AIMC Topic: Communication

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The Efficacy of Conversational AI in Rectifying the Theory-of-Mind and Autonomy Biases: Comparative Analysis.

JMIR mental health
BACKGROUND: The increasing deployment of conversational artificial intelligence (AI) in mental health interventions necessitates an evaluation of their efficacy in rectifying cognitive biases and recognizing affect in human-AI interactions. These bia...

Fast finite-time quantized control of multi-layer networks and its applications in secure communication.

Neural networks : the official journal of the International Neural Network Society
This paper introduces a quantized controller to address the challenge of fast finite-time synchronization of multi-layer networks, where each layer represents a distinct type of interaction within complex systems. Firstly, based on the stability theo...

Twelve tips to afford students agency in programmatic assessment.

Medical teacher
Programmatic assessment is gaining traction in health professions education, emphasizing continuous, integrated appraisal to support holistic student development. Despite its adoption, effectively affording student agency within programmatic assessme...

The effect of empathy on remote social connections via paired robots.

PloS one
A range of devices and technologies are available to mediate social connections between geographically distant people. Some of these methods exploit awareness information to enhance the connectedness of distant users. However, the effect of user trai...

Era of Generalist Conversational Artificial Intelligence to Support Public Health Communications.

Journal of medical Internet research
The integration of artificial intelligence (AI) into health communication systems has introduced a transformative approach to public health management, particularly during public health emergencies, capable of reaching billions through familiar digit...

The promise of AI in healthcare: transforming communication and decision-making for patients.

Journal of communication in healthcare
By addressing communication gaps, the integration of AI tools in healthcare has a greater ability to improve decision-making and to empower patients with more control over their health. Current systems for navigating healthcare - such as finding prov...

A Comprehensive Analysis of a Social Intelligence Dataset and Response Tendencies Between Large Language Models (LLMs) and Humans.

Sensors (Basel, Switzerland)
In recent years, advancements in the interaction and collaboration between humans and have garnered significant attention. Social intelligence plays a crucial role in facilitating natural interactions and seamless communication between humans and Art...

Artificial Intelligence-Driven Translation Tools in Intensive Care Units for Enhancing Communication and Research.

International journal of environmental research and public health
UNLABELLED: There is a need to improve communication for patients and relatives who belong to cultural minority communities in intensive care units (ICUs). As a matter of fact, language barriers negatively impact patient safety and family participati...

Use of machine learning in occupational risk communication for healthcare workers: protocol for scoping review.

BMJ open
INTRODUCTION: With the development of technology, the use of machine learning (ML), a branch of computer science that aims to transform computers into decision-making agents through algorithms, has grown exponentially. This protocol arises from the n...

Imagining alternative futures with augmentative and alternative communication: a manifesto.

Medical humanities
This manifesto seeks to challenge dominant narratives about the future of augmentative and alternative communication (AAC). Current predictions are mainly driven by technological developments-technologies usually being developed for different markets...