高认知负荷下人类对机器人信任反而上升，且与任务失败风险相关。
Impact of Cognitive Load on Human Trust in Hybrid Human-Robot Collaboration
- 通过复杂度不同的积木搭建任务，研究认知负荷对信任的影响。
- 高负荷下信任度提升，且绩效奖励显著高于低负荷场景。
- 发现低中度负荷时信任与任务失败风险显著相关，适合人机协作设计参考。
人类信任在人机协同中至关重要，但其发展和维持受多重影响因素及其机制的复杂性阻碍。本研究探讨认知负荷对混合人机协作任务中人类对机器人信任的影响。实验设置人类与机器人作为团队成员，共同完成不同复杂度的积木塔搭建任务。结果表明，认知负荷对信任具有差异化影响：在高负荷条件下，人类对机器人的信任显著提升。此外，高负荷任务的绩效奖励远高于低负荷任务；在低至中等负荷任务中，人类信任与绩效失败风险存在显著相关性。通过引入相互依赖的任务步骤，本研究揭示了混合人机协作的独特动态。研究成果不仅深化了对认知负荷如何影响信任的理解，也为开发者优化协作目标选择及设计更有效的人机交互界面提供了支持。
原文摘要 · Abstract (English)
Human trust plays a crucial role in the effectiveness of human-robot collaboration. Despite its significance, the development and maintenance of an optimal trust level are obstructed by the complex nature of influencing factors and their mechanisms. This study investigates the effects of cognitive load on human trust within the context of a hybrid human-robot collaboration task. An experiment is conducted where the humans and the robot, acting as team members, collaboratively construct pyramids with differentiated levels of task complexity. Our findings reveal that cognitive load exerts diverse impacts on human trust in the robot. Notably, there is an increase in human trust under conditions of high cognitive load. Furthermore, the rewards for performance are substantially higher in tasks with high cognitive load compared to those with low cognitive load, and a significant correlation exists between human trust and the failure risk of performance in tasks with low and medium cognitive load. By integrating interdependent task steps, this research emphasizes the unique dynamics of hybrid human-robot collaboration scenarios. The insights gained not only contribute to understanding how cognitive load influences trust but also assist developers in optimizing collaborative target selection and designing more effective human-robot interfaces in such environments.
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