Automated sensing of daily activity: A new lens into development

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Rapidly maturing technologies for sensing and activity recognition can provide unprecedented access to the complex structure daily activity and interaction, promising new insight into the mechanisms by which experience shapes developmental outcomes. Motion data, autonomic activity, and “snippets” of audio and video recordings can be conveniently logged by wearable sensors (Lazer et al., 2009). Machine learning algorithms can process these signals into meaningful markers, from child and parent behavior to outcomes such as depression or teenage drinking. Theoretically motivated aspects of daily activity can be combined and synchronized to examine reciprocal effects between children’s behaviors and their environments or internal processes. Captured over longitudinal time, such data provide a new opportunity to study the processes by which individual differences emerge and stabilize. This paper introduces the reader to developments in sensing and activity recognition with implications for developmental phenomena across the lifespan, sketching a framework for leveraging mobile sensors for transactional analyses that bridge micro- and longitudinal- timescales of development. It finishes by detailing resources and best practices to facilitate the next generation of developmentalists to contribute to this emerging area.

Original languageEnglish (US)
Pages (from-to)444-464
Number of pages21
JournalDevelopmental Psychobiology
Volume61
Issue number3
DOIs
StatePublished - Apr 1 2019

Fingerprint

Transactional Analysis
Video Recording
Child Behavior
Practice Guidelines
Individuality
Lenses
Depression
Technology
Underage Drinking
Machine Learning

Keywords

  • daily interactions
  • dynamical systems theory
  • ecological validity
  • machine learning
  • wearable and mobile sensors

ASJC Scopus subject areas

  • Developmental and Educational Psychology
  • Developmental Neuroscience
  • Developmental Biology
  • Behavioral Neuroscience

Cite this

Automated sensing of daily activity : A new lens into development. / de Barbaro, Kaya.

In: Developmental Psychobiology, Vol. 61, No. 3, 01.04.2019, p. 444-464.

Research output: Contribution to journalArticle

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