The influence of persona and conversational task on social interactions with a LLM-controlled embodied conversational agent
Leon O. H. Kroczek, Alexander May, Selina Hettenkofer, Andreas Ruider, Bernd Ludwig, Andreas M\"uhlberger

TL;DR
This study investigates how the persona (extravert or introvert) and conversational task influence social interactions with an LLM-controlled embodied virtual agent in VR, revealing effects on evaluation, engagement, and realism.
Contribution
It demonstrates that the persona of an embodied virtual agent significantly impacts social-emotional responses and engagement, advancing understanding of social dynamics in virtual interactions with LLMs.
Findings
Extraverted agents received more positive evaluations.
Participants experienced greater engagement with extraverted agents.
Persona did not influence willingness to ask for help, but confidence increased with LLM assistance.
Abstract
Large Language Models (LLMs) have demonstrated remarkable capabilities in conversational tasks. Embodying an LLM as a virtual human allows users to engage in face-to-face social interactions in Virtual Reality. However, the influence of person- and task-related factors in social interactions with LLM-controlled agents remains unclear. In this study, forty-six participants interacted with a virtual agent whose persona was manipulated as extravert or introvert in three different conversational tasks (small talk, knowledge test, convincing). Social-evaluation, emotional experience, and realism were assessed using ratings. Interactive engagement was measured by quantifying participants' words and conversational turns. Finally, we measured participants' willingness to ask the agent for help during the knowledge test. Our findings show that the extraverted agent was more positively evaluated,…
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Taxonomy
TopicsAI in Service Interactions · Social Robot Interaction and HRI · Opinion Dynamics and Social Influence
