This study investigated how people coordinate their decisions and actions with a risky or safe computer-generated agent in a humanoid or non-humanoid form and how this experience influences later behavior when acting alone. In Experiment 1, participants first repeatedly crossed continuous traffic in a virtual environment with a humanoid computer-generated agent (Figure 1). Participants were specifically instructed to cross with an agent that was programmed to be either safe (taking only large gaps) or risky (also taking relatively small gaps). Participants then repeatedly crossed the same roadway alone. We found that participants’ experiences with crossing safe vs. risky gaps with an agent persisted in later trials when the participants crossed alone, such that participants accepted tighter gaps if they were previously paired with a risky than a safe agent. In Experiment 2 (Figure 2), we tested whether experience crossing with a risky or safe non-humanoid object (a floating box) also influenced later behavior when crossing alone. We again found that participants who crossed with the risky object partner took tighter gaps when later crossing alone than those who crossed with the safe object partner. The Discussion focuses on the impact of experiences with virtual agents on perception–action tuning and the potential of using virtual agents for training safe road-crossing behavior.

中文翻译：

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使用计算机生成的代理过马路

这项研究调查了人们如何以人形或非人形形式与危险或安全的计算机生成代理协调他们的决策和行动，以及这种体验如何影响单独行动时的后续行为。在实验 1 中，参与者首先在虚拟环境中使用人形计算机生成的代理反复穿越连续交通（图 1）。参与者被特别指示与一个被编程为安全（只走大差距）或有风险（也走相对较小差距）的代理人交叉。然后，参与者反复独自穿过同一条道路。我们发现，当参与者单独穿越时，参与者与代理人穿越安全与风险差距的经历在后来的试验中持续存在，这样，如果参与者之前与风险大于安全的代理人配对，他们就会接受更小的差距。在实验 2（图 2）中，我们测试了与危险或安全的非人形物体（浮箱）穿越的经历是否也会影响以后单独穿越时的行为。我们再次发现，与危险对象伙伴穿越的参与者在以后单独穿越时比与安全对象伙伴穿越的参与者更紧密。讨论的重点是虚拟代理体验对感知-动作调整的影响，以及使用虚拟代理训练安全过马路行为的潜力。我们再次发现，与危险对象伙伴穿越的参与者在以后单独穿越时比与安全对象伙伴穿越的参与者更紧密。讨论的重点是虚拟代理体验对感知-动作调整的影响，以及使用虚拟代理训练安全过马路行为的潜力。我们再次发现，与危险对象伙伴穿越的参与者在以后单独穿越时比与安全对象伙伴穿越的参与者更紧密。讨论的重点是虚拟代理体验对感知-动作调整的影响，以及使用虚拟代理训练安全过马路行为的潜力。