Optimal sampling strategies for characterizing behavior and affect from ambulatory audio recordings.

ABSTRACT: 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 ac

SUBMITTER: Micheletti M 

PROVIDER: S-EPMC7544678 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature