METHODOLOGY OF TESTING MULTI-CHANNEL HUMAN-MACHINE INTERFACE
https://doi.org/10.26583/vestnik.2023.266
Abstract
Currently, the research and development of an effective human-machine interface for robotic complexes is relevant. To increase the efficiency of controlling a robotic complex, several interfaces operating in parallel mode can be used. In particular, there is a multi-channel human-machine interface, which involves the interaction of several interfaces. There are various algorithms for the interaction of several interfaces aimed at selecting a command that needs to be sent to the robotic complex at a given time. To justify the feasibility of the interaction algorithms, it is necessary to apply a methodology for testing a multi-channel human-machine interface. This article considers different approaches to the implementation of this methodology: based on the statistical test method and based on modeling of results. Based on the results of statistics collection, confusion matrices are formed. In this article, different types of confusion matrices are considered, as well as metrics that can be used to evaluate the efficiency of the human-machine interface taking into account type I and II errors. In the case of modeling the results, this article are considered modeling based on the type of distribution and modeling based on generating a confusion matrix. Simulation of results can be used when it is impossible to collect large statistics, to check the feasibility of using interaction algorithms.
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Review
For citations:
Voznenko T.I. METHODOLOGY OF TESTING MULTI-CHANNEL HUMAN-MACHINE INTERFACE. Vestnik natsional'nogo issledovatel'skogo yadernogo universiteta "MIFI". 2023;12(4):243-250. (In Russ.) https://doi.org/10.26583/vestnik.2023.266
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