Dataset on Cognitive Load and Task Performance During Human-Robot Interaction at Varying Support Levels

This dataset accompanies the study "How Human-Robot Interaction Can Influence Task Performance and Perceived Cognitive Load at Different Support Conditions." The research investigates the impact of socially assistive robots (SARs) on task performance and cognitive load management under varying levels of cognitive demand. Using the NAO robot, participants engaged in a structured cognitive task designed to simulate real-life challenges, with conditions ranging from unsupported baseline tasks to robot-assisted tasks at low, medium, and high cognitive load levels. Contents: Participant Data: Demographic details (age, gender) and health status of 42 adult participants. Task Performance Metrics: Number of errors, task completion time, and condition-specific performance data. Perceived Cognitive Load (PCL): Scores from the NASA-TLX questionnaire for each condition. Experimental Conditions: Data for baseline (no robot) and robot-assisted tasks (low, medium, and high cognitive load). Statistical Analysis Outputs: Results of linear mixed models evaluating the effect of task condition on performance and cognitive load.本数据集配套于研究《人机交互如何在不同支持条件下影响任务绩效与感知认知负荷》。本研究探究了社会辅助机器人（Socially Assistive Robots, SARs）在不同认知需求水平下，对任务绩效与认知负荷管理的影响。研究使用NAO机器人，让42名成年参与者完成一项旨在模拟现实生活挑战的结构化认知任务，实验条件涵盖无辅助的基线任务，以及低、中、高认知负荷水平下的机器人辅助任务。 数据集内容如下： 1. 参与者数据：42名成年参与者的人口统计学细节（年龄、性别）与健康状况。 2. 任务绩效指标：错误次数、任务完成时长，以及各实验条件下的专属绩效数据。 3. 感知认知负荷（Perceived Cognitive Load, PCL）：各实验条件下NASA-TLX量表的得分。 4. 实验条件数据：基线（无机器人辅助）与机器人辅助任务（低、中、高认知负荷）的相关数据。 5. 统计分析结果：用于评估任务条件对绩效与认知负荷影响的线性混合模型分析结果。