AIMC Topic: Intention

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Hybrid Recurrent Neural Network Architecture-Based Intention Recognition for Human-Robot Collaboration.

IEEE transactions on cybernetics
Human-robot-collaboration requires robot to proactively and intelligently recognize the intention of human operator. Despite deep learning approaches have achieved certain results in performing feature learning and long-term temporal dependencies mod...

A method based on interpretable machine learning for recognizing the intensity of human engagement intention.

Scientific reports
To interact with humans more precisely and naturally, social robots need to "perceive" human engagement intention, especially need to recognize the main interaction person in multi-person interaction scenarios. By analyzing the intensity of human eng...

Classification of Motor Imagery EEG Signals Based on Data Augmentation and Convolutional Neural Networks.

Sensors (Basel, Switzerland)
In brain-computer interface (BCI) systems, motor imagery electroencephalography (MI-EEG) signals are commonly used to detect participant intent. Many factors, including low signal-to-noise ratios and few high-quality samples, make MI classification d...

Research of intent recognition in rehabilitation robots: a systematic review.

Disability and rehabilitation. Assistive technology
PURPOSE: Rehabilitation robots with intent recognition are helping people with dysfunction to enjoy better lives. Many rehabilitation robots with intent recognition have been developed by academic institutions and commercial companies. However, there...

A Sentiment Analysis Anomaly Detection System for Cyber Intelligence.

International journal of neural systems
Considering the 2030 United Nations intent of world connection, Cyber Intelligence becomes the main area of the human dimension able of inflicting changes in geopolitical dynamics. In cyberspace, the new battlefield is the mind of people including ne...

Smartwatch Sensors with Deep Learning to Predict the Purchase Intentions of Online Shoppers.

Sensors (Basel, Switzerland)
In the past decade, the scale of e-commerce has continued to grow. With the outbreak of the COVID-19 epidemic, brick-and-mortar businesses have been actively developing online channels where precision marketing has become the focus. This study propos...

How to Increase Sport Facility Users' Intention to Use AI Fitness Services: Based on the Technology Adoption Model.

International journal of environmental research and public health
Artificial intelligence (AI) has recently been introduced as a new way of analyzing and predicting sport consumer behavior. The goal of this study was to investigate the relationships among the perceived usefulness, perceived ease of use, the importa...

Association of artificial intelligence use and the retention of elderly caregivers: A cross-sectional study based on empowerment theory.

Journal of nursing management
AIM: The purpose of this study is to investigate how the use of artificial intelligence is associated with the retention of elderly caregivers.

Does AI explainability affect physicians' intention to use AI?

International journal of medical informatics
BACKGROUND: Artificial Intelligence (AI) is increasingly being developed to support clinical decisions for better health service quality, but the adoption of AI in hospitals is not as popular as expected. A possible reason is that the unclear AI expl...

Design and Purchase Intention Analysis of Cultural and Creative Goods Based on Deep Learning Neural Networks.

Computational intelligence and neuroscience
With the rise of cultural and creative industries, cultural creativity has gradually become an important factor to promote the value of design in the future, and it is also a trend to integrate "cultural elements" into the design of products. At pres...