Technically in love: Individual differences relating to sexual and platonic relationships with robots

Connor E. Leshner, Jessica R. Johnson
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Abstract

Incremental advancements in technology present researchers with opportunities to examine and predict human behavior before the integration of technology into daily life. Previous studies have identified trends in both the design and reception of current social robotic technologies, including gender biases and social “othering”, which may affect how humans interact with more advanced robotic technologies in the future. The aim of the current study was to explore whether preconceived beliefs about gender inequality, interest in casual sex, and social hierarchies would relate individuals’ interest in engaging in platonic friendships (“robofriendship”) or sexual relationships (“robosexuality”) with hypothetical human-like robots. Two-hundred and twelve participants completed an online survey measuring gender, ambivalent sexism, social dominance orientation, and sociosexual orientation in relation to individuals’ interest in both robofriendship and robosexuality. It was found that hostile sexism positively predicted interest in robosexuality, particularly for men (β = .16, b = .27, 95% CI [.03, .30], t(209) = 2.364, p = .019). Conversely, hostile sexism negatively predicted robofriendship, and significant interactions effects were found in that at lower levels of SDO, women maintained greater interest in robofriendship than men (β = .26, b = .54, 95% CI [.09, .99], t(208) = −2.235, p = .02). The current study provides preliminary evidence to suggest that preconceived beliefs about social hierarchy and gender inequality may impact romantic and platonic interactions between humans and robots. Limitations and future directions are also discussed.
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技术上的爱情与机器人建立性关系和柏拉图式关系的个体差异
技术的逐步发展为研究人员提供了在技术融入日常生活之前研究和预测人类行为的机会。以往的研究发现了当前社交机器人技术在设计和接受方面的趋势,包括性别偏见和社会 "他者化",这可能会影响人类未来如何与更先进的机器人技术互动。本研究旨在探讨有关性别不平等、对偶然性行为的兴趣和社会等级制度的先入为主的观念是否会影响个人与假想的类人机器人建立柏拉图式友谊("机器人友谊")或性关系("机器人性关系")的兴趣。212 名参与者完成了一项在线调查,测量了性别、矛盾的性别歧视、社会主导取向和社会性取向与个人对机器人友谊和机器人性关系的兴趣之间的关系。调查发现,敌意性别歧视对机器人性行为的兴趣有积极的预测作用,尤其是男性(β = .16,b = .27,95% CI [.03, .30],t(209) = 2.364,p = .019)。相反,敌意性别歧视对机器人友谊有负面预测作用,并且发现了显著的交互作用效应,即在较低的 SDO 水平下,女性比男性对机器人友谊保持更大的兴趣(β = .26, b = .54, 95% CI [.09, .99], t(208) = -2.235, p = .02)。本研究提供的初步证据表明,关于社会等级和性别不平等的先入为主的观念可能会影响人类与机器人之间的浪漫和柏拉图式互动。本文还讨论了研究的局限性和未来发展方向。
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