<![CDATA[Digital work-system transformation intensifies human-technology interaction and creates a need to understand how cognitive ergonomics is applied, measured, and associated with human and system outcomes. This study maps cognitive ergonomics applications, mental-workload measurement approaches, and their relationships with performance, safety, usability, technology acceptance, and worker well-being. A systematic literature review was conducted on 52 full-text journal articles published from 2020 to 2026. Articles were selected through deduplication, multistage screening, DOI verification, quality appraisal, and extraction of 29 variables. The findings identify five application mechanisms: task and interface redesign, human-technology function allocation, cognitive-state monitoring, decision support and training, and integration into work systems. Measurement approaches include subjective ratings, performance measures, behavioral indicators, physiological and neurophysiological signals, task analysis, and multimodal assessment. Associations with outcomes are conditional because they vary according to task complexity, experience, age, duration, technology transparency, and environmental conditions. The review proposes a three-layer application-measurement-outcome framework in which workload functions as a linking mechanism and a source of feedback for redesign. The findings support multi-indicator evaluation, field validation, and designs that preserve cognitive fit, predictability, control, situation awareness, and recovery.]]>
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