AIMC Topic: Personality
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Leveraging deep learning for the detection of socially desirable tendencies in personnel selection: A proof-of-concept.
PloS one
Aug 5, 2025
We propose a deep learning-based method for detecting Socially Desirable Responding (SDR)-the tendency for individuals to distort questionnaire responses to present themselves in a favorable light. Our objective is to showcase that such novel methods...
Predicting Engagement With Conversational Agents in Mental Health Therapy by Examining the Role of Epistemic Trust, Personality, and Fear of Intimacy: Cross-Sectional Web-Based Survey Study.
JMIR human factors
Jul 30, 2025
BACKGROUND: The use of conversational agents (CAs) in mental health therapy is gaining traction due to their accessibility, anonymity, and nonjudgmental nature. However, understanding the psychological factors driving preferences for CA-based therapy...
An iterative approach to identify key predictive features of fear reactivity and fearfulness in horses (Equus caballus).
Scientific reports
Jul 9, 2025
This study extends previous findings by applying artificial intelligence (AI) methods to a larger dataset to identify key features that predict fear reactivity (i.e., immediate reaction to fear inducing stimuli) and fearfulness (i.e., a stable person...
Psychometric Evaluation of Large Language Model Embeddings for Personality Trait Prediction.
Journal of medical Internet research
Jul 8, 2025
BACKGROUND: Recent advancements in large language models (LLMs) have generated significant interest in their potential for assessing psychological constructs, particularly personality traits. While prior research has explored LLMs' capabilities in ze...
Using Artificial Intelligence to assess the impact of social, physical, and financial health and personality on subjective well-being in a representative, multinational sample of older European and Israeli adults.
Journal of global health
Jun 27, 2025
BACKGROUND: Subjective well-being (SWB) is an important outcome influenced by other aspects of health and personality. However, we know little about the independent effects of multiple health and personality dimensions on SWB in large, representative...
Text speaks louder: Insights into personality from natural language processing.
PloS one
Jun 18, 2025
In recent years, advancements in natural language processing (NLP) have enabled new approaches to personality assessment. This article presents an interdisciplinary investigation that leverages explainable AI techniques, particularly Integrated Gradi...
How mental health status and attitudes toward mental health shape AI Acceptance in psychosocial care: a cross-sectional analysis.
BMC psychology
Jun 6, 2025
INTRODUCTION: Artificial Intelligence (AI) has become part of our everyday lives and is also increasingly applied in psychosocial healthcare as it can enhance it, make it more accessible, and reduce barriers for help seeking. User behaviour and readi...
Using the Language of elite athletes to predict their personality and on court transgressions.
Scientific reports
May 16, 2025
Personality is predictive of many behaviors, but personality questionnaires cannot be readily administered to persons of interest. The language people use to express themselves can often predict personality and so should, in theory, provide a surroga...
Is personality associated with the lived experience of the NHS England low calorie diet programme: A pilot study.
Clinical obesity
Feb 25, 2025
This pilot study explored the use of a novel behavioural artificial intelligence (AI) tool to examine whether personality is associated with the lived experience of the NHS England launched a low calorie diet (LCD). A cross-sectional survey was disse...
Emotional stimulated speech-based assisted early diagnosis of depressive disorders using personality-enhanced deep learning.
Journal of affective disorders
Feb 4, 2025
BACKGROUND: Early diagnosis of depression is crucial, and speech-based early diagnosis of depression is promising, but insufficient data and lack of theoretical support make it difficult to be applied. Therefore, it is valuable to combine psychiatric...
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