The global market for conversational AI is experiencing explosive growth, driven by demand for more intuitive and personalized digital experiences across industries. Consumers expect seamless interactions with their devices, moving beyond basic commands to emotionally resonant dialogue. This trend, coupled with the increasing complexity of modern systems, necessitates advanced AI solutions that can not only perform tasks but also foster user loyalty and reduce the burden on human support staff. This technology directly addresses these evolving market demands.
Provides optimal character-driven dialogue based on user voice recognition and screen context, continuously stimulating user engagement.
Goes beyond simple function execution by using encouraging response phrases to promote continuous, active feature utilization.
Enables natural dialogue experiences in various situations, such as driving or operating devices, through flexible response design based on screen status.
This patent protects a system and program that enhance user engagement through interactive character dialogue, adapting responses based on user voice recognition and screen context. Its robust claims, having overcome multiple rejections during examination, ensure a strong and defensible scope, particularly for improving user interaction in specific application scenarios.
This patent focuses on interactive character dialogue for user engagement. White space exists in advanced multimodal interaction, integration with biometric data for emotional AI, or leveraging generative AI for dynamic, context-aware character persona evolution beyond pre-defined responses.
Implementing this technology could reduce inquiry handling workload in customer support by having character AI replace complex feature explanations and operational guidance. For instance, assuming an annual personnel cost of ~$33,500 (AI est.) per operator, and AI partially replacing 20% of the workload for 5 operators, an annual saving of ~$33,500 (AI est.) could be achieved. Including indirect effects from increased user self-resolution, an estimated annual cost reduction of ~$170K (AI est.) is projected.
X: User Engagement Depth
Y: Multifunctionality Integration