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 …
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 …
computer science that seeks to extract personality‐relevant information (eg, on Big Five trait …
Predicting personality from patterns of behavior collected with smartphones
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 …
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 …
Background Depression is a prevalent mental health challenge. Current depression
assessment methods using self-reported and clinician-administered questionnaires have …
assessment methods using self-reported and clinician-administered questionnaires have …
Personality research and assessment in the era of machine learning
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 …
gathered from mobile sensing studies and in the form of digital footprints, is poised to …
n-gage: Predicting in-class emotional, behavioural and cognitive engagement in the wild
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 …
as low academic performance, disaffection, and high dropout rates. Existing approaches to …
GLOBEM dataset: multi-year datasets for longitudinal human behavior modeling generalization
Recent research has demonstrated the capability of behavior signals captured by
smartphones and wearables for longitudinal behavior modeling. However, there is a lack of …
smartphones and wearables for longitudinal behavior modeling. However, there is a lack of …
Sensing wellbeing in the workplace, why and for whom? envisioning impacts with organizational stakeholders
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 …
work prompted by the pandemic, there is growing corporate interest in using passive …
From personalized medicine to population health: a survey of mHealth sensing techniques
Mobile sensing systems have been widely used as a practical approach to collect
behavioral and health-related information from individuals and to provide timely intervention …
behavioral and health-related information from individuals and to provide timely intervention …
Personality sensing for theory development and assessment in the digital age
People around the world own digital media devices that mediate and are in close proximity
to their daily behaviours and situational contexts. These devices can be harnessed as …
to their daily behaviours and situational contexts. These devices can be harnessed as …