结合投射意识模型和虚拟人进行沉浸式心理学研究:模拟ToM评估的概念验证

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2023-02-21 DOI:10.1145/3583886
D. Rudrauf, Grégoire Sergeant-Perhtuis, Y. Tisserand, Teerawat Monnor, Valentin Durand de Gevigney, Olivier Belli
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引用次数: 2

摘要

将显性心理机制和可观察的行为联系起来是心理和行为科学的中心目标。其中一个挑战是理解和模拟意识的作用,特别是它的主观视角作为行为治理中的内部表现水平(包括社会认知)。为了实现这一目标,我们将投射意识模型(PCM)的原理应用到虚拟人的人工代理中,扩展了该模型的先前实现。我们的目标是提供一个纯粹基于模拟的概念验证,作为未来方法论框架的基础。它的首要目标是能够在虚拟现实实验的背景下,基于与意识研究相关的模型,评估人类参与者的隐藏心理参数。为了说明这一方法,我们重点模拟了心理理论(ToM)在选择接近和回避的战略行为中所起的作用,以优化代理偏好的满意度。我们在虚拟环境中设计了一个主要的实验,可以用在真人身上,允许我们将行为分类为ToM阶的函数,直到二阶。我们表明,在本实验中,使用PCM的智能体表现出与ToM参数一致的预期行为。我们还证明了代理可以用来正确地估计彼此的ToM的顺序。此外,在一个补充实验中,我们展示了代理如何同时估计ToM的顺序和归因于他人的偏好以优化行为结果。未来的研究将在虚拟现实实验中对真实的人类进行经验评估和微调框架。
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Combining the Projective Consciousness Model and Virtual Humans for Immersive Psychological Research: A Proof-of-concept Simulating a ToM Assessment
Relating explicit psychological mechanisms and observable behaviours is a central aim of psychological and behavioural science. One of the challenges is to understand and model the role of consciousness and, in particular, its subjective perspective as an internal level of representation (including for social cognition) in the governance of behaviour. Toward this aim, we implemented the principles of the Projective Consciousness Model (PCM) into artificial agents embodied as virtual humans, extending a previous implementation of the model. Our goal was to offer a proof-of-concept, based purely on simulations, as a basis for a future methodological framework. Its overarching aim is to be able to assess hidden psychological parameters in human participants, based on a model relevant to consciousness research, in the context of experiments in virtual reality. As an illustration of the approach, we focused on simulating the role of Theory of Mind (ToM) in the choice of strategic behaviours of approach and avoidance to optimise the satisfaction of agents’ preferences. We designed a main experiment in a virtual environment that could be used with real humans, allowing us to classify behaviours as a function of order of ToM, up to the second order. We show that agents using the PCM demonstrated expected behaviours with consistent parameters of ToM in this experiment. We also show that the agents could be used to estimate correctly each other’s order of ToM. Furthermore, in a supplementary experiment, we demonstrated how the agents could simultaneously estimate order of ToM and preferences attributed to others to optimize behavioural outcomes. Future studies will empirically assess and fine tune the framework with real humans in virtual reality experiments.
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CiteScore
7.20
自引率
4.30%
发文量
567
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