The Industrial and Systems Engineering Department, Texas A&M University, College Station, Tx, USA.
The Industrial and Systems Engineering Department, Texas A&M University, College Station, Tx, USA; The Mechanical Engineering Department, Texas A&M University, College Station, Tx, USA.
Appl Ergon. 2023 Jan;106:103863. doi: 10.1016/j.apergo.2022.103863. Epub 2022 Aug 30.
Measuring trust is an important element of effective human-robot collaborations (HRCs). It has largely relied on subjective responses and thus cannot be readily used for adapting robots in shared operations, particularly in shared-space manufacturing applications. Additionally, whether trust in such HRCs differ under altered operator cognitive states or with sex remains unknown. This study examined the impacts of operator cognitive fatigue, robot reliability, and operator sex on trust symptoms in collaborative robots through both objective measures (i.e., performance, heart rate variability) and subjective measures (i.e., surveys). Male and female participants were recruited to perform a metal surface polishing task in partnership with a collaborative robot (UR10), in which they underwent reliability conditions (reliable, unreliable) and cognitive fatigue conditions (fatigued, not fatigued). As compared to the reliable conditions, unreliable robot manipulations resulted in perceived trust, an increase in both sympathetic and parasympathetic activity, and operator-induced reduction in task efficiency and accuracy but not precision. Cognitive fatigue was shown to correlate with higher fatigue scores and reduced task efficiency, more severely impacting females. The results highlight key interplays between operator states of fatigue, sex, and robot reliability on both subjective and objective responses of trust. These findings provide a strong foundation for future investigations on better understanding the relationship between human factors and trust in HRC as well as aid in developing more diagnostic and deployable measures of trust.
衡量信任是有效人机协作(HRC)的重要因素。它在很大程度上依赖于主观反应,因此不能直接用于适应共享操作中的机器人,特别是在共享空间制造应用中。此外,在改变的操作人员认知状态或性别的情况下,对这种 HRC 的信任是否不同仍然未知。本研究通过客观测量(即性能、心率变异性)和主观测量(即调查),研究了操作人员认知疲劳、机器人可靠性和操作人员性别对协作机器人中信任症状的影响。招募男性和女性参与者与协作机器人(UR10)合作完成金属表面抛光任务,在该任务中,他们经历了可靠性条件(可靠、不可靠)和认知疲劳条件(疲劳、不疲劳)。与可靠条件相比,不可靠的机器人操作会导致感知信任、交感和副交感活动增加,以及操作人员降低任务效率和准确性但不降低精度。认知疲劳与更高的疲劳评分和降低的任务效率相关,对女性的影响更大。研究结果强调了疲劳、性别和机器人可靠性等操作人员状态对信任的主观和客观反应之间的关键相互作用。这些发现为进一步研究人类因素与 HRC 中的信任之间的关系提供了坚实的基础,并有助于开发更具诊断性和可部署性的信任测量方法。