Literature DB >> 23964381

Vection in depth during treadmill walking.

April Ash1, Stephen Palmisano, Deborah Apthorp, Robert S Allison.   

Abstract

Vection has typically been induced in stationary observers (ie conditions providing visual-only information about self-motion). Two recent studies have examined vection during active treadmill walking--one reported that treadmill walking in the same direction as the visually simulated self-motion impaired vection (Onimaru et al, 2010 Journal of Vision 10(7):860), the other reported that it enhanced vection (Seno et al, 2011 Perception 40 747-750; Seno et al, 2011 Attention, Perception, & Psychophysics 73 1467-1476). Our study expands on these earlier investigations of vection during observer active movement. In experiment 1 we presented radially expanding optic flow and compared the vection produced in stationary observers with that produced during walking forward on a treadmill at a 'matched' speed. Experiment 2 compared the vection induced by forward treadmill walking while viewing expanding or contracting optic flow with that induced by viewing playbacks of these same displays while stationary. In both experiments subjects' tracked head movements were either incorporated into the self-motion displays (as simulated viewpoint jitter) or simply ignored. We found that treadmill walking always reduced vection (compared with stationary viewing conditions) and that simulated viewpoint jitter always increased vection (compared with constant velocity displays). These findings suggest that while consistent visual-vestibular information about self-acceleration increases vection, biomechanical self-motion information reduces this experience (irrespective of whether it is consistent or not with the visual input).

Mesh:

Year:  2013        PMID: 23964381     DOI: 10.1068/p7449

Source DB:  PubMed          Journal:  Perception        ISSN: 0301-0066            Impact factor:   1.490


  9 in total

1.  Inhibition of vection by grasping an object.

Authors:  Masaki Mori; Takeharu Seno
Journal:  Exp Brain Res       Date:  2018-09-12       Impact factor: 1.972

2.  Podokinetic circular vection: characteristics and interaction with optokinetic circular vection.

Authors:  W Becker; K Kliegl; J Kassubek; R Jürgens
Journal:  Exp Brain Res       Date:  2016-03-10       Impact factor: 1.972

3.  Optimal Frequency and Amplitude of Vertical Viewpoint Oscillation for Improving Vection Strength and Reducing Neural Constrains on Gait.

Authors:  Wei Wang; Kaiming Yang; Yu Zhu
Journal:  Entropy (Basel)       Date:  2021-04-28       Impact factor: 2.524

Review 4.  Future challenges for vection research: definitions, functional significance, measures, and neural bases.

Authors:  Stephen Palmisano; Robert S Allison; Mark M Schira; Robert J Barry
Journal:  Front Psychol       Date:  2015-02-27

5.  Evidence against an ecological explanation of the jitter advantage for vection.

Authors:  Stephen Palmisano; Robert S Allison; April Ash; Shinji Nakamura; Deborah Apthorp
Journal:  Front Psychol       Date:  2014-11-11

6.  The Oscillating Potential Model of Visually Induced Vection.

Authors:  Takeharu Seno; Ken-Ichi Sawai; Hidetoshi Kanaya; Toshihiro Wakebe; Masaki Ogawa; Yoshitaka Fujii; Stephen Palmisano
Journal:  Iperception       Date:  2017-11-24

7.  The effect of water immersion on vection in virtual reality.

Authors:  Géraldine Fauville; Anna C M Queiroz; Erika S Woolsey; Jonathan W Kelly; Jeremy N Bailenson
Journal:  Sci Rep       Date:  2021-01-13       Impact factor: 4.379

8.  The role of perceived speed in vection: does perceived speed modulate the jitter and oscillation advantages?

Authors:  Deborah Apthorp; Stephen Palmisano
Journal:  PLoS One       Date:  2014-03-20       Impact factor: 3.240

9.  Virtual Walking Sensation by Prerecorded Oscillating Optic Flow and Synchronous Foot Vibration.

Authors:  Michiteru Kitazaki; Takeo Hamada; Katsuya Yoshiho; Ryota Kondo; Tomohiro Amemiya; Koichi Hirota; Yasushi Ikei
Journal:  Iperception       Date:  2019-10-15
  9 in total

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