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首页> 外文会议>Ergonomics Society Annual Conference; 200604; Robinson College Cambridge(GB) >APPLYING THE KEYSTROKE LEVEL MODEL IN A DRIVING CONTEXT
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APPLYING THE KEYSTROKE LEVEL MODEL IN A DRIVING CONTEXT

机译：在驾驶上下文中应用按键水平模型

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摘要

The Keystroke Level Model (KLM) was developed to predict the performance time of expert users on desktop computing tasks. In recent years, computing technology has been implemented in more diverse environments, including the safety critical driving situation. To evaluate the potential use of the KLM as a means of predicting task times for in-car interfaces, 12 fully trained participants carried out a series of tasks on two in-car entertainment (ICE) systems. Results showed high positive correlations between KLM predictions and observed task times (R = 0.97). Fitts' law was used to make more accurate predictions for the homing operator, in place of the values given in the original KLM method. Further work is necessary to investigate the KLM as a means of assessing the visual demand of in-car systems.
机译：开发了击键级别模型（KLM），以预测专家用户在桌面计算任务上的性能时间。近年来，计算技术已在更多样化的环境中实施，包括对安全至关重要的驾驶情况。为了评估将KLM用作预测车内界面任务时间的手段的潜在用途，经过培训的12名参与者在两个车内娱乐（ICE）系统上执行了一系列任务。结果表明，荷航的预测与观察到的任务时间之间存在高度正相关（R = 0.97）。菲茨定律被用来代替原KLM方法中给出的值，为归巢算子做出更准确的预测。有必要开展进一步工作来调查荷航，以评估车载系统的视觉需求。

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