This paper reintroduces the Effortless Assessment Research System (EARS), 4 years and 10,000 participants after its initial launch. EARS is a mobile sensing tool that affords researchers the opportunity to collect naturalistic, behavioral data via participants' naturalistic smartphone use. The first section of the paper highlights improvements made to EARS via a tour of EARS's capabilities-the most important of which is the expansion of EARS to the iOS operating system. Other improvements include better keyboard integration for the collection of typed text; full control of survey design and administration for research teams; and the addition of a researcher-facing EARS dashboard, which facilitates survey design, the enrollment of participants, and the tracking of participants. The second section of the paper goes behind the scenes to describe 3 challenges faced by the EARS developers-remote participant enrollment and tracking, keeping EARS running in the background, and continuous attention and effort toward data protection-and how those challenges shaped the design of the app.
Keywords: digital mental health; digital phenotyping; ecological momentary assessment; mobile sensing; passive sensing; personal sensing.
©Monika N Lind, Lauren E Kahn, Ryann Crowley, Wyatt Reed, Geordie Wicks, Nicholas B Allen. Originally published in JMIR Mental Health (https://mental.jmir.org), 26.04.2023.