Department of Biomedical Engineering, University of Delaware, Newark, DE, USA.
Department of Mechanical Engineering, University of Delaware, Newark, DE, USA.
Sci Rep. 2022 May 25;12(1):8806. doi: 10.1038/s41598-022-12662-y.
We often acquire sensory information from another person's actions to make decisions on how to move, such as when walking through a crowded hallway. Past interactive decision-making research has focused on cognitive tasks that did not allow for sensory information exchange between humans prior to a decision. Here, we test the idea that humans accumulate sensory evidence of another person's intended action to decide their own movement. In a competitive sensorimotor task, we show that humans exploit time to accumulate sensory evidence of another's intended action and utilize this information to decide how to move. We captured this continuous interactive decision-making behaviour with a drift-diffusion model. Surprisingly, aligned with a 'paralysis-by-analysis' phenomenon, we found that humans often waited too long to accumulate sensory evidence and failed to make a decision. Understanding how humans engage in interactive and online decision-making has broad implications that spans sociology, athletics, interactive technology, and economics.
我们经常通过观察他人的动作来获取感官信息，从而决定自己如何行动，比如在穿过拥挤的走廊时。过去的互动决策研究主要集中在认知任务上，这些任务在决策之前不允许人类之间进行感官信息交换。在这里，我们测试了这样一种观点，即人类会积累另一个人意图动作的感官证据，以便决定自己的动作。在一个竞争的感觉运动任务中，我们表明人类会利用时间来积累另一个人意图动作的感官证据，并利用这些信息来决定如何移动。我们使用漂移扩散模型来捕捉这种连续的互动决策行为。令人惊讶的是，与“分析瘫痪”现象一致，我们发现人类经常等待太久才积累感官证据，以至于无法做出决策。理解人类如何进行互动和在线决策具有广泛的意义，涵盖了社会学、运动、交互技术和经济学等领域。
