This paper explores how the personality traits of robot operators can influence their task performance during remote control of robots. It is essential to explore the impact of personal dispositions on information processing, both directly and indirectly, when working with robots on specific tasks. To investigate this relationship, we utilize the open-access multi-modal dataset MOCAS to examine the robot operator's personality traits, affect, cognitive load, and task performance. Our objective is to confirm if personality traits have a total effect, including both direct and indirect effects, that could significantly impact the performance levels of operators. Specifically, we examine the relationship between personality traits such as extroversion, conscientiousness, and agreeableness, and task performance. We conduct a correlation analysis between cognitive load, self-ratings of workload and affect, and quantified individual personality traits along with their experimental scores. The findings show that personality traits do not have a total effect on task performance.

翻译：本文探究机器人操作者的人格特质如何影响其在远程控制机器人过程中的任务绩效。为明确特定任务中人机协作时个人特质对信息处理的直接与间接影响，本研究利用开放获取的多模态数据集MOCAS，系统分析操作者的人格特质、情感状态、认知负荷及任务绩效。研究旨在验证人格特质是否通过直接与间接的总效应显著影响操作者绩效水平。具体而言，我们考察了外向性、尽责性与宜人性等人格特质与任务绩效的关联性，并对认知负荷、主观工作负荷评估、情感自评与量化个体人格特质及其实验得分进行相关性分析。结果表明，人格特质对任务绩效不存在显著的总效应。