ASSESSMENT OF THE VISUAL INTERFACE IMPACT ON THE EFFICIENCY OF DYNAMIC OBJECTS REMOTE CONTROL
DOI:
https://doi.org/10.28925/2663-4023.2026.32.1148Keywords:
людино-машинний інтерфейс, інтегральний показник якості, ієрархічна модель, багатокритеріальний аналіз, формалізація характеристик, ергономічне оцінювання, експертне оцінюванняAbstract
The paper is devoted to the development of an integral model for assessing the quality of human–machine interfaces operating in highly dynamic environments with increased requirements for operator reliability. The relevance of the study is determined by the need to bridge the gap between qualitative ergonomic characteristics of an interface and their quantitative representation within a unified metric framework.
The proposed approach is based on a multi-level hierarchical structure of criteria in which conceptual interface properties are transformed into operational parameters and subsequently into discrete expert evaluations. The aggregation of partial indicators is performed through weighted mathematical processing, resulting in a single numerical integral index that reflects the overall quality of the interface.
A distinctive feature of the model is the simultaneous application of direct and inverse normalization procedures at the sub-criterion level. Inverse normalization is applied to unstimulating parameters (such as interface complexity, cognitive workload, number of manipulations, need for instructor assistance, etc.), ensuring a unified direction of influence for all model components. This methodological solution guarantees logical consistency of the integral index and reduces systematic distortions associated with heterogeneous parameter semantics.
The system for determining interface quality levels at the lower level of the criteria hierarchy was formed based on expert evaluation results. This approach provides the prerequisites for standardizing the assessment procedure and minimizing subjective bias. The established threshold ranges of the integral index enable unambiguous interpretation of results and support automated classification of interface quality.
The model is intended for application in the design, auditing, modernization, and certification of human–machine interfaces for complex technical systems, particularly those operating in high-responsibility and high-dynamics domains. It can also be integrated into decision-support software systems to facilitate structured evaluation processes. Future research is aimed at adapting the model to specific industry domains and empirically validating the correlation between the integral interface quality index and real indicators of operator performance efficiency.
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