Results 211 to 220 of about 363,780 (383)

Individual Determinants of Work Attendance: Evidence on the Role of Personality [PDF]

open access: yes
We investigate the influence of personality as measured by the Big Five personality scale on absenteeism using representative data for Germany. In particular, the 2005 wave of the German Socio-Economic Panel provides detailed information on socio ...
Fahr, René, Störmer, Susi
core  

RETRACTED: Artificial intelligence for emergency medical care

open access: yesHealth Care Science, EarlyView., 2023
‘Applications of artificial intelligence in emergency medical service’. Abstract There is increasing research into the potential benefits of incorporating artificial intelligence (AI) and machine learning algorithms into emergency medical services. AI is finding new applications across a wide range of sectors, one of which is healthcare, where it is ...
Shivam Rajput   +2 more
wiley   +1 more source

Is GPT-4 Less Politically Biased than GPT-3.5? A Renewed Investigation of ChatGPT's Political Biases [PDF]

open access: yesarXiv
This work investigates the political biases and personality traits of ChatGPT, specifically comparing GPT-3.5 to GPT-4. In addition, the ability of the models to emulate political viewpoints (e.g., liberal or conservative positions) is analyzed. The Political Compass Test and the Big Five Personality Test were employed 100 times for each scenario ...
arxiv  

Investigating Large Language Models in Inferring Personality Traits from User Conversations [PDF]

open access: yesarXiv
Large Language Models (LLMs) are demonstrating remarkable human like capabilities across diverse domains, including psychological assessment. This study evaluates whether LLMs, specifically GPT-4o and GPT-4o mini, can infer Big Five personality traits and generate Big Five Inventory-10 (BFI-10) item scores from user conversations under zero-shot ...
arxiv  

The relationship between social network usage and some personality traits [PDF]

open access: yes, 2017
The aim of the research, is to examine the relationship between adolescents' five-factor personality features by use of Social Media. As for sample, there are 548 girl and 441 boy students and they are between the ages of 11-18.
Bilgin, Mehmet, Yılmaz, Asena
core   +2 more sources

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