The experience sampling method on mobile devices

N Van Berkel, D Ferreira, V Kostakos - ACM Computing Surveys (CSUR), 2017 - dl.acm.org
The Experience Sampling Method (ESM) is used by scientists from various disciplines to
gather insights into the intra-psychic elements of human life. Researchers have used the …

[HTML][HTML] Smartphone-based ecological momentary assessment of well-being: A systematic review and recommendations for future studies

LP De Vries, BML Baselmans, M Bartels - Journal of Happiness Studies, 2021 - Springer
Feelings of well-being and happiness fluctuate over time and contexts. Ecological
Momentary Assessment (EMA) studies can capture fluctuations in momentary behavior, and …

[HTML][HTML] Predicting symptoms of depression and anxiety using smartphone and wearable data

I Moshe, Y Terhorst, K Opoku Asare, LB Sander… - Frontiers in …, 2021 - frontiersin.org
Background: Depression and anxiety are leading causes of disability worldwide but often
remain undetected and untreated. Smartphone and wearable devices may offer a unique …

Stress-related biosocial mechanisms of discrimination and African American health inequities

BJ Goosby, JE Cheadle… - Annual Review of …, 2018 - annualreviews.org
This review describes stress-related biological mechanisms linking interpersonal racism to
life course health trajectories among African Americans. Interpersonal racism, a form of …

[HTML][HTML] Predicting depression from smartphone behavioral markers using machine learning methods, hyperparameter optimization, and feature importance analysis …

K Opoku Asare, Y Terhorst, J Vega… - JMIR mHealth and …, 2021 - mhealth.jmir.org
Background Depression is a prevalent mental health challenge. Current depression
assessment methods using self-reported and clinician-administered questionnaires have …

Applied ambulatory assessment: Integrating idiographic and nomothetic principles of measurement.

AGC Wright, J Zimmermann - Psychological assessment, 2019 - psycnet.apa.org
Ambulatory assessment (AA; also known as ecological momentary assessment) has
enjoyed enthusiastic implementation in psychological research. The ability to assess …

[HTML][HTML] RADAR-base: open source mobile health platform for collecting, monitoring, and analyzing data using sensors, wearables, and mobile devices

Y Ranjan, Z Rashid, C Stewart, P Conde… - JMIR mHealth and …, 2019 - mhealth.jmir.org
Background: With a wide range of use cases in both research and clinical domains,
collecting continuous mobile health (mHealth) streaming data from multiple sources in a …

[HTML][HTML] Identifying behavioral phenotypes of loneliness and social isolation with passive sensing: statistical analysis, data mining and machine learning of …

A Doryab, DK Villalba, P Chikersal… - JMIR mHealth and …, 2019 - mhealth.jmir.org
Background: Feelings of loneliness are associated with poor physical and mental health.
Detection of loneliness through passive sensing on personal devices can lead to the …

GLOBEM dataset: multi-year datasets for longitudinal human behavior modeling generalization

X Xu, H Zhang, Y Sefidgar, Y Ren… - Advances in …, 2022 - proceedings.neurips.cc
Recent research has demonstrated the capability of behavior signals captured by
smartphones and wearables for longitudinal behavior modeling. However, there is a lack of …

Mobile sensing at the service of mental well-being: a large-scale longitudinal study

S Servia-Rodríguez, KK Rachuri, C Mascolo… - Proceedings of the 26th …, 2017 - dl.acm.org
Measuring mental well-being with mobile sensing has been an increasingly active research
topic. Pervasiveness of smartphones combined with the convenience of mobile app …