Comparison of Attitudes Towards Robots of Different Population Samples in Norway

IF 4.2 Q2 ROBOTICS

ACM Transactions on Human-Robot Interaction Pub Date : 2023-03-13 DOI:10.1145/3568294.3580151

Marten Bloch, Alexandra Fernandes

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Abstract

Acceptance of robots is known to be directly influenced by perceptions and attitudes potential users have of them. Particularly, negative attitudes can prevent that the implementations of robots unlock their full potential and ultimately fail if negative attitudes are not addressed. We employed the popular Negative Attitude Towards Robots Scale (NARS) across four different studies to assess how different populations in Norway perceive robots. All four included exposure to at least a robot. However, the setup of each individual study was different from the others. We summarized the results across study and made comparisons between the different samples. We also analyzed the effect of gender and age on attitude towards robots as measured by the NARS. The results indicate that there are significant differences between samples and that females score significantly higher than males, thus having a less favorable opinion of robots and potentially avoiding interaction with them. We touch upon possible explanations and implications of our results and highlight the need for more research into this topic.

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挪威不同人口样本对机器人的态度比较

众所周知，机器人的接受程度直接受到潜在用户对机器人的看法和态度的影响。特别是，消极的态度可能会阻止机器人发挥其全部潜力，如果不解决消极态度，最终会失败。我们在四项不同的研究中采用了流行的对机器人的消极态度量表(NARS)来评估挪威不同人群对机器人的看法。所有四种实验都至少接触了一个机器人。然而，每项研究的设置都是不同的。我们总结了整个研究的结果，并对不同样本进行了比较。我们还分析了性别和年龄对NARS测量的机器人态度的影响。结果表明，样本之间存在显著差异，女性得分明显高于男性，因此对机器人的看法不太好，并可能避免与机器人互动。我们谈到了可能的解释和我们的结果的含义，并强调需要对这个主题进行更多的研究。

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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来源期刊

ACM Transactions on Human-Robot Interaction Computer Science-Artificial Intelligence

CiteScore

7.70

自引率

5.90%

发文量

期刊介绍： ACM Transactions on Human-Robot Interaction (THRI) is a prestigious Gold Open Access journal that aspires to lead the field of human-robot interaction as a top-tier, peer-reviewed, interdisciplinary publication. The journal prioritizes articles that significantly contribute to the current state of the art, enhance overall knowledge, have a broad appeal, and are accessible to a diverse audience. Submissions are expected to meet a high scholarly standard, and authors are encouraged to ensure their research is well-presented, advancing the understanding of human-robot interaction, adding cutting-edge or general insights to the field, or challenging current perspectives in this research domain. THRI warmly invites well-crafted paper submissions from a variety of disciplines, encompassing robotics, computer science, engineering, design, and the behavioral and social sciences. The scholarly articles published in THRI may cover a range of topics such as the nature of human interactions with robots and robotic technologies, methods to enhance or enable novel forms of interaction, and the societal or organizational impacts of these interactions. The editorial team is also keen on receiving proposals for special issues that focus on specific technical challenges or that apply human-robot interaction research to further areas like social computing, consumer behavior, health, and education.