Movimiento y actividad en el aprendizaje perceptivo

Fernando Bermejo; Mercedes Ximena Hüg; Ezequiel. A. Di Paolo

doi:10.56294/sctconf2023108

Conference abstract

Published: 2023-04-24

DOI: https://doi.org/10.56294/sctconf2023108

Movement and activity in perceptual learning

Abstract

Understanding the role of self -generated movements in perceptual learning is essential for the theories of perception based on action, such as enactive.

During the second half of the twentieth century various behavioral studies focused on the role of movements self -generation as a necessary condition for learning different perceptual tasks. This work corpus received different critical interpretations, however interest in these debates has resurfaced within corporate cognitive science.

In this paper we make a brief review of these iconic studies and other own studies on activity and passivity in perception. Subsequently, in the light of the enactive perspective, we analyze methodological and theoretical aspects that can help to understand the complexity of this phenomenon.

In general terms, we postulate that aspects of the sensoriomotor agency such as the initiation, control and monitoring of the movement, assume different degrees of involvement in both passive and active tasks. We consider that this distinction is not binary and we propose a complex vision of the role of activity in perceptive perception and learning.

Keywords:

Perceptual Learning,

Self -Generated Movements,

Activity,

In Action,

How to Cite

Bermejo F, Hüg MX, Di Paolo EA. Movement and activity in perceptual learning. Salud, Ciencia y Tecnología - Serie de Conferencias [Internet]. 2023 Apr. 24 [cited 2024 Jul. 3];2:108. Available from: https://conferencias.saludcyt.ar/index.php/sctconf/article/view/108

Copyright Notice

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

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IV Jornadas de Fundamentos y Aplicaciones de la Interdisciplina (JFAI2023)

Vol. 2 (2023)

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