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Comparing system-driven and free dialogue in in-vehicle interaction

机译:比较车载互动中系统驱动和自由对话

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It is widely held that a free, natural dialogue model is more efficient and less distracting than system-initiative, state based dialogue. This paper describes an evaluation of two systems - one using system-directed dialogue and one using a more "free" dialogue - focusing on distraction and efficiency. The level of distraction is measured using an automotive industry standard test (LCT), and the efficiency is measured by counting the number of completed tasks. The efficiency is increased by 42 % using the free, natural dialogue model while the LCT results are unclear. Using a free dialogue model increases the efficiency and reduces the distraction in some cases.
机译:人们普遍认为,一种自由,自然的对话模式比基于系统的,基于状态的对话更有效,更分散注意力。本文介绍了对两种系统的评估-一种使用系统控制的对话,另一种使用更“自由”的对话-着重于分散注意力和效率。分心的程度使用汽车行业标准测试(LCT)进行衡量,效率通过计算已完成任务的数量进行衡量。使用免费的自然对话模型时,效率提高了42%,而LCT的结果尚不清楚。在某些情况下,使用自由对话模型可以提高效率并减少干扰。

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