• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>2015 3rd International Conference on Applied Computing and Information Technology/2nd International Conference on Computational Science and Intelligence >Evaluating Optimal Arousal Level during the Task Based on Performance and Positive Mood: Extracting Indices Reflecting the Relationship among Arousal, Performance, and Mood
【24h】

Evaluating Optimal Arousal Level during the Task Based on Performance and Positive Mood: Extracting Indices Reflecting the Relationship among Arousal, Performance, and Mood

机译：根据绩效和积极情绪评估任务中的最佳唤醒水平：提取反映唤醒，绩效和情绪之间关系的指标

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The purpose of this study is to reveal indices which reflect the relationship among optimal arousal level, performance and positive mood during a working task. The arousal level based on both of performance and positive mood is evaluated. As a working task, working memory tasks of two difficulties are performed. Performance and psychophysiological states before, during and after the task are measured using task scores, biological signals, and subjective scores. The data of each index is analyzed using multiple linear regression analysis. It is shown that indices such as skin conductance, RR interval of electrocardiogram, and alpha power in the occipital area reflect arousal level which has relationships with performance or positive mood. On the other hand, more appropriate arousal level for positive mood is different between tension and physiological alertness. Thus, it is revealed that optimal arousal level influenced by tension and physiological alertness cannot be evaluated by one index. However, the prediction accuracy of each linear regression model is low. Therefore, it is led that further investigation using task difficulties in a wide range is needed.
机译：本研究的目的是揭示反映工作任务中最佳唤醒水平，表现和积极情绪之间关系的指标。评估基于表现和积极情绪的唤醒水平。作为工作任务，执行两个困难的工作记忆任务。使用任务评分，生物学信号和主观评分来衡量任务之前，之中和之后的表现和心理生理状态。使用多元线性回归分析来分析每个指标的数据。结果表明，诸如皮肤电导率，心电图的RR间隔和枕骨区域的α功率等指标反映了唤醒水平，而唤醒水平与表现或积极情绪有关。另一方面，对紧张情绪和生理机敏性而言，更适合积极情绪的唤醒水平有所不同。因此，揭示了不能通过一个指标来评估受张力和生理机敏性影响的最佳唤醒水平。但是，每个线性回归模型的预测准确性都较低。因此，导致需要使用广泛的任务困难进行进一步的调查。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号