LA Marsch - Neuropsychopharmacology, 2021 - nature.com
Advances in digital technologies and data analytics have created unparalleled opportunities to assess and modify health behavior and thus accelerate the ability of science to …
Smartphones enjoy high adoption rates around the globe. Rarely more than an arm's length away, these sensor-rich devices can easily be repurposed to collect rich and extensive …
J Sun, K Harris, S Vazire - Journal of personality and social …, 2020 - psycnet.apa.org
Social relationships are often touted as critical for well-being. However, the vast majority of studies on social relationships have relied on self-report measures of both social …
The spread of COVID-19 within any given country or community at the onset of the pandemic depended in part on the sheltering-in-place rate of its citizens. The pandemic led us to revisit …
P Kaur, A Dhir, S Chen, A Malibari, M Almotairi - Telematics and Informatics, 2020 - Elsevier
Few literature studies have investigated the relationships between different uses and gratifications (U&Gs) of mobile instant messaging (MIM) apps, continuation, and purchase …
The increasing availability of high–dimensional, fine–grained data about human behaviour, gathered from mobile sensing studies and in the form of digital footprints, is poised to …
Decades of research show that people's social lives are linked to their well-being. Yet, research on the relationship between social interactions and well-being has been largely …
Supervised machine learning (ML) is becoming an influential analytical method in psychology and other social sciences. However, theoretical ML concepts and predictive …
Background The assessment of behaviors related to mental health typically relies on self- report data. Networked sensors embedded in smartphones can measure some behaviors …