首页> 外文期刊>International journal of artificial life research >Can Cognitive Biases in Robots Make More 'Likeable' Human-Robot Interactions than the Robots Without Such Biases: Case Studies Using Five Biases on Humanoid Robot
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Can Cognitive Biases in Robots Make More 'Likeable' Human-Robot Interactions than the Robots Without Such Biases: Case Studies Using Five Biases on Humanoid Robot

机译:与没有这种偏向的机器人相比,机器人中的认知偏向能否产生更“喜欢”的人机交互:在类人机器人上使用五种偏向的案例研究

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摘要

The research presented in the paper aims to develop long-term companionship between cognitively imperfect robots and humans. In order to develop cognitively imperfect robot, the research suggests to implement various cognitive biases in a robot's interactive behaviours. In the authors' understanding, such cognitively biased behaviours in robot will help the participants to relate with it easily. In the current paper, they show comparative results of the experiments using five biased and one non-biased algorithms in a 3D printed humanoid robot MARC. The results from the experiments show that the participants initially liked the robot with biased and imperfect behaviours than the same robots without any mistakes and biases.
机译:本文提出的研究旨在发展认知不完善的机器人与人类之间的长期友谊。为了开发认知上不完美的机器人,研究建议在机器人的交互行为中实现各种认知偏差。根据作者的理解,机器人中的这种认知偏差行为将帮助参与者轻松地与机器人建立联系。在当前的论文中,他们显示了在3D打印人形机器人MARC中使用五种有偏和一种无偏算法的实验比较结果。实验结果表明,与没有任何错误和偏见的相同机器人相比,参与者最初喜欢具有偏见和不完美行为的机器人。

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