Information, Volume 12, Issue 1 (January 2021) – 46 articles
Cover Story (view full-size image): Assistance systems can support a variety of tasks by providing information or instructions but have an implicit and often not directly understood impact on users. System designs that force static roles onto users can have negative side effects when system errors occur or previously unknown situations need to be tackled. We propose an adjustable augmented reality-based assistance system that adapts to the user’s individual task proficiency and dynamically reduces its active intervention in a not consciously noticeable way to spare attentional resources and facilitate independent task execution. We also introduce multi-modal mechanisms to provide context-sensitive assistance and argue why striving for system explainability of concealed automated processes can improve user trust and acceptance. View this paper.
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