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Following Wrong Suggestions: Self-blame in Human and Computer Scenarios

机译:错误建议之后:人为和计算机情形中的自责

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This paper investigates the specific experience of following a suggestion by an intelligent machine that has a wrong outcome and the emotions people feel. By adopting a typical task employed in studies on decision-making, we presented participants with two scenarios in which they follow a suggestion and have a wrong outcome by either an expert human being or an intelligent machine. We found a significant decrease in the perceived responsibility on the wrong choice when the machine offers the suggestion. At present, few studies have investigated the negative emotions that could arise from a bad outcome after following the suggestion given by an intelligent system, and how to cope with the potential distrust that could affect the long-term use of the system and the cooperation. This preliminary research has implications in the study of cooperation and decision making with intelligent machines. Further research may address how to offer the suggestion in order to better cope with user's self-blame.
机译:本文研究了智能机器遵循建议的特定经验,该机器会产生错误的结果和人们的情绪。通过采用决策研究中的典型任务,我们向参与者展示了两种情况,在这种情况下,他们遵循建议,而专家级人员或智能机器的结果都是错误的。当机器提供建议时,我们发现错误选择的责任感大大降低了。目前,很少有研究按照智能系统的建议调查不良后果可能导致的负面情绪,以及如何应对可能影响系统长期使用和合作的不信任情绪。这项初步研究对智能机器的合作与决策研究具有重要意义。进一步的研究可能会针对如何提供建议以更好地应对用户的自责。

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