Research on Alarm Interface of Virtual Monitoring System for Ventilation Control in Flotation Workshop Based on Cognitive Load Theory
Source abstract
Abstract
Flotation workshop ventilation control virtual monitoring system alarm interfaces need to adapt to high-dynamic and high-interference industrial environments, while traditional interfaces have information overload and chaotic layout, leading to excessive cognitive load of operators and low alarm response efficiency, which makes it urgent to optimize the interface design. This study constructed a scenario characteristics-cognitive requirements-interface design coupling model, and conducted a 3 (alarm position) × 2 (display form) × 2 (target quantity) within-subjects experiment combined with eye-tracking technology and the NASA-TLX scale. The combination of “display beside 3D model + background color filling” performed optimally, with the single-target task achieving a 2.067 s reaction time and 99.5% accuracy, and the multi-target task 2.460 s and 94.6% accuracy, significantly reducing extraneous cognitive load. This study proposed optimization strategies including display optimization and lightweight presentation, enriching the application of Cognitive Load Theory in high-risk industrial interfaces and providing scientific references for similar system design.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Human-Automation Interaction and Safety · Evacuation and Crowd Dynamics · Teleoperation and Haptic Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Architecture & Design, China University of Mining and Technology, Xuzhou 221116, China
Funding
the National Key R&D Program of China
References (51)
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