Assessment of the Efficiency of Operators Work in Solving Test Problems in the Structure of Intelligent Interfaces

• Main Authors: Pisarev, Ivan A., Kotova, Elena E., Pisarev, Andrei S., Stash, Natalia V.
• Format: Conference Proceeding
• Language: English
• Subjects: automated machine learning; human machine interface; hydroacoustic monitoring; Interference; Man-machine systems; Monitoring; Software algorithms; Task analysis; Training; Trajectory; weighted least squares
• ISSN: 2376-6565
• DOI: 10.1109/EIConRus49466.2020.9039331

The paper presents a cognitive approach to evaluating the effectiveness of operators work in solving test problems in the structure of intelligent interfaces. The insufficiently effective implementation of human-machine interfaces (HMI) in real-time systems is one of the main risk factors that affect errors and reduce the quality of decisions made by operators. Research and optimization of operator interaction interfaces with systems of spatio-temporal data systems in order to reduce the response time to possible threats and improve the accuracy of decisions is an urgent task. The report proposed new algorithms for evaluating and optimizing the effectiveness of intelligent graphics and natural-languages human-machine interfaces, taking into account the influence of cognitive parameters of operators and their professional knowledge. The OntoProject-Trajectory software package has been developed with the functions of a simulator in an automated environment that supports operator training. The algorithms for simulating the complexes of spatio-temporal data are implemented using hydroacoustic monitoring data as an example. This software package is used in the field of scientific research of automated human-machine systems for analyzing data of hydroacoustic monitoring of the water area. Testing conducted on synthetic and real data sets.