(1) Background: Cognitive aspects and complexity in modern manual mixed model assembly are increasing. To reduce mental workload (MWL), informational assistance systems are introduced. The influence of complexity and used assistance system on MWL should be investigated to further improve the implementation of such assistance systems. (2) Methods: Using a simulated close to real-life assembly task a 2 × 3 design was chosen, with two levels of assembly complexity (within subjects) and three different assistance systems (paper, Augmented Reality (AR)-glasses, tablet–between subjects). MWL was measured using either physiological response (electrocardiogram (ECG) and eye-tracking) or performance indicators. (3) Results: An influence of task complexity on MWL can be shown. Additionally, usability based differences between the used assistance systems become more evident with reference to the results of area of interest analysis. (4) Conclusions: Using a multi-modal measurement approach, it is possible to detect complexity-based differences in MWL. Additional research on validity and alignment is needed to further use these for (neuro-) ergonomic considerations and recommendations.

中文翻译：

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任务复杂性的增加和信息辅助系统的使用对脑力负荷的影响


(1) 背景：现代手动混合模型装配的认知方面和复杂性正在增加。为了减少脑力负担（MWL），引入了信息辅助系统。应研究复杂性和使用的辅助系统对 MWL 的影响，以进一步改进此类辅助系统的实施。 (2) 方法：使用模拟接近现实生活的组装任务，选择 2 × 3 设计，具有两个级别的组装复杂性（受试者内）和三种不同的辅助系统（纸张、增强现实 (AR) 眼镜、平板电脑） – 科目之间）。 MWL 使用生理反应（心电图 (ECG) 和眼动追踪）或表现指标来测量。 (3)结果：可以显示任务复杂性对MWL的影响。此外，参考感兴趣区域分析的结果，所使用的辅助系统之间基于可用性的差异变得更加明显。 (4) 结论：使用多模态测量方法，可以检测 MWL 中基于复杂性的差异。需要对有效性和一致性进行更多研究，以进一步将它们用于（神经）人体工程学考虑和建议。