Personalized models of psychopathology

AGC Wright, WC Woods - Annual review of clinical psychology, 2020 - annualreviews.org
The personalized approach to psychopathology conceptualizes mental disorder as a
complex system of contextualized dynamic processes that is nontrivially specific to each …

Personality computing: New frontiers in personality assessment

LV Phan, JF Rauthmann - Social and personality psychology …, 2021 - Wiley Online Library
Personality Computing (PC) is a burgeoning field at the intersection of personality and
computer science that seeks to extract personality‐relevant information (eg, on Big Five trait …

Predicting personality from patterns of behavior collected with smartphones

C Stachl, Q Au, R Schoedel, SD Gosling… - Proceedings of the …, 2020 - pnas.org
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 …

[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 …

Personality research and assessment in the era of machine learning

C Stachl, F Pargent, S Hilbert… - European Journal …, 2020 - journals.sagepub.com
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 …

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

X Xu, H Zhang, Y Sefidgar, Y Ren… - Advances in neural …, 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 …

Insights from personalized models of brain and behavior for identifying biomarkers in psychiatry

B Kraus, R Zinbarg, RM Braga, R Nusslock… - Neuroscience & …, 2023 - Elsevier
A main goal in translational neuroscience is to identify neural correlates of psychopathology
(“biomarkers”) that can be used to facilitate diagnosis, prognosis, and treatment. This goal …

n-gage: Predicting in-class emotional, behavioural and cognitive engagement in the wild

N Gao, W Shao, MS Rahaman, FD Salim - Proceedings of the ACM on …, 2020 - dl.acm.org
The study of student engagement has attracted growing interests to address problems such
as low academic performance, disaffection, and high dropout rates. Existing approaches to …

Sensing wellbeing in the workplace, why and for whom? envisioning impacts with organizational stakeholders

A Kawakami, S Chowdhary, ST Iqbal, QV Liao… - Proceedings of the …, 2023 - dl.acm.org
With the heightened digitization of the workplace, alongside the rise of remote and hybrid
work prompted by the pandemic, there is growing corporate interest in using passive …

The Burnout PRedictiOn Using Wearable aNd ArtIficial IntelligEnce (BROWNIE) study: a decentralized digital health protocol to predict burnout in registered nurses

AR Wilton, K Sheffield, Q Wilkes, S Chesak, J Pacyna… - BMC nursing, 2024 - Springer
Background When job demand exceeds job resources, burnout occurs. Burnout in
healthcare workers extends beyond negatively affecting their functioning and physical and …