Rotational Jitter around the Observer’s Line of Sight Can Facilitate Visually Induced Perception of Forward Self-Motion (Forward Vection)

Nakamura, Shinji

doi:10.1163/22134808-00002431

Cited by 4 publications

(3 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They added horizontal and vertical head translations of random amplitudes to optic flow simulating self-motion in depth. This simulated random change in coronal head position (or jitter) was found to enhance the strength of vection generated by expanding optic flow simulating self-motion in depth (see also Nakamura, 2012 ). This vection increase was also observed when adding sinusoidal changes in simulated linear head position to optic flow simulating self-motion in depth ( Kim and Palmisano, 2008 ; Palmisano et al, 2008 , 2011 ; Seno et al, 2011 ; Kim and Khuu, 2014 ).…”

Section: Introductionmentioning

confidence: 94%

The Oculus Rift: a cost-effective tool for studying visual-vestibular interactions in self-motion perception

et al. 2015

Self Cite

View full text Add to dashboard Cite

For years now, virtual reality devices have been applied in the field of vision science in an attempt to improve our understanding of perceptual principles underlying the experience of self-motion. Some of this research has been concerned with exploring factors involved in the visually-induced illusory perception of self-motion, known as vection. We examined the usefulness of the cost-effective Oculus Rift in generating vection in seated observers. This device has the capacity to display optic flow in world coordinates by compensating for tracked changes in 3D head orientation. We measured vection strength in three conditions of visual compensation for head movement: compensated, uncompensated, and inversely compensated. During presentation of optic flow, the observer was instructed to make periodic head oscillations (±22° horizontal excursions at approximately 0.53 Hz). We found that vection was best in the compensated condition, and was weakest in the inversely compensated condition. Surprisingly, vection was always better in passive viewing conditions, compared with conditions where active head rotations were performed. These findings suggest that vection is highly dependent on interactions between visual, vestibular and proprioceptive information, and may be highly sensitive to limitations of temporal lag in visual-vestibular coupling using this system.

show abstract

Section: Introductionmentioning

confidence: 94%

The Oculus Rift: a cost-effective tool for studying visual-vestibular interactions in self-motion perception

et al. 2015

Self Cite

View full text Add to dashboard Cite

show abstract

“…In our review of the recent literature, we found more than 50 papers where all three of these measures were obtained in the same experiment (see Allison, Ash, & Palmisano, 2014 ; Apthorp & Palmisano, 2014 ; Bonato & Bubka, 2006 ; Bonato, Bubka, Palmisano, Phillip, & Moreno, 2008 ; Brandt et al., 1973 ; Bubka & Bonato, 2010 ; Bubka et al., 2008 ; Gurnsey, Fleet, & Potechin, 1998 ; Guterman, Allison, Palmisano, & Zacher, 2012 ; Keshavarz et al., 2015 ; Keshavarz, Speck, Haycock, & Berti, 2017 ; Kim & Palmisano, 2008 , 2010a ; Mohler, Thompson, Riecke, & Bülthoff, 2005 ; Nakamura, 2006 , 2010 , 2012 , 2013a , 2013b , 2013c , 2013d , 2013e ; Nakamura, Palmisano, & Kim, 2016 ; Nakamura, Seno, Ito, & Sunaga, 2010 , 2013 ; Nakamura & Shimojo, 1998 , 1999 , 2003 ; Ogawa, Ito, & Seno, 2015 ; Ogawa & Seno, 2014 ; Ogawa, Seno, Matsumori, & Higuchi, 2015 ; Palmisano, 1996 ; Palmisano, Burke, & Allison, 2003 ; Palmisano & Chan, 2004 ; Palmisano, Gillam, & Blackburn, 2000 ; Palmisano & Kim, 2009 ; Palmisano et al., 2011 , 2015 ; Palmisano, Summersby, Davies & Kim, 2016 ; Riecke et al., 2006 , 2009; R...…”

Section: The Opvmmentioning

confidence: 99%

The Oscillating Potential Model of Visually Induced Vection

et al. 2017

View full text Add to dashboard Cite

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.

show abstract

“…Contrary to both of these predictions, we now know that vection can be significantly enhanced by adding a variety of visually simulated self-accelerations to smooth, constant self-motion displays (Palmisano et al, 2000, 2003, 2007, 2008; Palmisano and Chan, 2004; Kim and Palmisano, 2008; Bubka and Bonato, 2010; Nakamura, 2010, 2012; Kim et al, 2012; Apthorp and Palmisano, 2014; Kim and Khuu, 2014). Despite the expected increases in sensory conflict, adding visually simulated viewpoint jitter to optic flow has been shown to significantly decrease vection onset latencies, lengthen vection durations and strengthen vection ratings (e.g., Palmisano et al, 2000; see Palmisano et al, 2011 for a review).…”

Section: Introductionmentioning

confidence: 76%

Evidence against an ecological explanation of the jitter advantage for vection

et al. 2014

Self Cite

View full text Add to dashboard Cite

Visual-vestibular conflicts have been traditionally used to explain both perceptions of self-motion and experiences of motion sickness. However, sensory conflict theories have been challenged by findings that adding simulated viewpoint jitter to inducing displays enhances (rather than reduces or destroys) visual illusions of self-motion experienced by stationary observers. One possible explanation of this jitter advantage for vection is that jittering optic flows are more ecological than smooth displays. Despite the intuitive appeal of this idea, it has proven difficult to test. Here we compared subjective experiences generated by jittering and smooth radial flows when observers were exposed to either visual-only or multisensory self-motion stimulations. The display jitter (if present) was generated in real-time by updating the virtual computer-graphics camera position to match the observer’s tracked head motions when treadmill walking or walking in place, or was a playback of these head motions when standing still. As expected, the (more naturalistic) treadmill walking and the (less naturalistic) walking in place were found to generate very different physical head jitters. However, contrary to the ecological account of the phenomenon, playbacks of treadmill walking and walking in place display jitter both enhanced visually induced illusions of self-motion to a similar degree (compared to smooth displays).

show abstract

Rotational Jitter around the Observer’s Line of Sight Can Facilitate Visually Induced Perception of Forward Self-Motion (Forward Vection)

Cited by 4 publications

References 14 publications

The Oculus Rift: a cost-effective tool for studying visual-vestibular interactions in self-motion perception

The Oculus Rift: a cost-effective tool for studying visual-vestibular interactions in self-motion perception

The Oscillating Potential Model of Visually Induced Vection

Evidence against an ecological explanation of the jitter advantage for vection

Contact Info

Product

Resources

About