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Does the Propensity to Take Risks Influence Human Interactions with Autonomous Systems?

机译:承担风险的倾向是否会影响人类与自主系统的互动?

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Technological development towards automation has been taking place for years and a wide range of autonomous systems (AS) have been introduced in homes and retailing spaces. Although these AS seem to be riskless, if they are exploited they can endanger private information of users, which opens a new stage for the security of AS. Humans have an initial and positive bias towards automation that might lead to errors related to unintentional actions or lack of actions. Therefore, the effective adoption of AS relies on users' attitudes, like the propensity to take risks and the calibration of human trust to avoid situations of mistrust, over trust, and distrust, increasing the systems' security. This study conducted an online questionnaire to investigate the relationship between an individual's propensity to take risks and trust in automation. We found that participants with low risk seeking tendencies will trust more in AS when compared to high risk seeking participants. Moreover, other individual differences like age, gender, and education led to interesting results. Thus, our study provides valuable information about the human factors that mediate human and autonomous systems interactions and thereby influence trust.
机译:多年来正在进行自动化的技术发展,并且在家庭和零售空间中引入了广泛的自治系统(AS)。虽然这些似乎是无风险的,但如果他们被剥削,他们可以危及用户的私人信息,这为安全的安全开辟了新的阶段。人类对自动化具有初始和积极的偏见,可能导致与无意行动或缺乏行动相关的错误。因此,依赖于用户态度的有效采用,如倾向于承担风险的倾向和人类信任的校准,以避免不信任,信任和不信任,增加系统的安全性。本研究开展了一个在线问卷,以调查个人对自动化风险和信任的倾向之间的关系。我们发现,与寻求参与者的高风险相比,寻求趋势的低风险趋势的参与者将相互信任。此外,其他个体差异等年龄,性别和教育导致了有趣的结果。因此,我们的研究提供了有关调节人类和自主系统相互作用的人为因素的宝贵信息,从而影响信任。

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