Three Alternatives to Measure the Human-Likeness of a Handshake Model in a Turing-like Test
Three Alternatives to Measure the Human-Likeness of a Handshake Model in a Turing-like Test
复制标题
在类图灵测试中测量握手模型的人性化的三种替代方案
DOI：
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
A. Karniel
中科院分区：
文献类型：
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作者：
I. Nisky;Guy Avraham;A. Karniel
在图灵测试中，如果计算机模型能够产生与人类无法区分的答案，那么它就被认为是智能的。我们提出了一个类似图灵的握手测试来测试机器智能的运动方面。测试是通过一个远程机器人系统进行的，在这个系统中，一个机器人拿着一个机器人触笔，与另一个人、人工或两者的线性组合进行交互。在这里，我们分析和实验测试的性质的三个版本的图灵式握手测试：纯，加权，噪声。我们遵循信号检测理论的框架，并提出了一个简化的模型，用于模拟人的相似性评估，我们模拟这个模型，并提供了一个评估的统计功率的每个版本的握手测试。我们的模拟研究表明，最佳测试的选择取决于询问者与模型相比识别人类握手的程度。“纯"测试适用于中等和较大级别的混淆，"加权”和“噪波”测试适用于较低级别的混淆。然后，我们提出了一个实验研究的结果，我们比较三个简单的模型之间的人类握手。我们证明，这是可能的，以区分这些握手模型，并讨论每一个措施和未来可能的握手模型和图灵测试的相对优势，在测量和促进设计的机器人康复，遥操作，和远程呈现的类人机器人。
In the Turing test, a computer model is deemed to think intelligently if it can generate answers indistinguishable from those of a human. We proposed a Turing-like handshake test for testing motor aspects of machine intelligence. The test is administered through a telerobotic system in which an interrogator holds a robotic stylus and interacts with another party—human, artificial, or a linear combination of the two. Here, we analyze and test experimentally the properties of three versions of the Turing-like handshake test: Pure, Weighted, and Noise. We follow the framework of signal detection theory, and propose a simplified model for the interrogator human-likeness evaluation; we simulate this model and provide an assessment of the statistical power of each version of the handshake test. Our simulation study suggests that the choice of the best test depends on how well the interrogator identifies a human handshake when compared with a model. The Pure test is better for intermediate and large levels of interrogator confusion, and the Weighted and Noise tests are good for low levels of confusion. We then present the results of an experimental study in which we compare among three simple models for a human handshake. We demonstrate that it is possible to distinguish between these handshake models, and discuss the relative advantage of each measure and future possible handshake models and Turing-like tests, in measuring and promoting the design of human-like robots for robotics rehabilitation, teleoperation, and telepresence.
影响因子：
2.5
作者：
SRINIVASAN, MA;LAMOTTE, RH
通讯作者：
LAMOTTE, RH