Detection of sensorimotor contingencies in infants before the age of 1 year: A comprehensive review

Lisa Jacquey1, Jacqueline Fagard1, Rana Esseily2

  • 1Integrative Neuroscience and Cognition Center.

Insights

Infants learn through sensorimotor contingencies, connecting actions to sensory feedback. Research shows babies

Area of Science:

  • Developmental Psychology
  • Cognitive Science
  • Robotics and Artificial Intelligence

Background:

  • Infants require the detection of sensorimotor contingencies to explore their environment and bodies.
  • This ability is crucial for early development and has been extensively studied.
  • Recent literature suggests infants may not be uniformly sensitive to all sensorimotor contingencies.

Purpose of the Study:

  • To conduct a detailed literature review on sensorimotor contingency detection in infants under one year old.
  • To identify factors that facilitate or impede sensorimotor contingency detection in infants.
  • To highlight knowledge gaps in the field of infant sensorimotor contingency detection.

Main Methods:

  • A comprehensive review of existing literature on infant sensorimotor contingency detection.
  • Analysis focused on four key aspects: action/feedback characteristics, contingency parameters, exposure conditions, and interindividual differences.
  • Synthesis of findings to identify facilitators and barriers to detection.

Main Results:

  • Infant sensitivity to sensorimotor contingencies is not uniform.
  • Specific characteristics of actions, feedback, contingency parameters, exposure conditions, and individual differences influence detection.
  • Significant limitations exist in current knowledge regarding infant sensorimotor contingency detection.

Conclusions:

  • Further research is needed to fully understand infant sensorimotor contingency detection.
  • Advancing this field is critical due to its relevance in developmental robotics and artificial intelligence.
  • Understanding these mechanisms is key to developing more sophisticated AI and robotic systems that interact with humans.