The impact of visually simulated self-motion on predicting object motion-A registered report protocol.

ABSTRACT: To interact successfully with moving objects in our environment we need to be able to predict their behavior. Predicting the position of a moving object requires an estimate of its velocity. When flow parsing during self-motion is incomplete-that is, when some of the retinal motion created by self-motion is incorrectly attributed to object motion-object velocity estimates become biased. Further, the process of flow parsing should add noise and lead to object velocity judgements being more variable during self-motion. Biases and lowered precision in velocity estimation should then translate to biases and lowered precision in motion extrapolation. We investigate this relationship between self-motion, velocity estimation and motion extrapolation with two tasks performed in a realistic virtual

SUBMITTER: Jorges B 

PROVIDER: S-EPMC9886253 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature