TY - JOUR
T1 - Use of passive sensing to quantify adolescent mobile device usage: Feasibility, acceptability, and preliminary validation of the eMoodie application
AU - Banga, Claire Ann
AU - Domoff, Sarah
N1 - Funding Information:
Faculty Research and Creative Endeavors Grant; Office of Research and Graduate Studies; Central Michigan University; Student and Early Career Council of the Society for Research in Child Development (SRCD), Grant/Award Number: Dissertation Research Funding Award Funding information
Funding Information:
Research presented in this manuscript was supported in part by the Faculty Research and Creative Endeavors Grant to Dr. Domoff from the Office of Research and Graduate Studies, Central Michigan University. Additionally, research was supported in part by the Dissertation Research Funding Award to Claire Ann Banga from the Student and Early Career Council of the Society for Research in Child Development (SRCD). We also would like to acknowledge SRCD and the Jacobs Foundation for their support of early career researchers in the area of digital media and child development. Guidance on the development of our pilot study was provided by mentors at the SRCD-Jacobs Foundation pre-conference workshop at the 2016 Special Topics Meeting on Technology and Media in Children's Development.
Funding Information:
Research presented in this manuscript was supported in part by the Faculty Research and Creative Endeavors Grant to Dr. Domoff from the Office of Research and Graduate Studies, Central Michigan University. Additionally, research was supported in part by the Dissertation Research Funding Award to Claire Ann Banga from the Student and Early Career Council of the Society for Research in Child Development (SRCD). We also would like to acknowledge SRCD and the Jacobs Foundation for their support of early career researchers in the area of digital media and child development. Guidance on the development of our pilot study was provided by mentors at the SRCD‐Jacobs Foundation pre‐conference workshop at the 2016 Special Topics Meeting on Technology and Media in Children's Development.
Funding Information:
Dr. Domoff is on the Board of the SmartGen Society, and regularly receives honoraria for speaking invitations to different academic and non‐profit institutions. Dr. Domoff has received funding from the National Institutes of Health. Ms. Banga developed the eMoodie application and consults with organizations and research teams to implement eMoodie for research and clinical purposes. Ms. Banga received funding to update and manage eMoodie during the course of the study.
Publisher Copyright:
© 2021 Wiley Periodicals LLC.
PY - 2021
Y1 - 2021
N2 - Utilizing the built-in features of smartphones, a novel app “eMoodie” (www.emoodie.com) was developed which passively collects information on app and smartphone/tablet usage including duration and time of use. Youth in the US and UK participated in piloting and validating eMoodie. In the first study, we evaluated the feasibility and acceptability of eMoodie in a sample of 23 parent–child dyads (N = 46), with children ages 10–12 years. Children downloaded eMoodie onto their device, which collected information on their screen time and app usage for seven consecutive days. Children responded to notifications via eMoodie to complete ecological momentary assessments (EMA) on wellbeing and digital media use. In the second study, caregiver-child dyads participated (N = 526) in a study conducted in Edinburgh, Scotland. Early adolescents (ages 11 to 14) participated in a remote study using eMoodie involving an EMA component, questionnaires, and passive sensing data collection over a 7-day EMA study. To examine the preliminary validity of using eMoodie, we evaluated whether app-enabled research may alter the behavior being studied. As youth are increasingly using mobile devices, capturing objective use and evaluating the correlates of such use on development grows ever more important. Remote data capture will be essential to continuing developmental research that cannot be facilitated in face-to-face settings due to the ongoing pandemic. As the first empirical investigation into the utility of an app that objectively measures adolescents' smartphone use, we summarize lessons learned in implementing this novel methodology and future directions for the measurement of mobile media.
AB - Utilizing the built-in features of smartphones, a novel app “eMoodie” (www.emoodie.com) was developed which passively collects information on app and smartphone/tablet usage including duration and time of use. Youth in the US and UK participated in piloting and validating eMoodie. In the first study, we evaluated the feasibility and acceptability of eMoodie in a sample of 23 parent–child dyads (N = 46), with children ages 10–12 years. Children downloaded eMoodie onto their device, which collected information on their screen time and app usage for seven consecutive days. Children responded to notifications via eMoodie to complete ecological momentary assessments (EMA) on wellbeing and digital media use. In the second study, caregiver-child dyads participated (N = 526) in a study conducted in Edinburgh, Scotland. Early adolescents (ages 11 to 14) participated in a remote study using eMoodie involving an EMA component, questionnaires, and passive sensing data collection over a 7-day EMA study. To examine the preliminary validity of using eMoodie, we evaluated whether app-enabled research may alter the behavior being studied. As youth are increasingly using mobile devices, capturing objective use and evaluating the correlates of such use on development grows ever more important. Remote data capture will be essential to continuing developmental research that cannot be facilitated in face-to-face settings due to the ongoing pandemic. As the first empirical investigation into the utility of an app that objectively measures adolescents' smartphone use, we summarize lessons learned in implementing this novel methodology and future directions for the measurement of mobile media.
M3 - Article
SN - 2578-1863
VL - 3
SP - 63
EP - 74
JO - Human Behavior and Emerging Technologies
JF - Human Behavior and Emerging Technologies
IS - 1
ER -