Researchers at North Carolina State University (NC State) Report New Data on Human-Machine Systems (Detecting Human Trust Calibration In Automation: a Convolutional Neural Network Approach)

摘要

By a News Reporter-Staff News Editor at Network Daily News – New research on Human-Machine Systems is the subject of a report. According to news reporting from Raleigh, North Carolina, by NewsRx journalists, research stated, “There is a general lack of studies that are aimed at monitoring and detecting an operator’s trust calibration, even though detecting someone’s adjusted trust towards automation is essential to prevent misuse and disuse of automation. The goal of this article is to propose a convolutional neural network (CNN) based framework to estimate operators’ trust levels and detect their trust calibration in automation using image features of electroencephalogram (EEG) signals preserving temporal, spectral, and spatial information.”