Virtual Agent Positioning Driven by Personal Characteristics

Jingjing Liu, Youyi Zheng, Kun Zhou

Abstract: When people use agent characters to travel through different spaces (such as virtual scenes and real scenes, or different game spaces), it is important to reasonably position the characters in the new scene according to their personal characteristics. In this paper, we propose a novel pipeline for relocating virtual agents in new scenarios based on their personal characteristics. We extract the characteristics of the characters (including figure, posture, social distance). Then a cost function is designed to evaluate the agent's position in the scene, which consists of a spatial term and an personalized term. Finally, a a Markov Chain Monte Carlo optimization method is applied to search for the optimized solution. The results generated by our approach are evaluated through extensive user study experiments, verifying the effectiveness of our approach compared with other alternative approaches.

Primary Subject Area: [Engagement] Multimedia Search and Recommendation

Secondary Subject Area: [Experience] Multimedia Applications

Relevance To Conference: Personalized information about agents based on historical scenes contributes significantly to multimedia and multimodal scenarios. By analyzing an agent's behavior and preferences in different contexts, we can automatically locate their tasks in new scenes, providing tailored services and assistance. This personalized information helps us understand an agent's skills and knowledge accurately, enabling them to adapt better to diverse situations and offer relevant support. Additionally, it enhances the fluidity of collaborative work across scenes by matching agents with suitable partners based on their past performance and preferences. Furthermore, this information can be used to analyze social relationships among multiple agents. This enables users to have a seamless social experience in virtual scenarios. By understanding the dynamics of interactions between agents, we can create virtual environments that foster positive social interactions and enhance user engagement. Such personalized insights facilitate efficient collaboration and coordination among agents, ultimately improving the overall workflow and ensuring a rewarding social experience for users in multimedia and multimodal contexts.

Submission Number: 1333