Exploratory machine learning modeling of adaptive and maladaptive personality traits from passively sensed behavior

R Yan, WR Ringwald, J Vega, M Kehl, SW Bae… - Future Generation …, 2022 - Elsevier
Continuous passive sensing of daily behavior from mobile devices has the potential to
identify behavioral patterns associated with different aspects of human characteristics. This …

Sensing behavioral change over time: Using within-person variability features from mobile sensing to predict personality traits

W Wang, GM Harari, R Wang, SR Müller… - Proceedings of the …, 2018 - dl.acm.org
Personality traits describe individual differences in patterns of thinking, feeling, and
behaving (" between-person" variability). But individuals also show changes in their own …

Mobile sensing in personality science

F Beierle, SC Matz, M Allemand - Mobile sensing in psychology …, 2023 - books.google.com
Advances in mobile technology and the ubiquity of the smartphone have allowed a deeper
understanding of aspects of personality than is possible with traditional self-report methods …

Mobile sensing for studying personality dynamics in daily life

GM Harari, C Stachl, SR Müller, SD Gosling - The handbook of personality …, 2021 - Elsevier
People's thoughts, feelings, and behaviors can vary a great deal over situations and time.
Such dynamic patterns are difficult to assess using traditional survey-and lab-based …

Using mobile sensors to study personality dynamics

BM Wiernik, DS Ones, BM Marlin… - European Journal …, 2020 - econtent.hogrefe.com
Research interest in personality dynamics over time is rapidly growing. Passive personality
assessment via mobile sensors offers an intriguing new approach for measuring a wide …

Predicting personality traits using smartphone sensor data and app usage data

NK Kambham, KG Stanley, S Bell - 2018 IEEE 9th Annual …, 2018 - ieeexplore.ieee.org
Human behavior is complex-often defying explanation using traditional mathematical
models. Intermediate forms, such as those gleaned from personality inventories can be …

Leveraging collaborative-filtering for personalized behavior modeling: a case study of depression detection among college students

X Xu, P Chikersal, JM Dutcher, YS Sefidgar… - Proceedings of the …, 2021 - dl.acm.org
The prevalence of mobile phones and wearable devices enables the passive capturing and
modeling of human behavior at an unprecedented resolution and scale. Past research has …

Personality sensing for theory development and assessment in the digital age

GM Harari, SS Vaid, SR Müller… - European Journal …, 2020 - journals.sagepub.com
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 …

Behavioral patterns in smartphone usage predict big five personality traits

C Stachl, Q Au, R Schoedel, D Buschek, S Völkel… - 2019 - osf.io
The understanding, quantification and evaluation of individual differences in behavior,
feelings and thoughts have always been central topics in psychological science. An …

Digital footprints: Predicting personality from temporal patterns of technology use

T Grover, G Mark - Proceedings of the 2017 acm international joint …, 2017 - dl.acm.org
Psychometric modeling using digital data traces is a growing field of research with a breadth
of potential applications in marketing, personalization and psychological assessment. We …