This paper explores how the personality traits of robot operators can impact their task performance during remote control of robots. The influence of personal dispositions on information processing, either directly or indirectly, needs to be examined when working with robots on specific tasks. To investigate this relationship, we utilize the open-access multi-modal dataset MOCAS to examine the operator's personality, affect, cognitive load, and task performance. Our objective is to confirm if personal traits have a total effect, including both direct and indirect effects, that could significantly impact operator performance level. We specifically examine the relationship between personality traits such as extroversion, conscientiousness, and agreeableness, and task performance. We analyze the correlation between cognitive load, self-ratings of workload and affect, and the quantified individual personality traits and their experimental scores. As a result, we confirm that personality traits have no total effect on task performance.

翻译：本文探究机器人操作员的人格特质如何影响其在远程控制机器人时的任务表现。在特定任务中与机器人协作时，需考察个人性格倾向对信息处理的直接或间接影响机制。为研究这一关联，我们利用开放获取的多模态数据集MOCAS，分析操作员的人格特质、情绪状态、认知负荷及任务表现。研究目的旨在验证个人特质是否通过直接与间接效应的总和，显著影响操作员的表现水平。我们重点考察外倾性、尽责性与随和性等人格维度与任务表现之间的关联，并分析认知负荷、工作负荷自评、情绪状态与量化个体人格特质及其实验评分之间的相关性。研究结果表明，人格特质对任务表现不存在显著的总效应。