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Prediction in goal-directed action
Author(s) -
Katja Fiehler,
Eli Brenner,
Miriam Spering
Publication year - 2019
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/19.9.10
Subject(s) - action (physics) , computer science , eye movement , artificial intelligence , event (particle physics) , cognitive psychology , neuroscience , cognitive science , machine learning , psychology , physics , quantum mechanics
Prediction allows humans and other animals to prepare for future interactions with their environment. This is important in our dynamically changing world that requires fast and accurate reactions to external events. Knowing when and where an event is likely to occur allows us to plan eye, hand, and body movements that are suitable for the circumstances. Predicting the sensory consequences of such movements helps to differentiate between self-produced and externally generated movements. In this review, we provide a selective overview of experimental studies on predictive mechanisms in human vision for action. We present classic paradigms and novel approaches investigating mechanisms that underlie the prediction of events guiding eye and hand movements.

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