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A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

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Reintroducing the Effortless Assessment Research System (EARS).

Monika N Lind¹, Lauren E Kahn¹, Ryann Crowley¹

¹Center for Digital Mental Health, University of Oregon, Eugene, OR, United States.

JMIR Mental Health

|April 26, 2023

Summary

The Effortless Assessment Research System (EARS) mobile tool now supports iOS, enhancing naturalistic behavioral data collection. This update improves participant tracking and data security for researchers using smartphone data.

Keywords:

digital mental health digital phenotyping ecological momentary assessment mobile sensing passive sensing personal sensing

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Area of Science:

Mobile Health
Behavioral Data Collection
Digital Phenotyping

Background:

The Effortless Assessment Research System (EARS) is a mobile sensing tool for collecting naturalistic behavioral data.
Initial launch was 4 years ago, with over 10,000 participants contributing data.
Previous versions primarily focused on Android, limiting broader research applications.

Purpose of the Study:

To reintroduce the enhanced Effortless Assessment Research System (EARS).
To detail significant improvements and new features in EARS.
To discuss developmental challenges and their impact on EARS's design.

Main Methods:

Expansion of EARS to the iOS operating system.
Integration of improved keyboard functionality for typed text data collection.
Development of a researcher-facing dashboard for survey design, participant enrollment, and tracking.

Main Results:

EARS now supports both major mobile operating systems (iOS and Android).
Enhanced features include robust survey design control and participant management.
The researcher dashboard streamlines study administration and participant monitoring.

Conclusions:

EARS provides a powerful, versatile platform for naturalistic behavioral data collection.
The system's design addresses key challenges in remote data acquisition and data protection.
Expanded capabilities facilitate wider adoption in diverse research settings.