AI-enhanced conversational avatars for immersive interaction

This paper reviews the significance of key technologies of AI-enhanced conversational avatars and their applications for immersive interaction, including increased AI system adoption, enhanced trustworthiness, and personalized and engaging interactions. Using empirical data and case studies, this paper provides evidence regarding recent advancements that facilitate high-fidelity and style-controllable avatar generation, providing customizable options for users for online social interactions. This is possible by integrating several AI modules like text-to-speech, speech recognition, and open-domain dialogue systems for responsive and realistic virtual characters. Considering technologies like natural language processing (NLP), affective computing, and multimodal interaction are examined, the framework's effectiveness for AI avatars in conversational agents and its constituent elements like appearance, nonverbal and verbal communication, machine learning capabilities, and appearance characteristics are demonstrated. Although numerous benefits are derivable from the integration, experts have cautioned about discrimination, biases, and potential psychological effects related to AI avatars, hence it is critical to ensure responsible development and interaction.