Hancock P A
Human Factors Research Laboratory, University of Minnesota, Minneapolis, USA.
Ergonomics. 1996 Sep;39(9):1146-62. doi: 10.1080/00140139608964535.
Virtual interfaces to advanced human-machine systems will present operators with a variety of perceptual-motor challenges. To inform the virtual interface design processes, the present experiments examined the effects of track order, level of knowledge of performance, type of control device, and the extent of practice on tracking performance and associated mental workload. Tracking was assessed by root mean square error. Subjective workload was measured using both the NASA Task Load Index (TLX) and the Subjective Workload Assessment Technique (SWAT). Results indicated non-linear effects, where tracking error and subjective workload both increased non-proportionally with track order. Trackball use resulted in more accurate performance and was judged to be of lower subjective workload than input using a mouse. Augmented knowledge of performance had little effect on either performance or workload. There was a number of interactions affecting performance that were replicated in perceived workload. Over acquisition trials, second-order tracking exhibited continuous improvement. This capability was retained even after a 30-day rest interval. Decrease a workload followed performance improvement in both initial acquisition and subsequent retention phases. The two subjective workload scales were essentially equivalent in terms of their sensitivity to task manipulations. These results support the direct association between workload and performance and confirms the use of workload in helping to evaluate the influence of diverse task-related demands. The implications for the design of virtual interfaces to real-world systems are examined in the light of these findings.
先进人机系统的虚拟界面将给操作员带来各种感知运动挑战。为了为虚拟界面设计过程提供参考,本实验研究了轨迹顺序、绩效知识水平、控制设备类型以及练习程度对跟踪性能和相关心理负荷的影响。跟踪性能通过均方根误差进行评估。主观负荷使用美国国家航空航天局任务负荷指数(TLX)和主观工作负荷评估技术(SWAT)进行测量。结果表明存在非线性效应,即跟踪误差和主观负荷均随轨迹顺序不成比例地增加。使用轨迹球的跟踪性能更准确,且与使用鼠标输入相比,主观负荷更低。增强的绩效知识对性能或负荷影响不大。有许多影响性能的交互作用在感知负荷中也得到了体现。在多次采集试验中,二阶跟踪表现出持续改进。即使经过30天的休息间隔,这种能力仍然保留。在初始采集和后续保持阶段,负荷随性能的提高而降低。两种主观负荷量表对任务操作的敏感性基本相当。这些结果支持了负荷与性能之间的直接关联,并证实了使用负荷来帮助评估各种与任务相关需求的影响。根据这些发现,探讨了对现实世界系统虚拟界面设计的启示。