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Robotic Companionship: How Forgetfulness Affects Long-Term Human-Robot Interaction

机译:机器人陪伴:健忘如何影响长期人体机器人互动

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The research presented in this paper is part of an ongoing research project which looks at the role cognitive bias plays in developing long-term companionship between a cognitively imperfect robot and humans. In this paper we discuss, how a 'human-like' trait such as forgetfulness can play a role in robot-human interaction to develop long-term companionship. One of the robots used in this study called ERWIN was given a level of forgetfulness as a reference of Misattribution for its cognitive bias. It is hoped that humanlike fallible characteristics (e.g. making mistakes, wrong selection, forgetfulness and other imperfect behaviours) can help in developing a more natural and believable attachment bond between Robots and Humans. By developing forgetfulness in a robot, it is expected that the user can relate to the robot more easily which in turn can help them to develop a stronger long-term companionship towards the robot. In previous experiments the robot ERWIN forgot and misattributed some of the participant's information which was noted previously. The experimental results show that the participants initially warmed to the robot with the forgetfulness trait. To continue experimenting with misattribution and other cognitive biases, current experiments with a humanoid robot MARC and a group of participants is being carried out.
机译:本文提出的研究是正在进行的研究项目的一部分,这些研究项目看起来在认知不完美机器人和人类之间发展长期陪伴的角色偏见。在本文中,我们讨论了,如何在机器人互动中发挥作用以发展长期陪伴的人。这项研究中使用的机器人之一被称为Erwin的遗忘程度是对其认知偏见的误判的参考。希望人类难以易受的特征(例如,犯错误,错误的选择,忘记和其他不完美行为)可以帮助在机器人和人类之间发展更加自然和可信的依恋债券。通过在机器人中开发遗忘,预计用户可以更容易地与机器人相关联,这反过来可以帮助他们向机器人发展更强大的长期陪伴。在以前的实验中,机器人Erwin忘了并误解了一些参与者以前所指出的信息。实验结果表明,参与者最初将机器人加热到具有遗忘性状的机器人。为了继续尝试误诊和其他认知偏见,正在进行当前的人形机器人MARC和一组参与者的实验。

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