Controlling Visually Induced Self-Motion Perception: Effect of Overlapping Dynamic Visual Noise

Ito, Hiroyuki; Takano, Hiroshi

doi:10.2114/jpa.23.307

Cited by 11 publications

(4 citation statements)

References 19 publications

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“…However, the main effect of vection type was not significant, F 1,9 = 0.217, p = 0.6526, η p 2 = 0.024. That is, vection onset latency was similar for displays simulating upward and downward self-motion (as was expected based on the findings of most past studies -see Ito and Fujimoto, 2003;Ito and Takano, 2004;Kitazaki and Sato, 2003;Lepecq et al, 1999). Similarly, none of the other two-or three-way interactions were found to be significant.…”

Section: Resultssupporting

confidence: 82%

Prior Exposure to Dynamic Visual Displays Reduces Vection Onset Latency

Ito

Ogawa

et al. 2022

Multisens. Res.

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While compelling illusions of self-motion (vection) can be induced purely by visual motion, they are rarely experienced immediately. This vection onset latency is thought to represent the time required to resolve sensory conflicts between the stationary observer’s visual and nonvisual information about self-motion. In this study, we investigated whether manipulations designed to increase the weightings assigned to vision (compared to the nonvisual senses) might reduce vection onset latency. We presented two different types of visual priming displays directly before our main vection-inducing displays: (1) ‘random motion’ priming displays — designed to pre-activate general, as opposed to self-motion-specific, visual motion processing systems; and (2) ‘dynamic no-motion’ priming displays — designed to stimulate vision, but not generate conscious motion perceptions. Prior exposure to both types of priming displays was found to significantly shorten vection onset latencies for the main self-motion display. These experiments show that vection onset latencies can be reduced by pre-activating the visual system with both types of priming display. Importantly, these visual priming displays did not need to be capable of inducing vection or conscious motion perception in order to produce such benefits.

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Section: Resultssupporting

confidence: 82%

Prior Exposure to Dynamic Visual Displays Reduces Vection Onset Latency

Ito

Ogawa

et al. 2022

Multisens. Res.

Self Cite

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“…While other studies did not obtained all three measures together, most obtained at least one or more of them 4 (e.g., Allison, Zacher, Kirollos, Guterman, & Palmisano, 2012 ; Andersen & Braunstein, 1985 ; Ash & Palmisano, 2012 ; Ash, Palmisano, Apthorp, & Allison, 2013 ; Ash, Palmisano, Govan, & Kim, 2011 ; Ash, Palmisano, & Kim, 2011 ; Becker, Raab, & Jürgens, 2002 ; Brandt, Dichgans, & Büchele, 1974 ; Brandt, Wist, & Dichgans, 1975 ; Delorme & Martin, 1986 ; Diels, Ukai, & Howarth, 2007 ; Fushiki, Takata, & Watanabe, 2000 ; Giannopulu & Lepecq, 1998 ; Haibach, Slobounov, & Newell, 2009 ; Held, Dichgans, & Bauer, 1975 ; Howard & Heckmann, 1989 ; IJsselsteijn, de Ridder, Freeman, Avons, & Bouwhuis, 2001 ; Ishida, Fushiki, Nishida, & Watanabe, 2008 ; Ito & Shibata, 2005 ; Ito & Takano, 2004 ; Ji, So, & Cheung, 2009 ; Jürgens et al., 2016 ; Kano, 1991 ; Kennedy, Hettinger, Harm, Ordy, & Dunlap, 1996 ; Kim & Khuu, 2014 ; Kim, Palmisano, & Bonato, 2012 ; Lubeck, Bos, & Stins, 2015 ; Ohmi & Howard, 1988 ; Ohmi, Howard, & Landolt, 1987 ; Palmisano, 2002 ; Palmisano, Allison, & Howard, 2006 ; Palmisano, Apthorp, Seno, & Stapley, 2014 ; Palmisano, Bonato, Bubka, & Folder, 2007 ; Palmisano, Kim, & Freeman, 2012 ; Palmisano, Mursic, & Kim, 2017 ; Post, 1988 ; Previc...…”

Section: The Opvmmentioning

confidence: 99%

The Oscillating Potential Model of Visually Induced Vection

et al. 2017

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Visually induced illusions of self-motion are often referred to as vection. This article developed and tested a model of responding to visually induced vection. We first constructed a mathematical model based on well-documented characteristics of vection and human behavioral responses to this illusion. We then conducted 10,000 virtual trial simulations using this Oscillating Potential Vection Model (OPVM). OPVM was used to generate simulated vection onset, duration, and magnitude responses for each of these trials. Finally, we compared the properties of OPVM’s simulated vection responses with real responses obtained in seven different laboratory-based vection experiments. The OPVM output was found to compare favorably with the empirically obtained vection data.

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“…In fact, this is a plausible idea, as human visual motion perception is primarily based on the optical flow, as first discovered by Gibson [21] and further confirmed in brain science research [22], [23]. In follow-up studies, methods have been devised to modulate the degree or characteristics of vection by manipulating the optical flow form [24], overlapping different directional/rotation flows [25], and mixing in visual noise [26]. In fact, the human brain can differentiate between the visual motion caused by oneself and those caused by objects in the visual field, particularly when facilitated by the vestibular sense [27].…”

Section: Mcgill Et Al Investigated the Effects Of Visual Motion Cues ...mentioning

confidence: 92%

RideVR: Reducing Sickness for In-Car Virtual Reality by Mixed-in Presentation of Motion Flow Information

Cho

Kim.

2022

IEEE Access

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Humans spend a significant portion of their daily life in cars. In this study, we investigate a method to reduce motion sickness and allow people to use virtual reality (VR) while riding in cars. As the sickness arises primarily from the sensory conflict between visual and actual (or vestibular) motions, the proposed approach attempts to resolve the mismatch by mixing in and visualizing the estimated information of the actual motion, which is sensed by the on-board diagnostics and inertial measurement unit modules attached to the vehicle. We conduct a pilot experiment to validate our approach by comparing the sickness levels before and after implementing the approach in three in-car VR usage conditions:(1) Default -using the VR content without modification; (2) transparent wall -using the VR content with its background scene changing depending on the car motion; (3) particle flow -mixing in the VR content with the estimated motion flow of the car visualized as moving particles. Our experimental results show that motion sickness is reduced significantly (but not eliminated to a negligible level) using our approach.

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Controlling Visually Induced Self-Motion Perception: Effect of Overlapping Dynamic Visual Noise

Cited by 11 publications

References 19 publications

Prior Exposure to Dynamic Visual Displays Reduces Vection Onset Latency

Prior Exposure to Dynamic Visual Displays Reduces Vection Onset Latency

The Oscillating Potential Model of Visually Induced Vection

RideVR: Reducing Sickness for In-Car Virtual Reality by Mixed-in Presentation of Motion Flow Information

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