AIMC Topic: Communication

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Do large language models show decision heuristics similar to humans? A case study using GPT-3.5.

Journal of experimental psychology. General
A Large Language Model (LLM) is an artificial intelligence system trained on vast amounts of natural language data, enabling it to generate human-like responses to written or spoken language input. Generative Pre-Trained Transformer (GPT)-3.5 is an e...

The communication of artificial intelligence and deep learning in computer tomography image recognition of epidemic pulmonary infectious diseases.

PloS one
The objectives are to improve the diagnostic efficiency and accuracy of epidemic pulmonary infectious diseases and to study the application of artificial intelligence (AI) in pulmonary infectious disease diagnosis and public health management. The co...

PIRNet: Personality-Enhanced Iterative Refinement Network for Emotion Recognition in Conversation.

IEEE transactions on neural networks and learning systems
Emotion recognition in conversation (ERC) is important for enhancing user experience in human-computer interaction. Unlike vanilla emotion recognition in individual utterances, ERC aims to classify constituent utterances in a dialog into correspondin...

Understanding ChatGPT for evidence-based utilization in interventional radiology.

Clinical imaging
Advancement in artificial intelligence (AI) has the potential to improve the efficiency and accuracy of medical care. New techniques used in machine learning have enhanced the functionality of software to perform advanced tasks with human-like capabi...

Efficacy of ChatGPT in Cantonese Sentiment Analysis: Comparative Study.

Journal of medical Internet research
BACKGROUND: Sentiment analysis is a significant yet difficult task in natural language processing. The linguistic peculiarities of Cantonese, including its high similarity with Standard Chinese, its grammatical and lexical uniqueness, and its colloqu...

Conversational assessment using artificial intelligence is as clinically useful as depression scales and preferred by users.

Journal of affective disorders
BACKGROUND: Depression is prevalent, chronic, and burdensome. Due to limited screening access, depression often remains undiagnosed. Artificial intelligence (AI) models based on spoken responses to interview questions may offer an effective, efficien...

A Mood Semantic Awareness Model for Emotional Interactive Robots.

Sensors (Basel, Switzerland)
The rapid development of natural language processing technology and improvements in computer performance in recent years have resulted in the wide-scale development and adoption of human-machine dialogue systems. In this study, the Icc_dialogue model...

Consent-GPT: is it ethical to delegate procedural consent to conversational AI?

Journal of medical ethics
Obtaining informed consent from patients prior to a medical or surgical procedure is a fundamental part of safe and ethical clinical practice. Currently, it is routine for a significant part of the consent process to be delegated to members of the cl...

Shaping new norms for AI.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
As artificial intelligence (AI) becomes increasingly integrated into our lives, the need for new norms is urgent. However, AI evolves at a much faster pace than the characteristic time of norm formation, posing an unprecedented challenge to our socie...

Deep learning strategies with CReToNeXt-YOLOv5 for advanced pig face emotion detection.

Scientific reports
This study underscores the paramount importance of facial expressions in pigs, serving as a sophisticated mode of communication to gauge their emotions, physical well-being, and intentions. Given the inherent challenges in deciphering such expression...