[HTML][HTML] Capturing the dynamics of the social environment through experience sampling methods, passive sensing, and egocentric networks: Scoping review

AM Langener, G Stulp, MJ Kas, LF Bringmann - JMIR Mental Health, 2023 - mental.jmir.org
Background: Social interactions are important for well-being, and therefore, researchers are
increasingly attempting to capture people's social environment. Many different disciplines …

Toward data-driven digital therapeutics analytics: Literature review and research directions

U Lee, G Jung, EY Ma, J San Kim, H Kim… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
With the advent of digital therapeutics (DTx), the development of software as a medical
device (SaMD) for mobile and wearable devices has gained significant attention in recent …

Tracking depression dynamics in college students using mobile phone and wearable sensing

R Wang, W Wang, A DaSilva, JF Huckins… - Proceedings of the …, 2018 - dl.acm.org
There are rising rates of depression on college campuses. Mental health services on our
campuses are working at full stretch. In response researchers have proposed using mobile …

Investigating the relationships between mobility behaviours and indicators of subjective well–being using smartphone–based experience sampling and GPS tracking

SR Müller, H Peters, SC Matz… - European Journal of …, 2020 - journals.sagepub.com
People interact with their physical environments every day by visiting different places and
moving between them. Such mobility behaviours likely influence and are influenced by …

MyTraces: Investigating correlation and causation between users' emotional states and mobile phone interaction

A Mehrotra, F Tsapeli, R Hendley… - Proceedings of the ACM …, 2017 - dl.acm.org
Most of the existing work concerning the analysis of emotional states and mobile phone
interaction has been based on correlation analysis. In this paper, for the first time, we carry …

Towards multi-modal anticipatory monitoring of depressive states through the analysis of human-smartphone interaction

A Mehrotra, R Hendley, M Musolesi - … of the 2016 ACM international joint …, 2016 - dl.acm.org
Remarkable advances in smartphone technology, especially in terms of passive sensing,
have enabled researchers to passively monitor user behavior in real-time and at a …

Predicting smartphone operating system from personality and individual differences

H Shaw, DA Ellis, LR Kendrick, F Ziegler… - … , Behavior, and Social …, 2016 - liebertpub.com
Android and iPhone devices account for over 90 percent of all smartphones sold worldwide.
Despite being very similar in functionality, current discourse and marketing campaigns …

Do agile managed information systems projects fail due to a lack of emotional intelligence?

TT Luong, U Sivarajah, V Weerakkody - Information Systems Frontiers, 2021 - Springer
Agile development methodologies (ADM) have become a widely implemented project
management approach in Information Systems (IS). Yet, along with its growing popularity …

Movement patterns in women at risk for perinatal depression: use of a mood-monitoring mobile application in pregnancy

LJ Faherty, L Hantsoo, D Appleby… - Journal of the …, 2017 - academic.oup.com
Objectives: To examine, using a smartphone application, whether mood is related to daily
movement patterns in pregnant women at risk for perinatal depression. Materials and …

Tutorial on Matching-based Causal Analysis of Human Behaviors Using Smartphone Sensor Data

G Jung, S Park, EY Ma, H Kim, U Lee - ACM Computing Surveys, 2024 - dl.acm.org
Smartphones can unobtrusively capture human behavior and contextual data such as user
interaction and mobility. Thus far, smartphone sensor data have primarily been used to gain …