Virtual Agents for Behavioral Content Discovery
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current Internet advertisement surveys fail to adapt to the specific characteristics of the target audience, limiting their ability to effectively measure the impact of advertisements on different user types.
Innovation Solution
A method and system that collect user data, including behavioral and geographical information, to emulate user behavior and characteristics, allowing for targeted advertisement surveys by accessing and presenting content from various Internet locations using virtual agents, thereby adapting the survey to the characteristics of the target audience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional advertisement survey methods are used, then survey coverage is broad, but the survey cannot adapt to specific user characteristics and behavioral patterns
Solution Approach 1:
The patent creates virtual agents that copy and emulate real user characteristics, behavioral patterns, and preferences. These virtual agents replicate user profiles including demographics, browsing habits, and interaction patterns, allowing the survey system to adapt to specific user characteristics without requiring actual user participation for each survey scenario.
Solution Approach 2:
The system dynamically adjusts survey parameters based on user characteristics by modifying virtual agent configurations. Parameters such as user preferences, browsing behavior, and interaction patterns are changed to match target audience profiles, enabling the survey to adapt to different user segments while maintaining a unified survey framework.
2Measurement precision
If virtual agents are used to emulate user behavior, then advertisement impact measurement precision is improved, but data collection and processing time increases
Solution Approach 1:
User profiles and behavioral patterns are pre-collected and stored in a database before the actual survey begins. Virtual agents are pre-configured with these user characteristics, allowing the survey execution phase to proceed quickly without real-time data collection delays. The preliminary preparation of user data enables fast survey deployment while maintaining measurement precision.
Solution Approach 2:
Virtual agents autonomously perform survey tasks by automatically interacting with advertisement content based on their programmed user characteristics. The system self-manages the survey execution without requiring manual intervention for each user interaction, reducing processing time while maintaining precise measurement of advertisement impact through automated behavioral emulation.
3Quantity of substance
If multiple user profiles are surveyed, then survey comprehensiveness is improved, but the complexity of managing diverse user characteristics increases
Solution Approach 1:
The virtual agent system serves multiple functions: it can emulate any user profile type, execute different survey scenarios, and adapt to various advertisement formats using the same underlying platform. This universal framework allows the system to manage diverse user characteristics through a single unified interface, reducing the complexity that would otherwise arise from handling multiple separate survey systems.
Solution Approach 2:
User profiles are segmented into distinct virtual agent categories based on demographic and behavioral characteristics. Each virtual agent type represents a specific user segment with predefined characteristics, allowing the system to manage diversity through organized classification rather than handling undifferentiated complex data. This segmentation enables efficient management of multiple user profiles through structured categories.
Data Source
AI summary
A system and a method for automatically collecting content, the method comprising the steps of: defining a plurality of content sites, creating a collection of virtual agents data including user characteristic data and user behavioral data, presenting the collection of virtual agents to the plurality of content sites; receiving content from the visited internet site; and storing the received content or presenting it to a user.