ArticleFuture generations computer systems : FGCS2022
Exploratory Machine Learning Modeling of Adaptive and Maladaptive Personality Traits from Passively Sensed Behavior.
Article in Future generations computer systems : FGCS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Which emotion regulation strategy is efficient for whom? Reappraisal and suppression efficiency for adaptive and maladaptive personality profiles.Journal of personality · 2025Article
- Personality Pathology and Momentary Stress Processes.Clinical psychological science : a journal of the Association for Psychological Science · 2024Article
- Article
- How are poor sleepers with other clinical conditions affected by maladaptive personality traits? A neural network-based analysis.Frontiers in psychiatry · 2024Article
- Article
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Authors and funding
9 authors.
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Abstract
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 are associated with passively sensed behavior providing initial evidence for the utility of this type of data to study personality and its pathology. The analysis also suggests directions for future confirmatory studies into the underlying behavior patterns that link adaptive and maladaptive variants consistent with contemporary models of personality pathology.
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Registered trials
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