Automated measures of force and motion can improve our understanding of infants' motor persistence

Kelsey Lucca, David Gire, Rachel Horton, Jessica A. Sommerville

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Every day, young learners are confronted with challenges. The degree to which they persist in overcoming those challenges, and the different ways they persist, provides critical insights into the various cognitive, motoric, and affective processes that drive behavior. Here, we present a systematic overview of the methodologies that have been traditionally used to study persistence, and offer suggestions for new approaches to the study of persistence that will make strides in moving the field forward. We argue that automated measures of force and motion, which have long been used in the study of infants' motoric behavior, can provide a means to unravel the psychological processes that guide infants' trying behavior. To illustrate this, we present a case study that highlights the novel lessons to be learned by the use of automated measures of force and motion regarding infants' persistence, along with an analysis of the benefits and drawbacks of this approach, as well as detailed instructions for application. In sum, we conclude that these measures, when used in conjunction with more traditional approaches, will provide creative new insights into the nature and development of early persistence.

Original languageEnglish (US)
Pages (from-to)194-214
Number of pages21
JournalJournal of Motor Learning and Development
Volume8
Issue number1
DOIs
StatePublished - Apr 2020

Keywords

  • Automated behavioral analysis
  • Cognitive development
  • Infancy
  • Learning
  • Motor development
  • Persistence

ASJC Scopus subject areas

  • Biophysics
  • Orthopedics and Sports Medicine
  • Experimental and Cognitive Psychology
  • Cognitive Neuroscience

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