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Title: Machine Learning Modeling of Adaptive and Maladaptive Personality Traits from Passively Sensed Behavior
Continuous passive sensing of daily behavior from mobile devices has the potential to identify behavioral patterns associated with different aspects of human characteristics. This paper presents novel analytic approaches to extract and understand these behavioral patterns and their impact on predicting adaptive and maladaptive personality traits. Our machine learning analysis extends previous research by showing that both adaptive and maladaptive traits can be predicted from passively sensed behavior providing initial evidence for the utility of this type of data to study personality and its pathology. The analysis also provides insights into the underlying behavior patterns that link adaptive and maladaptive variants consistent with contemporary models of personality pathology.  more » « less
Award ID(s):
1816687 2023762
PAR ID:
10294163
Author(s) / Creator(s):
Date Published:
Journal Name:
Future generation computer systems
ISSN:
0167-739X
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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