AIMC Topic: Personality
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Speech-based personality prediction using deep learning with acoustic and linguistic embeddings.
Scientific reports
Dec 3, 2024
This study introduces a novel method for predicting the Big Five personality traits through the analysis of speech samples, advancing the field of computational personality assessment. We collected data from 2045 participants who completed a self-rep...
Using deep learning and word embeddings for predicting human agreeableness behavior.
Scientific reports
Dec 2, 2024
The latest advancements of deep learning have resulted in a new era of natural language processing. The machines now possess an unparallel ability to interpret and engage with various tasks such as text classification, content generation and natural ...
Predictors for improvement in personality functioning during outpatient psychotherapy: A machine learning approach within a psychodynamic psychotherapy sample.
European psychiatry : the journal of the Association of European Psychiatrists
Nov 15, 2024
BACKGROUND: Since its introduction in the diagnostic manuals DSM-5 and ICD-11, the construct of personality functioning has gained increasing attention. However, it remains unclear which factors might predict improvement in personality functioning.
Using advanced machine learning algorithms to predict academic major completion: A cross-sectional study.
Computers in biology and medicine
Nov 12, 2024
BACKGROUND: Existing prediction methods for academic majors based on personality traits have notable gaps, including limited model complexity and generalizability.The current study aimed to utilize advanced Machine Learning (ML) algorithms with smoot...
AI can see you: Machiavellianism and extraversion are reflected in eye-movements.
PloS one
Aug 28, 2024
INTRODUCTION: Recent studies showed an association between personality traits and individual patterns of visual behaviour in laboratory and other settings. The current study extends previous research by measuring multiple personality traits in natura...
Revisiting the nature and strength of the personality-job performance relations: New insights from interpretable machine learning.
The Journal of applied psychology
Aug 12, 2024
Prior research on the relations between the five-factor model (FFM) of personality traits and job performance has suggested mixed findings: Some studies pointed to linear relations, while other studies revealed nonlinear relations. This study address...
Nursing Students' Personality Traits and Their Attitude toward Artificial Intelligence: A Multicenter Cross-Sectional Study.
Journal of nursing management
Aug 2, 2024
BACKGROUND: Despite the importance of studying factors contributing to nursing students' attitudes toward artificial intelligence, yet according to our knowledge, no study has addressed the relationship between personality traits and the attitude of ...
Predicting personality or prejudice? Facial inference in the age of artificial intelligence.
Current opinion in psychology
Jun 21, 2024
Facial inference, a cornerstone of person perception, has traditionally been studied through human judgments about personality traits and abilities based on people's faces. Recent advances in artificial intelligence (AI) have introduced new dimension...
Digital data and personality: A systematic review and meta-analysis of human perception and computer prediction.
Psychological bulletin
May 16, 2024
In recent years, our increasing use of technology has resulted in the production of vast amounts of data. Consequently, many researchers have analyzed digital data in attempt to understand its relationship with individuals' personalities. Such endeav...
Interactive effects of users' openness and robot reliability on trust: evidence from psychological intentions, task performance, visual behaviours, and cerebral activations.
Ergonomics
Apr 18, 2024
Although trust plays a vital role in human-robot interaction, there is currently a dearth of literature examining the effect of users' openness personality on trust in actual interaction. This study aims to investigate the interaction effects of user...
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