Neurodiverse Human-Machine Interaction and Collaborative Problem-Solving in Social VR

Abstract

Social motor coordination is an important mechanism responsible for creating shared understanding but can be a challenge for Autistic individuals. Social virtual reality (VR) provides an opportunity to create a safe and inclusive environment for which interactions can be augmented to promote social interactivity. Due to the bi-directional nature of social interaction and adaptation, we created a framework to explore social motor coordination with a virtual artificial agent which can exhibit human-like behaviors. In this experiment, we assessed the interactive behaviors of participants completing a collaborative problem-solving task with the agent using multidimensional cross-recurrence quantification analysis (mdCRQA). Our results show that participants who discovered novel solutions to the task exhibited greater coupling to the artificial agent regardless of participant characteristics. Future work will explore how social VR environments can be augmented to promote social coordination.