: (1) users are sensitive to small changes in display lag (i.e., <20 ms; Ellis et al, 2004;Mania et al, 2004); and (2) display lag can have detrimental effects on user perceptions, performance and well-being (Frank et al, 1988;DiZio and Lackner, 1997;Allison et al, 2001;Meehan et al, 2003).…”

Section: Display Lag Effects On Cybersickness In Hmd Vrmentioning

confidence: 99%

“…Most of these studies have examined the effects of adding simple constant display lags. However, display lag in HMD VR is not constant, but rather changes over time (Wu et al, 2016;Stauffert et al, 2018). Thus, a few studies have also examined the effects of time-varying display lag.…”

Section: Display Lag Effects On Cybersickness In Hmd Vrmentioning

confidence: 99%

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Cybersickness in Head-Mounted Displays Is Caused by Differences in the User's Virtual and Physical Head Pose

Palmisano

Allison

Kim

2020

Front. Virtual Real.

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“…Fenomena ini ditandai dengan munculnya jitter. Jitter membuat pengguna mengalami kesulitan ketika berinteraksi dalam aplikasi VR melalui smartphone dan dapat membuat pengguna mengalami cybersickness [25].…”

Section: A Sistem Pelacakan Posisi Penggunaunclassified

User position tracking system using marker-based AR for exploring VR museum galleries

Anggoro¹

2019

Jurnal Teknologi dan Sistem Komputer

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This study examines the user position tracking system using marker-based AR on smartphones camera. The tracking system uses a homographic algorithm integrated into the Galeri Museum VR application. In the test, the user performed exploration interactions by 6 degrees of freedom in ten different positions in the museum gallery. The physical space used in this study was 4 x 4 m2 and a marker attached to the wall in front of the user. This system results in errors in XYZ field (0.102 m, 0.047 m, 0.044 m). If the camera's orientation is not directing to the marker and the user is moving, jitter appears because of the untracked marker. The use of marker-based AR successfully applied to track the position of users who perform natural locomotion interactions in the VR environment.

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Effects of Latency Jitter on Simulator Sickness in a Search Task

Cited by 52 publications

References 21 publications

Construction of the Virtual Embodiment Questionnaire (VEQ)

Construction of the Virtual Embodiment Questionnaire (VEQ)

Cybersickness in Head-Mounted Displays Is Caused by Differences in the User's Virtual and Physical Head Pose

User position tracking system using marker-based AR for exploring VR museum galleries

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