Informational Analysis on Impression of Human Robot Interaction
Informational Analysis on Impression of Human Robot Interaction
复制标题
人机交互印象信息分析
DOI：
10.7210/jrsj.19.667
复制
发表时间：
2001
期刊：
影响因子：
--
通讯作者：
Tomomasa Sato
中科院分区：
文献类型：
--
作者：
T. Nakata;Taesung Ko;Taketoshi Mori;Tomomasa Sato
在人类机器人行为交互中，机器人的反应决策算法的特点产生了人类用户对机器人的印象。本文的目的是在一个人-机器人-交互实验中，分析机器人的交互特性与机器人产生的印象之间的关系。运用信息论的方法进行了定量的分析。将机器人的交互特性量化为Shannon信息论中的信息传递效率，对于某一输入(1对1反应)选择固定的某一反应，具有很高的信息传递效率。相比之下，交互的信息传递效率很低，这意味着机器人的反应几乎是随机的。在实验中，编写了机器人的3种反应算法，它们的信息传输效率分别为1.0、0.5和0.0。结果表明，机器人的传输效率高，给人的印象是机器人的意图很强。研究还表明，当转移效率适中(0.5)时，相互作用的兴趣度最大。这些结果将被用于机器人的交互算法，该算法调整机器人的行为特征，以产生对人类的正确印象。
In human robot behavioral interaction, characteristic of the robot's reaction-decision algorithm produces impres-sions that the human user has about the robot. The purpose of this paper is to analyze the relationship between robot's interactive characteristic and produced impression about the robot in a human-robot-interaction experiment. The analysis was done quantitatively by using methods of information theory. The robot's interactive characteristic is quantified as information transfer efficiency of Shannon information theory; the algorithm that selects a fixed certain reaction in respect to certain input (1-to-1 reaction) has very high informational transfer efficiency. In con-trast, very low informational transfer efficiency of the interaction means the robot makes reaction almost randomly. In the experiment, 3 reaction algorithms of the robot were prepared; the informational transfer efficiencies of them are 1.0, 0.5, and 0.0. The result shows that high transfer efficiency produces impressions that the robot has strong intention. Also it is shown that maximum of degree of interest on interaction was got at moderate transfer efficiency (0.5) . Those results will be utilized in interaction algorithm of robots that adjusts robots' behavioral characteristic in order to produce proper impression toward humans.