Combining the Projective Consciousness Model and Virtual Humans for Immersive Psychological Research: A Proof-of-concept Simulating a ToM Assessment
David Rudrauf, G. Sergeant-Perhtuis, Yvain Tisserand, Teerawat Monnor, Valentin Durand de Gevigney, O. Belli
ACM Transactions on Interactive Intelligent Systems February 21, 2023 DOI: 10.1145/3583886 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Proof-of-concept simulation study Peer reviewed |
|---|---|
| Population | Artificial agents embodied as virtual humans |
| Citations | 5 |
| Key points | Agents implementing the Projective Consciousness Model showed expected approach and avoidance behaviours with consistent Theory of Mind parameters, correctly estimated each other's order of ToM up to second order, and in a supplementary simulation simultaneously estimated others' ToM order and preferences to optimise behavioural outcomes. The authors present these simulation results as a proof of concept for a future framework to assess hidden psychological parameters in human virtual reality experiments. |
Abstract
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.
Citations in the library
Cited by 2
- Psychological Views on Digital Consciousness and Human Consciousness Advances in Computational Intelligence and Robotics April 5, 2024
- The Projective Consciousness Model: Projective Geometry at the Core of Consciousness and the Integration of Perception, Imagination, Motivation, Emotion, Social Cognition and Action. Brain Sciences October 9, 2023
Cites 17
- An Interoceptive Predictive Coding Model of Conscious Presence Frontiers in Psychology 2012
- Thinking through other minds: A variational approach to cognition and culture. Behavioral and Brain Sciences May 30, 2019
- Minimal self-models and the free energy principle. Frontiers in Human Neuroscience September 12, 2013
- The rise of machine consciousness: studying consciousness with computational models. Neural Networks August 1, 2013
- The Projective Consciousness Model and Phenomenal Selfhood. Frontiers in Psychology 2018
and 12 more in the library