Thellman Sam, Ziemke Tom
Department of Computer and Information Science, Cognition & Interaction Lab, Linköping University, Linköping 581 83, Sweden.
iScience. 2020 Sep 29;23(10):101625. doi: 10.1016/j.isci.2020.101625. eCollection 2020 Oct 23.
Keeping track of others' perceptual beliefs-what they perceive and know about the current situation-is imperative in many social contexts. In a series of experiments, we set out to investigate people's ability to keep track of what robots know or believe about objects and events in the environment. To this end, we subjected 155 experimental participants to an anticipatory-looking false-belief task where they had to reason about a robot's perceptual capability in order to predict its behavior. We conclude that (1) it is difficult for people to track the perceptual beliefs of a robot whose perceptual capability potentially differs significantly from human perception, (2) people can gradually "tune in" to the unique perceptual capabilities of a robot over time by observing it interact with the environment, and (3) providing people with verbal information about a robot's perceptual capability might not significantly help them predict its behavior.
在许多社会情境中,了解他人的感知信念——他们对当前情况的感知和认知——至关重要。在一系列实验中,我们着手研究人们跟踪机器人对环境中的物体和事件所知晓或相信的内容的能力。为此,我们让155名实验参与者参与了一项预期注视错误信念任务,在该任务中,他们必须推断机器人的感知能力,以便预测其行为。我们得出以下结论:(1)对于人们来说,跟踪感知能力可能与人类感知有显著差异的机器人的感知信念是困难的;(2)随着时间的推移,人们可以通过观察机器人与环境的交互逐渐“适应”其独特的感知能力;(3)向人们提供有关机器人感知能力的言语信息可能不会显著帮助他们预测其行为。