Voice Assistant Dynamic Ad Delivery via User Fatigue Feedback
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Solution Overview
Problem
Existing voice assistant services for interactive advertisements focus on pre-produced ads, leading to user fatigue and discomfort during conversations, as they lack the ability to dynamically adjust advertisements based on user interest and fatigue levels.
Innovation Solution
An electronic apparatus and method that utilize a knowledge graph to analyze user utterance history and advertisement history to determine interest levels and fatigue, selectively outputting targeted advertisements through a microphone and audio outputter, ensuring ads are relevant and non-intrusive.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If pre-produced advertisements are delivered through voice assistant, then advertisement delivery is achieved, but user fatigue and discomfort occur
Solution Approach 1:
The patent implements dynamic advertisement delivery by continuously monitoring user interest levels and advertisement fatigue levels in real-time. The system adjusts advertisement delivery decisions based on current dialogue context and historical data, transforming the static pre-produced advertisement model into a dynamic adaptive system that responds to user state changes.
Solution Approach 2:
The patent establishes a feedback mechanism where the system tracks user interactions with advertisements and dialogue content, calculates interest and fatigue levels, and uses this feedback to modulate future advertisement delivery. This closed-loop control prevents user fatigue by adjusting delivery based on accumulated feedback about user response.
2Loss of information
If advertisements are delivered according to fixed dialogue content, then advertisement relevance is improved, but conversation naturalness deteriorates
Solution Approach 1:
The patent changes the parameters of advertisement delivery from fixed dialogue-triggered events to continuous parameter-based decisions involving interest level, fatigue level, and relevance score. These dynamic parameters allow the system to maintain relevance while adapting to natural conversation flow variations.
Solution Approach 2:
The system transitions from static advertisement insertion based on predetermined dialogue patterns to dynamic advertisement delivery that continuously adapts to actual conversation context, user interest, and fatigue levels, preserving natural conversation flow.
3Productivity
If advertisement delivery is increased to improve effectiveness, then advertisement effectiveness is improved, but user fatigue increases
Solution Approach 1:
The patent implements a feedback-based control system that monitors user responses to advertisements and calculates fatigue levels. When fatigue thresholds are approached, the system automatically reduces delivery frequency, creating a self-regulating mechanism that maintains effectiveness while preventing excessive fatigue.
Solution Approach 2:
The patent applies partial action by delivering advertisements selectively rather than continuously. The system determines optimal delivery moments based on user interest levels, providing sufficient advertisement exposure for effectiveness while avoiding excessive delivery that would cause fatigue.
Data Source
AI summary
An electronic apparatus includes a microphone, a speaker, a memory, and a processor. The processor obtains a product keyword from a text converted from a user voice that is input through the microphone, identify a product category related to the product keyword; determine whether to provide an advertisement related to the user voice based on an interest level of the user according to utterance history information and an advertisement fatigue level of the user; and based on a determination to provide the advertisement, obtain advertisement information based on a target product category identified according to the interest level of the user, and control the speaker to output an advertisement voice based on the advertisement information.