Character-Based Virtual Assistant for Personalized In-App Help
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Solution Overview
Problem
Users often face challenges in interacting with memorable characters from media and require assistance while using applications, and existing help systems lack personalization and engagement.
Innovation Solution
A virtual assistant is developed using generative machine learning systems to replicate the personality and responses of characters from various media, integrating neural networks and natural language processing to provide personalized and engaging help within applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional help systems (manuals, online help) are used, then users can obtain information, but user engagement and satisfaction are low
Solution Approach 1:
The patent creates a virtual assistant that copies and replicates the personality, speech patterns, and mannerisms of memorable media characters. This allows users to interact with familiar character personas who provide help and information, transforming dry manual-based assistance into engaging character-driven interactions that maintain reliability while dramatically improving user engagement
Solution Approach 2:
The virtual assistant serves as an intermediary between the user and the traditional help system. Instead of users directly consulting manuals or online help, the virtual assistant mediates by processing user queries and delivering information through character personas, making the help-seeking process more natural and engaging while maintaining access to comprehensive help resources
2Adaptability or versatility
If generic help systems are used, then implementation is simple, but personalization and user connection are lacking
Solution Approach 1:
The system enables personalization by changing key parameters of the virtual assistant, including selecting different media characters as personas, adjusting speech patterns and mannerisms to match character traits, and tailoring responses to user preferences. This allows the same underlying system to adapt to different personalization requirements without requiring complete system redesign
Solution Approach 2:
The virtual assistant platform serves multiple functions: it provides traditional help information, delivers personalized character interactions, and adapts to different media characters and user preferences. This multi-functionality allows a single system to handle both generic help delivery and highly personalized character-based assistance, reducing overall system complexity while expanding capabilities
Data Source
AI summary
A device, system, and non-transitory computer readable medium for providing a specialized agent comprising an application and a virtual assistant are disclosed. The virtual assistant includes a neural network trained with a machine learning algorithm to emulate a communication style of a character and wherein the virtual assistant is further trained on application metadata to a predict response to questions about the application.