Facilitating Workers’ Task Proficiency with Subtle Decay of Contextual AR-Based Assistance Derived from Unconscious Memory Structures

Contemporary assistance systems support a broad variety of tasks. When they provide information or instruction, the way do it has an implicit and often not directly graspable impact on user. System design forces static roles onto user, which can have negative side effects when system errors occur unique previously unknown situations need to be tackled. We propose adjustable augmented reality-based infrastructure that adapts user’s individual cognitive task proficiency dynamically reduces its active intervention in subtle, consciously noticeable over time spare attentional resources facilitate independent execution. also introduce multi-modal mechanisms context-sensitive argue why architectures explainability concealed automated processes improve user trust acceptance.