Literature DB >> 28103496

Toddlers' action prediction: Statistical learning of continuous action sequences.

Claire D Monroy1, Sarah A Gerson2, Sabine Hunnius3.   

Abstract

The current eye-tracking study investigated whether toddlers use statistical information to make anticipatory eye movements while observing continuous action sequences. In two conditions, 19-month-old participants watched either a person performing an action sequence (Agent condition) or a self-propelled visual event sequence (Ghost condition). Both sequences featured a statistical structure in which certain action pairs occurred with deterministic transitional probabilities. Toddlers learned the transitional probabilities between the action steps of the deterministic action pairs and made predictive fixations to the location of the next action in the Agent condition but not in the Ghost condition. These findings suggest that young toddlers gain unique information from the statistical structure contained within action sequences and are able to successfully predict upcoming action steps based on this acquired knowledge. Furthermore, predictive gaze behavior was correlated with reproduction of sequential actions following exposure to statistical regularities. This study extends previous developmental work by showing that statistical learning can guide the emergence of anticipatory eye movements during observation of continuous action sequences.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Action observation; Action prediction; Cognitive development; Eye-tracking; Statistical learning; Toddlers

Mesh:

Year:  2017        PMID: 28103496     DOI: 10.1016/j.jecp.2016.12.004

Source DB:  PubMed          Journal:  J Exp Child Psychol        ISSN: 0022-0965


  8 in total

Review 1.  Infant Statistical Learning.

Authors:  Jenny R Saffran; Natasha Z Kirkham
Journal:  Annu Rev Psychol       Date:  2017-08-09       Impact factor: 24.137

2.  Translating visual information into action predictions: Statistical learning in action and nonaction contexts.

Authors:  Claire D Monroy; Sarah A Gerson; Sabine Hunnius
Journal:  Mem Cognit       Date:  2018-05

3.  Statistical language learning in infancy.

Authors:  Jenny R Saffran
Journal:  Child Dev Perspect       Date:  2020-01-19

4.  People accurately predict the transition probabilities between actions.

Authors:  Mark A Thornton; Diana I Tamir
Journal:  Sci Adv       Date:  2021-02-26       Impact factor: 14.136

5.  Action prediction during real-time parent-infant interactions.

Authors:  Claire Monroy; Chi-Hsin Chen; Derek Houston; Chen Yu
Journal:  Dev Sci       Date:  2020-10-19

6.  Statistical learning in social action contexts.

Authors:  Claire Monroy; Marlene Meyer; Sarah Gerson; Sabine Hunnius
Journal:  PLoS One       Date:  2017-05-05       Impact factor: 3.240

7.  Visual statistical learning in deaf and hearing infants and toddlers.

Authors:  Claire Monroy; Chen Yu; Derek Houston
Journal:  Infancy       Date:  2022-05-07

8.  Infants' Motor Proficiency and Statistical Learning for Actions.

Authors:  Claire Monroy; Sarah Gerson; Sabine Hunnius
Journal:  Front Psychol       Date:  2017-12-12
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.