Lonely human and dominant robot: Similarity versus complementary attraction

Lingzhi Yu, Xiucheng Fan
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Abstract

While social robots can provide companionship, people hesitate to connect with them. This research delves into a neglected question: How can we enhance the probability of potential users, especially those grappling with loneliness, connecting with companion robots to fulfill their social needs? Building upon the friendliness–dominance model and attraction theory in social psychology, our six studies reveal that individuals experiencing greater loneliness hold generally less favorable attitudes toward the idea of adopting robotic companionship. However, lonelier individuals show a higher inclination to bond with robots that act submissive rather than dominant ones. This research contributes to the understanding of human–robot interaction by examining how human traits and their perceptions of robot personalities jointly influence the interaction. The results have significant implications for guiding the design of robot product attributes to enhance their appeal to individuals experiencing varying degrees of loneliness.
孤独的人类与占主导地位的机器人相似吸引与互补吸引
虽然社交机器人可以为人们提供陪伴,但人们却不愿与它们建立联系。这项研究探讨了一个被忽视的问题:我们怎样才能提高潜在用户,尤其是那些饱受孤独困扰的用户,与陪伴机器人建立联系以满足其社交需求的可能性?基于社会心理学中的友好-优势模型和吸引理论,我们的六项研究显示,孤独感较强的人对采用机器人陪伴的想法普遍持不赞成态度。然而,较孤独的个体更倾向于与表现顺从的机器人而非支配型机器人建立联系。这项研究通过考察人类特质和他们对机器人性格的认知如何共同影响互动,有助于理解人与机器人的互动。研究结果对于指导机器人产品属性的设计,以增强其对不同孤独程度的人的吸引力具有重要意义。
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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