A neurological approach to classify trust through EEG signals using machine learning techniques-Reference-Cited by-同舟云学术

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A neurological approach to classify trust through EEG signals using machine learning techniques

Published:2022-11-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 3rd International Conference on Human-Machine Systems (ICHMS)
language:
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Author:

Firoz Kazi Farzana¹,Seong Younho¹,Oh Seeung¹

Affiliation:

1. North Carolina A& T State University,Department of Industrial and Systems Engineering,Greensboro,NC,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9980475/9980540/09980795.pdf?arnumber=9980795

Reference17 articles.

1. Neurological Measurement of Human Trust in Automation Using Electroencephalogram

2. Not All Trust Is Created Equal: Dispositional and History-Based Trust in Human-Automation Interactions

3. Integrating intelligent agents into human teams.

4. Trust in Automation

5. A Classification Model for Sensing Human Trust in Machines Using EEG and GSR

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A preliminary study of neural signals of Motor Imagery task of Arm movements through Electroencephalography data Classification with Machine Learning;2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS);2024-05-15

2. Extracting Human Levels of Trust in Human–Swarm Interaction Using EEG Signals;IEEE Transactions on Human-Machine Systems;2024-04

3. Neural Correspondence to Environmental Uncertainty in Multiple Probability Judgment Decision Support System;Lecture Notes in Computer Science;2024

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