The Role of Sensorimotor Contingencies and Eye Scanpath Entropy in Presence in Virtual Reality: a Reinforcement Learning Paradigm.

Esen Kucuktutuncu, Francisco Macia-Varela, Joan Llobera, Mel Slater
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Abstract

Sensorimotor contingencies (SC) refer to the rules by which we use our body to perceive. It has been argued that to the extent that a virtual reality (VR) application affords natural SC so the greater likelihood that participants will experience Place Illusion (PI), the illusion of 'being there' (a component of presence) in the virtual environment. However, notwithstanding numerous studies this only has anecdotal support. Here we used a reinforcement learning (RL) paradigm where 26 participants experienced a VR scenario where the RL agent could sequentially propose changes to 5 binary factors: mono or stereo vision, 3 or 6 degrees of freedom head tracking, mono or spatialised sound, low or high display resolution, or one of two color schemes. The first 4 are SC, whereas the last is not. Participants could reject or accept each change proposed by the RL, until convergence. Participants were more likely to accept changes from low to high SC than changes to the color. Additionally, theory suggests that increased PI should be associated with lower eye scanpath entropy. Our results show that mean entropy did decrease over time and the final level of entropy was negatively correlated with a post exposure questionnaire-based assessment of PI.

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Real-Time Neural Homogeneous Translucent Material Rendering Using Diffusion Blocks. Retraction Notice: iMetaTown: A Metaverse System with Multiple Interactive Functions Based on Virtual Reality. Unsupervised Non-Rigid Human Point Cloud Registration Based on Deformation Field Fusion. The Role of Sensorimotor Contingencies and Eye Scanpath Entropy in Presence in Virtual Reality: a Reinforcement Learning Paradigm. GlossyGS: Inverse Rendering of Glossy Objects With 3D Gaussian Splatting.
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