Ecological Momentary Assessment and Intervention (EMA/EMI) Platform
A scientifically validated Ecological Momentary Assessment (EMA) and Experience Sampling (ESM) platform built for mental and physical health research. Validated by our founder's research and independent academic and clinical studies, including by the World Health Organisation, across various age groups from late childhood through to older adult cohorts. More recently, the platform has been adapted for intervention studies (EMI).
Trusted by leading research institutions and validated through independent academic studies.
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Validation study of eMoodie with youth. Sample consisted of secondary school sample of early adolescents in Edinburgh. Study evaluated the effects of digital technology use on emotional development with a focus on empathy, sleep, and mental health.
WHO funded longitudinal study in Argentina, Colombia, and Peru (using Spanish translation of app) using ESM 'burst' design. Research evaluates impact of resource deprivation on trajectories of recovery from depression and anxiety in adolescents and young adults.
Edinburgh University undergraduate student study evaluating the impact of digital technology use patterns including media multitasking & screen-time on attention, task-switching, cognitive control, and sleep. Study employed ESM, smartphone sensing, and follow up, in-person behavioural and cognitive testing.
A project based out of University of Graz, Austria, using an international sample of teachers specializing in language education. The study evaluated dynamic models of stressors and uplifts in relation to wellbeing and pedagogical outcomes.
University of Waterloo Study on young adult maturity in an undergraduate student sample. The study evaluates the associations between daily activities, comparisons with peers, health and personality factors on momentary perceptions of maturity.
A university student experience study conducted in collaboration with Edinburgh University's Student Experience Department. The study evaluates real-time assessments of students' wellbeing in relation to their on-campus experiences of the university's academic, social, and professional services.
A Central Michigan University study of children and early adolescents evaluating night-time smartphone/tablet usage on sleep and behavioral outcomes such as cyberbullying. All participants wore actigraphy watches throughout the study period in order to cross-validate the capability of passive smartphone sensing to predict sleep indices.
University College London study on the effects of the psychedelic DMT on treatment resistant psychiatric disorders such as depression. Using a combination of neuroscientific and EMA methods, the study will explore the mediating role of language on recovery.
University of Canberra Department of Optometry study on the effects of screen-time on vision in early childhood. Parents will assist their 3-8 year old children to log their screen-time using eMoodie Labs. This is a pilot study for a future project seeking to monitor eye sight outcomes using smartphone sensors and EMA.
University of Edinburgh, Dept. of Psychiatry study on adults from the Generation Scotland cohort (total n > 24,000) looking at how depression changes in day-to-day settings to identify promising targets for mental health interventions. The study will follow participants daily for three weeks to identify important patterns in symptom changes.
University of Melbourne, Dept. of Transport Engineering will use eMoodie Labs smartphone sensing capabilities to track the technology use of university students while they are in transit. This will involve monitoring the accelerometer, GPS, and screen-time usage data of users on a daily basis whilst they engage in their daily transport routines.
University of Exeter deployed a multi-study research programme using eMoodie Labs to investigate physical activity in primary school children. The research examines everyday activity patterns alongside psychological wellbeing, supporting the development of improved methods for promoting physical activity in childhood.
Use of passive sensing to quantify adolescent mobile device usage: Feasibility, acceptability, and preliminary validation of the eMoodie application. Human Behavior and Emerging Technologies, 3, 63–74. doi.org/10.1002/hbe2.247
Which resources help young people to prevent and overcome mental distress in deprived urban areas in Latin America? A protocol for a prospective cohort study. BMJ Open, 11(9), e052339. doi.org/10.1136/bmjopen-2021-052339
Which personal and social resources help adolescents to recover from negative affect in daily life? An experience sampling study. Journal of Child & Adolescent Mental Health, 36(1), 86–107. doi.org/10.2989/17280583.2024.2385308
Fluctuations in daily happiness and nervousness based on depressive and anxious symptoms in adolescents or young adults across 3 Latin American cities: Experience sampling study. JMIR Formative Research, 9, e65732. doi.org/10.2196/65732
Understanding language teacher wellbeing: An ESM study of daily stressors and uplifts. Language Teaching Research, 27(4), 862–883. doi.org/10.1177/1362168820965897
Saving SAM — eMoodie’s overdose monitoring and alert system, developed with the University of Edinburgh and NHS Fife/HSES through the UK Government-backed Reducing Drug Deaths Innovation Challenge, received £600,000 across the two phases.
