Voice Ad Assistant for Contextual Monetization in VR and AI
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Solution Overview
Problem
Existing voice assistants and AI platforms lack integrated systems for voice-based advertising and monetization, particularly in immersive environments like VR and smart devices, failing to deliver seamless, interactive, and contextually relevant ads.
Innovation Solution
A voice-based digital assistant platform that delivers monetized, contextually relevant advertisements across various interfaces, including AI systems, VR environments, and smart devices, using keyword recognition and speech processing to trigger ads based on user prompts, location, and interactions, while preserving user immersion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voice assistants provide hands-free user interaction, then user convenience is improved, but advertising and monetization capabilities are lost
Solution Approach 1:
The patent combines voice assistant functionality with advertising and monetization capabilities into a unified system. The voice assistant platform integrates ad delivery mechanisms, allowing it to simultaneously provide hands-free user interaction and serve contextual advertisements through the same voice interface, thus merging previously separate functions into one cohesive system.
Solution Approach 2:
The voice assistant is designed with multi-functionality to perform both user service and advertising functions. It can respond to user queries while also delivering contextual ads, and it operates across multiple platforms including AI systems, VR environments, and smart devices, making it a universal solution that handles diverse functions without requiring separate specialized systems.
2Object-generated harmful factors
If visual digital ads are used, then advertising presence is improved, but user immersion is disrupted especially in VR environments
Solution Approach 1:
The patent replaces visual ad mechanisms with acoustic/voice-based ad delivery. Instead of displaying visual ads that disrupt VR immersion, the system uses voice to deliver contextual advertisements naturally integrated into the conversational flow, substituting the visual channel with an auditory one that preserves spatial immersion while maintaining advertising effectiveness.
Solution Approach 2:
The system changes the delivery parameter of advertisements from visual to auditory modalities. By transforming ads from visual displays to voice-based contextual insertions, the system adapts the advertising mechanism to match the immersive environment's characteristics, delivering ads through the audio channel rather than visual channels to minimize disruption.
3Loss of information
If AI platforms provide rich information via text or voice, then information quality is improved, but contextually relevant voice ads and commerce capabilities are lost
Solution Approach 1:
The patent merges information delivery with advertising and commerce capabilities within the AI platform. The same AI system that provides rich textual and vocal information also delivers contextually relevant voice ads and facilitates voice-activated commerce, combining information service and monetization functions into a single integrated AI platform.
Solution Approach 2:
The system introduces an intermediary layer that enables contextual ad delivery and commerce functionality within the AI platform's information flow. This intermediary mechanism allows the AI platform to seamlessly transition from providing information to delivering targeted advertisements and commerce opportunities based on the conversational context, without disrupting the information quality.
4Loss of time
If traditional ads are delivered during idle call time, then cost savings are achieved, but active user engagement and personalization are limited
Solution Approach 1:
The patent transitions from static ad delivery during idle time to dynamic, real-time voice-activated ad delivery. The system dynamically responds to user interactions, queries, and contextual cues to deliver personalized advertisements at appropriate moments during active engagement, making the ad delivery timing flexible and adaptive rather than fixed to idle periods.
Solution Approach 2:
The system uses feedback from user interactions, queries, and contextual data to personalize and time ad delivery optimally. By continuously monitoring user behavior and conversation context, the system receives feedback that enables it to adjust ad delivery timing and content, transitioning from blind idle-time ads to feedback-driven personalized ads delivered at the moment of highest relevance.
Data Source
AI summary
A system and method for delivering monetized voice interactions via artificial intelligence (AI) platforms, voice assistants, smart devices, and immersive environments, including virtual and augmented reality. The system facilitates real-time retrieval and presentation of contextually relevant advertisements and content in response to user-initiated voice prompts or search queries. Through a voice-based user interface, users can access virtual products and services, execute voice-activated transactions, and receive information in a seamless and non-disruptive manner. The system is configured for integration with third-party AI and voice platforms, including but not limited to OpenAI, Siri, and Alexa, and may operate independently as a dedicated voice marketing assistant. The system architecture supports both embedded and standalone deployments across multiple device ecosystems.