Human Factors Research Group, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, UK.
Appl Ergon. 2013 Sep;44(5):730-8. doi: 10.1016/j.apergo.2012.04.012. Epub 2012 Jun 13.
Recent advances in computer vision technology have lead to the development of various automatic surveillance systems, however their effectiveness is adversely affected by many factors and they are not completely reliable. This study investigated the potential of a semi-automated surveillance system to reduce CCTV operator workload in both detection and tracking activities. A further focus of interest was the degree of user reliance on the automated system. A simulated prototype was developed which mimicked an automated system that provided different levels of system confidence information. Dependent variable measures were taken for secondary task performance, reliance and subjective workload. When the automatic component of a semi-automatic CCTV surveillance system provided reliable system confidence information to operators, workload significantly decreased and spare mental capacity significantly increased. Providing feedback about system confidence and accuracy appears to be one important way of making the status of the automated component of the surveillance system more 'visible' to users and hence more effective to use.
计算机视觉技术的最新进展导致了各种自动监控系统的发展，然而，它们的有效性受到许多因素的影响，并不是完全可靠的。本研究调查了半自动监控系统在检测和跟踪活动中减少闭路电视操作人员工作量的潜力。另一个关注的焦点是用户对自动化系统的依赖程度。开发了一个模拟原型，模拟了一个提供不同系统置信度信息的自动化系统。对次要任务性能、依赖程度和主观工作量进行了因变量测量。当半自动闭路电视监控系统的自动组件向操作人员提供可靠的系统置信度信息时，工作负荷显著降低，备用心理能力显著增加。提供有关系统置信度和准确性的反馈似乎是一种重要的方法，可以使用户更“清楚”地了解监控系统的自动化组件的状态，从而更有效地使用它。
