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Trust Toward Robots and Artificial Intelligence: An Experimental Approach to Human–Technology Interactions Online

机译:信任机器人和人工智能:在线人力技术互动的实验方法

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Robotization and artificial intelligence (AI) are expected to change societies profoundly. Trust is an important factor of human–technology interactions, as robots and AI increasingly contribute to tasks previously handled by humans. Currently, there is a need for studies investigating trust toward AI and robots, especially in first-encounter meetings. This article reports findings from a study investigating trust toward robots and AI in an online trust game experiment. The trust game manipulated the hypothetical opponents that were described as either AI or robots. These were compared with control group opponents using only human name or nickname. Participants (N = 1077) lived in the United States. Describing opponents with robots or AI did not impact participants’ trust toward them. The robot called jdrx894 was the most trusted opponent. Opponents named “jdrx894” were trusted more than opponents called “Michael.” Further analysis showed that having a degree in technology or engineering, exposure to robots online and robot use self-efficacy predicted higher trust toward robots and AI. Out of Big Five personality characteristics, openness to experience predicted higher trust, and conscientiousness predicted lower trust. Results suggest trust on robots and AI is contextual and it also dependent on individual differences and knowledge on technology.
机译:预计Robotization和人工智能(AI)预计将深入改变社会。信任是人力技术互动的一个重要因素,因为机器人和AI越来越贡献了人类以前处理的任务。目前,需要研究对AI和机器人的信任,特别是在第一次遭遇会议上。本文报告了一个研究在在线信任游戏实验中调查了对机器人和AI的信任的研究结果。信托游戏操纵被描述为AI或机器人的假设对手。这些与人类名称或昵称的对照组对手进行比较。参与者(n = 1077)住在美国。用机器人或AI描述对手并没有影响参与者对他们的信任。叫做JDRX894的机器人是最值得信赖的对手。命名为“JDRX894”的对手是比称为“Michael”的反对者相信。进一步的分析表明,具有技术或工程学位,在线接触机器人和机器人使用自我效能预测对机器人和AI的信任更高。出于较大的五个人格特征,经验的开放预测更高的信任,并且休闲性预测降低信任。结果建议对机器人和AI的信任是语境的,它还取决于各种差异和技术知识。

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