Adaptive Decision Behavior of Autonomous Systems in Human Shared Operational Environments
DOI:
https://doi.org/10.55927/fjst.v5i10.1Keywords:
Autonomous Systems, Adaptive Decisions, Trust, Multimodal Perception, Inference Of Human Intentions, Electrical Engineering.Abstract
The integration of autonomous systems in the operational environment shared with humans in the field of electrical engineering poses challenges in adaptive decision-making and human-system interaction. This study aims to analyze the influence of multimodal perception and human intention inference on adaptive decisions with trust as a mediating variable. The method used was a quantitative approach through a survey of 180 respondents, with data analysis using PLS-SEM. The results showed that all variables had a significant effect on adaptive decisions, with trust as the most dominant factor, and played a role as a partial mediator. It is concluded that adaptive decisions are influenced not only by technical aspects, but also by user trust, so a human-centered approach is important in the development of autonomous systems
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