Optimal Sampling Strategies for Characterizing Behavior and Affect From Ambulatory Audio Recordings
Advances in mobile and wearable technologies mean it is now feasible to record hours to days of participant behavior in its naturalistic context, a great boon for psychologists interested in family processes and development. While automated activity recognition algorithms exist for a limited set of...
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Published in: | Journal of family psychology Vol. 34; no. 8; pp. 980 - 990 |
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Main Authors: | , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
American Psychological Association
01-12-2020
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Subjects: | |
Online Access: | Get full text |
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Summary: | Advances in mobile and wearable technologies mean it is now feasible to record hours to days of participant behavior in its naturalistic context, a great boon for psychologists interested in family processes and development. While automated activity recognition algorithms exist for a limited set of behaviors, time-consuming human annotations are still required to robustly characterize the vast majority of behavioral and affective markers of interest. This report is the first to date which systematically tests the efficacy of different sampling strategies for characterizing behavior from audio recordings to provide practical guidelines for researchers. Using continuous audio recordings of the daily lives of 11 preschool-aged children, we compared sampling techniques to determine the most accurate and efficient approach. Results suggest that sampling both low and high frequency verbal and overt behaviors is best if samples are short in duration, systematically rather than randomly selected, and sampled to cover at least 12.5% of recordings. Implications for assessment of real-world behavior are discussed. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Megan Micheletti and Kaya de Barbaro, Department of Psychology, University of Texas at Austin; Michelle D. Fellows, Department of Social Sciences, College of Western Idaho; J. Gregory Hixon, Department of Psychology, University of Texas at Austin; Richard B. Slatcher, Department of Psychology, University of Georgia; James W. Pennebaker, Department of Psychology, University of Texas at Austin. |
ISSN: | 0893-3200 1939-1293 |
DOI: | 10.1037/fam0000654 |