Autonomous driving paper index
An Investigation of the Relationship Between Subjective Mental Workload and Objective Indicators of User Activity
One-line summary
Whilst the concept of physical workload is intuitively understood and readily applicable in system design, the same cannot be said of mental workload (MWL), despite its importance in our increasingly technological society.
Engineering notes
Key topics: autonomous driving. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
Whilst the concept of physical workload is intuitively understood and readily applicable in system design, the same cannot be said of mental workload (MWL), despite its importance in our increasingly technological society. Despite its origin in the mid 20th century, the very concept of ”mental workload” is still a topic of debate in the literature, although it can be loosely defined as “the amount of mental work necessary for a person to complete a task” (Miller, 1956; Longo, 2014). Several methods have been utilized to measure of MWL, including physiological methods such as neuro-imagery, performance-based metrics, and subjective measures via questionnaires, such as the NASA-TLX method (NASA, 2022). In this work, the relationship between subjective measures of MWL and objective indicators of activity is examined. Herein, a series of web-based tasks have been developed with mouse-activity monitoring implemented in JavaScript in order to study this relationship. The experimental results indicate that user mouse activity does not correlate with subjective indicators of MWL.
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