Influence of Personality Traits on Helping Behaviour in Human-Robot Interaction

Martin Westhoven, Patricia Tegtmeier
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Abstract

Trait models of personality can be used to predict prosocial behaviour. In the research field of human-robot interaction, there are many hints that interaction patterns learned from interacting with other humans also guide human behaviour regarding robots. This leads to the question, whether behaviour towards robots can be predicted by trait models of personality as well. To answer this question for the case of helping behaviour towards robots, an experiment was designed in which 50 participants answered questionnaires on personality (HEXACO-PI-R-100) and on negative attitudes towards robots (NARS), and were observed while being repeatedly asked for help by a robot. The personality dimensions of Conscientiousness and Openness influenced the observed behaviour significantly. These results show that personality also affects human-robot interaction. Nonetheless, this present work is only a first step towards a more thorough understanding of the influencing factors of successful human-robot interaction.
人-机器人互动中人格特质对帮助行为的影响
人格特质模型可以用来预测亲社会行为。在人机交互的研究领域中,有很多迹象表明,从与他人的交互中学习到的交互模式也会指导人类对机器人的行为。这就引出了一个问题,对机器人的行为是否也可以通过人格特征模型来预测。为了回答这个关于帮助机器人行为的问题,我们设计了一个实验,让50名参与者回答性格问卷(HEXACO-PI-R-100)和对机器人的负面态度问卷(NARS),并在机器人反复请求帮助时进行观察。尽责性和开放性人格维度显著影响观察行为。这些结果表明,性格也会影响人机交互。尽管如此,目前的工作只是迈向更彻底地了解成功的人机交互影响因素的第一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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