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Personality Disorders

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From multimodal features to behavioural inferences: A pipeline to model engagement in human-robot interactions.

PloS one
Modelling the engaging behaviour of humans using multimodal data collected during human-robot interactions has attracted much research interest. Most methods that have been proposed previously predict engaging behaviour directly from multimodal featu...

How well can an AI chatbot infer personality? Examining psychometric properties of machine-inferred personality scores.

The Journal of applied psychology
The present study explores the plausibility of measuring personality indirectly through an artificial intelligence (AI) chatbot. This chatbot mines various textual features from users' free text responses collected during an online conversation/inter...

Identifying Splitting Through Sentiment Analysis.

Journal of personality disorders
In Kernerg's Object Relations Theory model of personality pathology, splitting, the mutual polarization of aspects of experience, is thought to result in a failure of identity integration. The authors sought to identify a clinician-independent, autom...

[Artificial intelligence and psychiatry: questions from psychiatrists to ChatGPT].

Revue medicale suisse
Psychiatrists and psychotherapists specialising in the fields of addiction, personality disorders, ADHD and suicidal crisis, we questioned the ChatGPT artificial intelligence program in order to form an opinion on the quality of its answers to questi...

A deep learning approach to personality assessment: Generalizing across items and expanding the reach of survey-based research.

Journal of personality and social psychology
Traditional methods of personality assessment, and survey-based research in general, cannot make inferences about new items that have not been surveyed previously. This limits the amount of information that can be obtained from a given survey. In thi...

Attitudes towards AI: measurement and associations with personality.

Scientific reports
Artificial intelligence (AI) has become an integral part of many contemporary technologies, such as social media platforms, smart devices, and global logistics systems. At the same time, research on the public acceptance of AI shows that many people ...

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
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.