AIMC Topic: Anxiety
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Deep learning for the prediction of clinical outcomes in internet-delivered CBT for depression and anxiety.
PloS one
Nov 27, 2023
In treating depression and anxiety, just over half of all clients respond. Monitoring and obtaining early client feedback can allow for rapidly adapted treatment delivery and improve outcomes. This study seeks to develop a state-of-the-art deep-learn...
Effects of Prior Robot Experience, Speed, and Proximity on Psychosocial Reactions to a Soft Growing Robot.
IISE transactions on occupational ergonomics and human factors
Nov 25, 2023
OCCUPATIONAL APPLICATIONSAfter viewing video vignettes of human interactions with a novel soft growing robot, we found that participants reported fewer perceived safety hazards, less anxiety and fear about robots, reduced social hesitancy about human...
American public opinion on artificial intelligence in healthcare.
PloS one
Nov 9, 2023
Billions of dollars are being invested into developing medical artificial intelligence (AI) systems and yet public opinion of AI in the medical field seems to be mixed. Although high expectations for the future of medical AI do exist in the American ...
Wearable Artificial Intelligence for Detecting Anxiety: Systematic Review and Meta-Analysis.
Journal of medical Internet research
Nov 8, 2023
BACKGROUND: Anxiety disorders rank among the most prevalent mental disorders worldwide. Anxiety symptoms are typically evaluated using self-assessment surveys or interview-based assessment methods conducted by clinicians, which can be subjective, tim...
Innovating pediatric care with social robots to alleviate anxiety.
Paediatric anaesthesia
Nov 7, 2023
Identifying self-disclosed anxiety on Twitter: A natural language processing approach.
Psychiatry research
Nov 3, 2023
BACKGROUND: Text analyses of social media posts are a promising source of mental health information. This study used natural language processing to explore distinct language patterns on Twitter related to self-reported anxiety diagnosis.
Identifying multilevel predictors of trajectories of psychopathology and resilience among juvenile offenders: A machine learning approach.
Development and psychopathology
Aug 22, 2023
Mental ill health is more common among juvenile offenders relative to adolescents in general. Little is known about individual differences in their long-term psychological adaptation and its predictors from multiple aspects of their life. This study ...
Exploring intellectual humility through the lens of artificial intelligence: Top terms, features and a predictive model.
Acta psychologica
Jul 17, 2023
Intellectual humility (IH) is often conceived as the recognition of, and appropriate response to, your own intellectual limitations. As far as we are aware, only a handful of studies look at interventions to increase IH - e.g. through journalling - a...
A video processing and machine learning based method for evaluating safety-critical operator engagement in a motorway control room.
Ergonomics
Jun 27, 2023
In safety-critical automatic systems, safety can be compromised if operators lack engagement. Effective detection of undesirable engagement states can inform the design of interventions for enhancing engagement. However, the existing engagement measu...
No person is an island: Unpacking the work and after-work consequences of interacting with artificial intelligence.
The Journal of applied psychology
Jun 12, 2023
The artificial intelligence (AI) revolution has arrived, as AI systems are increasingly being integrated across organizational functions into the work lives of employees. This coupling of employees and machines fundamentally alters the work-related i...
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