Material surface properties modulate vection strength

Morimoto, Yasuhiko; Sato, Hirotaro; Hiramatsu, Chihiro; Seno, Takeharu

doi:10.1007/s00221-019-05620-0

Cited by 7 publications

(5 citation statements)

References 47 publications

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“…In Experiment 1, vection was stronger for the bark tunnel than for the glass tunnel. This agrees with our previous findings (Morimoto et al, 2019;Sato et al, 2018aSato et al, , 2018b. Motion type (camera-or tunnel-moving) only significantly affected the duration of vection: cameramoving induced longer lasting vection than tunnel-moving.…”

Section: Methodssupporting

confidence: 94%

“…The two conditions (camera-moving or tunnel-moving) were created by inputting the script for the motion (speed) to either the camera or the tunnel ( Figure 1 ). For the opaque tunnel, we used a virtual surface material made from “bark” ( Figure 2 , left), because this virtual material induced the strongest vection in our previous study ( Morimoto et al., 2019 ; Sato et al., 2018a , 2018b ). For the transparent tunnel ( Figure 2 , right), we used a “glass” surface material.…”

Section: Methodsmentioning

confidence: 99%

“…More basically, increasing the frame rate of CG-vection stimuli increases vection strength ( Fujii et al., 2018 ; Weech et al., 2020 ). Furthermore, we have examined the material properties of the surface of vection stimuli and found that some material surfaces (e.g., bumpy bark surfaces) are more effective for vection induction than others (e.g., smooth and transparent glass surfaces; Morimoto et al., 2019 ; Sato et al., 2018a , 2018b ). Also, the influence of using new environments like a very large virtual screen (e.g., Mohler et al., 2005 ) and devices like Oculus Rift (e.g., Palmisano et al., 2017 ) can modify and highly affect vection strength.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Differences in Three Vection Indices (Latency, Duration, and Magnitude) Induced by “Camera-Moving” and “Object-Moving” in a Virtual Computer Graphics World, Despite Similarity in the Retinal Images

et al. 2020

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To create a self-motion (vection) situation in three-dimensional computer graphics (CG), there are mainly two ways: moving a camera toward an object (“camera moving”) or by moving the object and its surrounding environment toward the camera (“object moving”). As both methods vary considerably in the amount of computer calculations involved in generating CG, knowing how each method affects self-motion perception should be important to CG-creators and psychologists. Here, we simulated self-motion in a virtual three-dimensional CG-world, without stereoscopic disparity, which correctly reflected the lighting and glare. Self-motion was induced by “camera moving” or by “object moving,” which in the present experiments was done by moving a tunnel surrounding the camera toward the camera. This produced two retinal images that were virtually identical in Experiment 1 and very similar in Experiments 2 and 3. The stimuli were presented on a large plasma display to 15 naive participants and induced substantial vection. Three experiments comparing vection strength between the two methods found weak but significant differences. The results suggest that when creating CG visual experiences, “camera-moving” induces stronger vection.

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Section: Methodssupporting

confidence: 94%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Differences in Three Vection Indices (Latency, Duration, and Magnitude) Induced by “Camera-Moving” and “Object-Moving” in a Virtual Computer Graphics World, Despite Similarity in the Retinal Images

et al. 2020

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“…Spatial frequency refers to the amount of detail of the stimulus that is in view, and increased spatial frequency occurs when more of the pattern is presented (Dichgans & Brandt, 1973). Morimoto et al (2019) measured vection evoked by simulated 3D tunnels that were composed of various materials, such as ceramic, wood, and glass. They found that lightness of visual stimuli as well as the amplitude of the spatial frequency increased vection magnitude.…”

Section: Densitymentioning

confidence: 99%

The Influence of Stimulus Speed and Cognitive Factors on Cortical Responses to Vection-inducing Stimuli

Andrievskaia

2024

Preprint

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Vection is the illusion of self-motion elicited by visual cues without corresponding physical movement. Using electroencephalography, alpha activity has been found to increase in the parieto-occipital regions following vection onset. Variability in individuals' perception of upright has been reported to affect vection. Yet objective measures of this phenomenon are missing, and our understanding of how cognitive factors influence vection is limited. In this study, vection onset, offset, and neurophysiological data were recorded while participants viewed vection-inducing stimuli. Participants completed depersonalization and anxiety questionnaires and a field dependence test. Only state anxiety accounted for a substantial amount of variance in vection intensity scores. Alpha power varied as across time and stimulus speed, decreasing after vection onset and only in response to the slow-moving stimulus. This suggests that stimulus intensity may cause variation in neural responses. The results of this study can aid in the development of an objective measure of vection.

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“…Successive variation of static visual orientation would affect the observer's subjective verticality, which might be integrated into continuous self-rotation perception. In addition, some recent vection studies have shown that the material qualities of the visual stimulus significantly affect vection strength by manipulating a complex visual texture mapped on the inducer (e.g., Kim, Khuu & Palmisano, 2016;Morimoto, Sato, Hiramatsu & Seno, 2019). The motion of visual surfaces with a complex texture might coincidentally evoke higher order motion signals along with its luminance motion.…”

Section: Effects Of Second-order Visual Motion On Self-motion Perceptionmentioning

confidence: 99%

Orientation-defined visual rotation significantly affects observer's perceived self-motion

Nakamura

2020

Journal of Vision

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Material surface properties modulate vection strength

Cited by 7 publications

References 47 publications

Differences in Three Vection Indices (Latency, Duration, and Magnitude) Induced by “Camera-Moving” and “Object-Moving” in a Virtual Computer Graphics World, Despite Similarity in the Retinal Images

Differences in Three Vection Indices (Latency, Duration, and Magnitude) Induced by “Camera-Moving” and “Object-Moving” in a Virtual Computer Graphics World, Despite Similarity in the Retinal Images

The Influence of Stimulus Speed and Cognitive Factors on Cortical Responses to Vection-inducing Stimuli

Orientation-defined visual rotation significantly affects observer's perceived self-motion

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