Implications of Personality on Cognitive Workload, Affect, and Task Performance in Remote Robot Control

TL;DR

This study investigates how personality traits of remote robot operators influence their cognitive workload, affect, and task performance, finding no significant total effect of personality on performance.

Contribution

It analyzes the relationship between personality traits and task performance using a multi-modal dataset, highlighting the indirect effects and their implications.

Findings

Personality traits do not have a total effect on task performance.

Correlation analysis links personality, workload, and affect.

The study emphasizes the complexity of personality's role in remote robot control.

Abstract

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.