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Communication

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A Korean emotion-factor dataset for extracting emotion and factors in Korean conversations.

Scientific reports
Humans express their emotions in various ways, such as through facial expressions and voices. In particular, emotions are directly expressed or indirectly implied in the text of utterance. Research on the technology to identify emotions included in h...

Antropo: An open-source platform to increase the anthropomorphism of the Franka Emika collaborative robot arm.

PloS one
Robot-to-human communication is important for mutual understanding during human-robot collaboration. Most of the current collaborative robots (cobots) are designed with low levels of anthropomorphism. Therefore, the ability of cobots to express human...

Effect of having and switching multiple avatars on the operator's right to talk and receive social support.

PloS one
People with communication difficulties encounter several challenges in their daily online interactions, such as a limited right to talk (RoT), insufficient social support (SS), and a low sense of being attended to (SoBA). Computer-mediated technologi...

Large language models: Are artificial intelligence-based chatbots a reliable source of patient information for spinal surgery?

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
PURPOSE: Large language models (LLM) have recently attracted attention because of their enormous performance. Based on artificial intelligence, LLM enable dialogic communication using quasi-natural language that approximates the quality of human comm...

Natural language processing for mental health interventions: a systematic review and research framework.

Translational psychiatry
Neuropsychiatric disorders pose a high societal cost, but their treatment is hindered by lack of objective outcomes and fidelity metrics. AI technologies and specifically Natural Language Processing (NLP) have emerged as tools to study mental health ...

Temporal Convolutional Network-Based Signal Detection for Magnetotactic Bacteria Communication System.

IEEE transactions on nanobioscience
Molecular communication (MC) aims to use signaling molecules as information carriers to achieve communication between biological entities. However, MC systems severely suffer from inter symbol interference (ISI) and external noise, making it virtuall...

Artificial Intelligence to Improve Patient Understanding of Radiology Reports.

The Yale journal of biology and medicine
Diagnostic imaging reports are generally written with a target audience of other providers. As a result, the reports are written with medical jargon and technical detail to ensure accurate communication. With implementation of the 21st Century Cures ...

Fish-inspired robotic algorithm: mimicking behaviour and communication of schooling fish.

Bioinspiration & biomimetics
This study aims to present a novel flocking algorithm for robotic fish that will aid the study of fish in their natural environment. The algorithm, fish-inspired robotic algorithm (FIRA), amalgamates the standard flocking behaviors of attraction, ali...

Revolutionising dental technologies: a qualitative study on dental technicians' perceptions of Artificial intelligence integration.

BMC oral health
BACKGROUND: The integration of artificial intelligence (AI) in dentistry has the potential to revolutionise the field of dental technologies. However, dental technicians' views on the use of AI in dental technology are still sparse in the literature....

Direct speech reconstruction from sensorimotor brain activity with optimized deep learning models.

Journal of neural engineering
Development of brain-computer interface (BCI) technology is key for enabling communication in individuals who have lost the faculty of speech due to severe motor paralysis. A BCI control strategy that is gaining attention employs speech decoding from...