Attaining situational awareness for sliding autonomy
Attaining situational awareness for sliding autonomy
复制标题
获得滑动自主的态势感知
DOI：
10.1145/1121241.1121257
复制
发表时间：
2006
期刊：
影响因子：
--
通讯作者：
Sanjiv Singh
中科院分区：
文献类型：
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作者：
Brennan Sellner;Laura M. Hiatt;R. Simmons;Sanjiv Singh
我们感兴趣的问题，人类操作员负责快速，准确地响应请求的帮助，从一个自主的机器人施工团队。这个问题的一个困难的方面是足够快地获得对请求机器人的情况的意识，以避免减慢整个团队的速度。加速态势感知初始获取的一种方法是维护数据缓冲区，并在需要帮助时为人类回放。我们在这里报告的实验，以确定如何组成和长度的缓冲区影响人类的速度和准确性，在我们的多机器人建设域。实验表明，对于我们的场景，5 - 10秒的一个原始视频源导致最快的操作员实现的态势感知，而准确性最大化通过观看10秒的三个视频源。这些结果必然是我们的设想所特有的，但我们认为，它们表明了在其他情况下可能有用的一般趋势。我们讨论了缓冲区的组成和长度对操作速度和准确性的相互影响，并从这个实验中得出几个结论，可以推广到其他情况。
We are interested in the problems of a human operator who is responsible for rapidly and accurately responding to requests for help from an autonomous robotic construction team. A difficult aspect of this problem is gaining an awareness of the requesting robot's situation quickly enough to avoid slowing the whole team down. One approach to speeding the initial acquisition of situational awareness is to maintain a buffer of data, and play it back for the human when their help is needed. We report here on an experiment to determine how the composition and length of this buffer affect the human's speed and accuracy in our multi-robot construction domain. The experiments show that, for our scenario, 5 - 10 seconds of one raw video feed led to the fastest operator attainment of situational awareness, while accuracy was maximized by viewing 10 seconds of three video feeds. These results are necessarily specific to our scenario, but we feel that they indicate general trends which may be of use in other situations. We discuss the interacting effects of buffer composition and length on operator speed and accuracy, and draw several conclusions from this experiment which may generalize to other scenarios.