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Quantifying Everyday Ecologies: Principles for Manual Annotation of Many Hours of Infants' Lives
Everyday experiences are the experiences available to shape developmental change. Remarkable advances in devices used to record infants' and toddlers' everyday experiences, as well as in repositories to aggregate and share such recordings across teams of theorists, have yielded a potential...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8450442/ https://www.ncbi.nlm.nih.gov/pubmed/34552533 http://dx.doi.org/10.3389/fpsyg.2021.710636 |
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author | Mendoza, Jennifer K. Fausey, Caitlin M. |
author_facet | Mendoza, Jennifer K. Fausey, Caitlin M. |
author_sort | Mendoza, Jennifer K. |
collection | PubMed |
description | Everyday experiences are the experiences available to shape developmental change. Remarkable advances in devices used to record infants' and toddlers' everyday experiences, as well as in repositories to aggregate and share such recordings across teams of theorists, have yielded a potential gold mine of insights to spur next-generation theories of experience-dependent change. Making full use of these advances, however, currently requires manual annotation. Manually annotating many hours of everyday life is a dedicated pursuit requiring significant time and resources, and in many domains is an endeavor currently lacking foundational facts to guide potentially consequential implementation decisions. These realities make manual annotation a frequent barrier to discoveries, as theorists instead opt for narrower scoped activities. Here, we provide theorists with a framework for manually annotating many hours of everyday life designed to reduce both theoretical and practical overwhelm. We share insights based on our team's recent adventures in the previously uncharted territory of everyday music. We identify principles, and share implementation examples and tools, to help theorists achieve scalable solutions to challenges that are especially fierce when annotating extended timescales. These principles for quantifying everyday ecologies will help theorists collectively maximize return on investment in databases of everyday recordings and will enable a broad community of scholars—across institutions, skillsets, experiences, and working environments—to make discoveries about the experiences upon which development may depend. |
format | Online Article Text |
id | pubmed-8450442 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84504422021-09-21 Quantifying Everyday Ecologies: Principles for Manual Annotation of Many Hours of Infants' Lives Mendoza, Jennifer K. Fausey, Caitlin M. Front Psychol Psychology Everyday experiences are the experiences available to shape developmental change. Remarkable advances in devices used to record infants' and toddlers' everyday experiences, as well as in repositories to aggregate and share such recordings across teams of theorists, have yielded a potential gold mine of insights to spur next-generation theories of experience-dependent change. Making full use of these advances, however, currently requires manual annotation. Manually annotating many hours of everyday life is a dedicated pursuit requiring significant time and resources, and in many domains is an endeavor currently lacking foundational facts to guide potentially consequential implementation decisions. These realities make manual annotation a frequent barrier to discoveries, as theorists instead opt for narrower scoped activities. Here, we provide theorists with a framework for manually annotating many hours of everyday life designed to reduce both theoretical and practical overwhelm. We share insights based on our team's recent adventures in the previously uncharted territory of everyday music. We identify principles, and share implementation examples and tools, to help theorists achieve scalable solutions to challenges that are especially fierce when annotating extended timescales. These principles for quantifying everyday ecologies will help theorists collectively maximize return on investment in databases of everyday recordings and will enable a broad community of scholars—across institutions, skillsets, experiences, and working environments—to make discoveries about the experiences upon which development may depend. Frontiers Media S.A. 2021-09-06 /pmc/articles/PMC8450442/ /pubmed/34552533 http://dx.doi.org/10.3389/fpsyg.2021.710636 Text en Copyright © 2021 Mendoza and Fausey. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Mendoza, Jennifer K. Fausey, Caitlin M. Quantifying Everyday Ecologies: Principles for Manual Annotation of Many Hours of Infants' Lives |
title | Quantifying Everyday Ecologies: Principles for Manual Annotation of Many Hours of Infants' Lives |
title_full | Quantifying Everyday Ecologies: Principles for Manual Annotation of Many Hours of Infants' Lives |
title_fullStr | Quantifying Everyday Ecologies: Principles for Manual Annotation of Many Hours of Infants' Lives |
title_full_unstemmed | Quantifying Everyday Ecologies: Principles for Manual Annotation of Many Hours of Infants' Lives |
title_short | Quantifying Everyday Ecologies: Principles for Manual Annotation of Many Hours of Infants' Lives |
title_sort | quantifying everyday ecologies: principles for manual annotation of many hours of infants' lives |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8450442/ https://www.ncbi.nlm.nih.gov/pubmed/34552533 http://dx.doi.org/10.3389/fpsyg.2021.710636 |
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