Aymerich-Franch Laura, Gómez Emilia
Universitat Pompeu Fabra, Spain.
European Commission, Joint Research Centre, Spain.
Comput Hum Behav Rep. 2024 Aug;15:None. doi: 10.1016/j.chbr.2024.100465.
This paper presents the results of a large-scale survey (n = 1092) that explored the attitudes and opinions of European Citizens regarding the adoption of socially assistive robots (SARs) for healthcare in the EU. We examined which functions citizens would support and which they consider a threat to trustworthy SARs. We additionally explored the relationships between the perceived vulnerability of the care recipient and acceptance, between attitudes towards robots and gender, age, religious beliefs, and previous experience interacting with SARs, and whether the degree of responsibility taken in performing a role affects acceptance. We also compared attitudes towards robots across European regions. The functions most negatively rated were triage and banning entrance. Privacy raised particular concern. We also found an inverse correlation between the perceived vulnerability of care recipients and acceptance. Additionally, we found a positive relationship between religious beliefs and fear of robots, a positive relationship between previous robot experience and attitudes towards them, and that females have less positive attitudes towards robots than males. Also, the degree of responsibility in a role determined acceptance. Involving citizens in the decisions concerning SARs deployment is important to build a society that people feel is fair in terms of robot coexistence. The results of the survey intend to provide evidence-based support to policies in this area.
本文展示了一项大规模调查(n = 1092)的结果,该调查探讨了欧盟公民对采用社会辅助机器人(SAR)用于医疗保健的态度和看法。我们研究了公民会支持哪些功能,以及他们认为哪些功能对可靠的SAR构成威胁。我们还探讨了受护理者的感知脆弱性与接受度之间的关系、对机器人的态度与性别、年龄、宗教信仰以及之前与SAR交互的经验之间的关系,以及履行角色时承担的责任程度是否会影响接受度。我们还比较了欧洲不同地区对机器人的态度。评分最低的功能是分诊和禁止进入。隐私问题引起了特别关注。我们还发现受护理者的感知脆弱性与接受度之间存在负相关。此外,我们发现宗教信仰与对机器人的恐惧之间存在正相关,之前的机器人体验与对它们的态度之间存在正相关,并且女性对机器人的态度不如男性积极。而且,角色中的责任程度决定了接受度。让公民参与有关SAR部署的决策对于建立一个人们认为在机器人共存方面公平的社会很重要。调查结果旨在为该领域的政策提供基于证据的支持。