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- W4213306813 abstract "Big data are everywhere. In this chapter, we focus on one source: long-form, child-centered recordings collected using wearable technologies. Because these recordings are simultaneously unobtrusive and encompassing, they may be a breakthrough technology for clinicians and researchers from several diverse fields. We demonstrate this possibility by outlining three applications for the recordings-clinical treatment, large-scale interventions, and language documentation-where we see the greatest potential. We argue that incorporating these recordings into basic and applied research will result in more equitable treatment of patients, more reliable measurements of the effects of interventions on real-world behavior, and deeper scientific insights with less observational bias. We conclude by outlining a proposal for a semistructured online platform where vast numbers of long-form recordings could be hosted and more representative, less biased algorithms could be trained." @default.
- W4213306813 created "2022-02-24" @default.
- W4213306813 creator A5042831132 @default.
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- W4213306813 date "2022-01-01" @default.
- W4213306813 modified "2023-10-14" @default.
- W4213306813 title "Using big data from long-form recordings to study development and optimize societal impact" @default.
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- W4213306813 doi "https://doi.org/10.1016/bs.acdb.2021.12.001" @default.
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