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Abstract:
INTRODUCTION: Much of the work on self-motion perception and simulation has investigated the contribution of
physical stimulus properties (so-called “bottom-up” factors). This paper provides an overview of recent experiments demonstrating that illusory self-motion perception can also benefit from “top-down” mechanisms, e.g. expectations, the interpretation and meaning associated with the stimulus, and the resulting spatial presence in the simulated environment.
METHODS: Several VR setups were used as a means to independently control different sensory modalities,
thus allowing for well-controlled and reproducible psychophysical experiments. Illusory self-motion perception
(vection) was induced using rotating visual or binaural auditory stimuli, presented via a curved projection screen
(FOV: 54x40.5°) or headphones, respectively. Additional vibrations, subsonic sound, or cognitive frameworks were
applied in some trials. Vection was quantified in terms of onset time, intensity, and convincingness ratings.
RESULTS DISCUSSION: Auditory vection studies showed that sound sources participants associated with stationary
“acoustic landmarks” (e.g., a fountain) can significantly increase the effectiveness of the self-motion illusion,
as compared to sound sources that are typically associated to moving objects (like the sound of footsteps). A
similar top-down effect was observed in a visual vection experiment: Showing a rotating naturalistic scene in VR
improved vection considerably compared to scrambled versions of the same scene. Hence, the possibility to interpret the stimulus as a stationary reference frame seems to enhance the self-motion perception, which challenges the prevailing opinion that self-motion perception is primarily bottom-up driven. Even the mere knowledge that one might potentially be moved physically increased the convincingness of the self-motion illusion significantly, especially when additional vibrations supported the interpretation that one was really moving. CONCLUSIONS: Various topdown mechanisms were shown to increase the effectiveness of self-motion simulations in VR, even though they have received little attention in the literature up to now. Thus, we posit that a perceptually-oriented approach that combines both bottom-up and top-down factors will ultimately enable us to optimize self-motion simulations in terms of both effectiveness and costs.
