Jahn Georg, Krems Josef F, Gelau Christhard
Chemnitz University of Technology, Chemnitz, Germany.
Hum Factors. 2009 Apr;51(2):136-51. doi: 10.1177/0018720809336542.
This study tested whether the ease of learning to use human-machine interfaces of in-vehicle information systems (IVIS) can be assessed at standstill.
Assessing the attentional demand of IVIS should include an evaluation of ease of learning, because the use of IVIS at low skill levels may create safety-relevant distractions.
Skill acquisition in operating IVIS was quantified by fitting the power law of practice to training data sets collected in a driving study and at standstill. Participants practiced manual destination entry with two route guidance systems differing in cognitive demand. In Experiment 1, a sample of middle-aged participants was trained while steering routes of varying driving demands. In Experiment 2, another sample of middle-aged participants was trained at standstill.
In Experiment 1, display glance times were less affected by driving demands than by total task times and decreased at slightly higher speed-up rates (0.02 higher on average) than task times collected at standstill in Experiment 2. The system interface that minimized cognitive demand was operated more quickly and was easier to learn. Its system delays increased static task times, which still predicted 58% of variance in display glance times compared with even 76% for the second system.
The ease of learning to use an IVIS interface and the decrease in attentional demand with training can be assessed at standstill.
Fitting the power law of practice to static task times yields parameters that predict display glance times while driving, which makes it possible to compare interfaces with regard to ease of learning.
本研究测试了是否可以在车辆静止状态下评估学习使用车载信息系统(IVIS)人机界面的难易程度。
评估IVIS的注意力需求应包括对学习难易程度的评估,因为低技能水平下使用IVIS可能会产生与安全相关的注意力分散。
通过将练习幂律应用于在驾驶研究和静止状态下收集的训练数据集,对操作IVIS的技能习得进行量化。参与者使用两种认知需求不同的路线引导系统练习手动输入目的地。在实验1中,对一组中年参与者进行训练,同时引导他们驾驶不同驾驶需求的路线。在实验2中,对另一组中年参与者在静止状态下进行训练。
在实验1中,显示扫视时间受驾驶需求的影响小于受总任务时间的影响,并且与实验2中在静止状态下收集的任务时间相比,以略高的加速率(平均高0.02)下降。认知需求最小化的系统界面操作更快且更容易学习。其系统延迟增加了静态任务时间,静态任务时间仍能预测显示扫视时间方差的58%,而第二个系统为76%。
可以在静止状态下评估学习使用IVIS界面的难易程度以及训练后注意力需求的降低情况。
将练习幂律应用于静态任务时间可得出预测驾驶时显示扫视时间的参数,这使得能够在学习难易程度方面比较界面。