Video Ad Behavioral Data Collection Module
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Solution Overview
Problem
Current methods for evaluating the effectiveness of online content, such as video ads, face limitations in efficiently collecting and processing user behavioral data, particularly emotional state data, across various video players and platforms, leading to incomplete and inefficient feedback.
Innovation Solution
A method that integrates computer user behavioral data collection within the video ad response, utilizing an executable data collection and processing module to gather and synchronize emotional state data, along with other user interactions, and transform it into packetized structures for efficient transmission to a remote server, compatible with streaming protocols, ensuring minimal disruption to media playback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual rating systems and questionnaires are used to evaluate content effectiveness, then user feedback can be collected, but the process is time-consuming and requires active user participation
Solution Approach 1:
The system enables automatic data collection where the user's computer and webcam perform the evaluation work without requiring active user participation. The behavioral data collection module automatically captures user interactions, facial expressions, and emotional states, eliminating the need for manual rating input from users.
Solution Approach 2:
The patent replaces manual mechanical rating input with automated computer-based data collection. Instead of users manually selecting ratings or filling questionnaires, the system uses software agents to automatically capture behavioral data, facial images, and interaction metrics through the computer's camera and sensors.
2Loss of information
If facial feature tracking and emotion analysis are implemented, then emotional state data can be obtained, but computational resources and processing power are significantly consumed
Solution Approach 1:
The system segments the data collection and processing tasks between the user's local computer and the remote server. The local computer collects raw behavioral data and facial images, while the computationally intensive emotion analysis and data processing are performed on the server, distributing the computational load efficiently.
Solution Approach 2:
The patent introduces a behavioral data collection module as an intermediary that efficiently manages the flow of data between the webcam, the emotion analysis system, and the server. This intermediary optimizes data transmission and processing, reducing unnecessary computational overhead.
3Loss of information
If comprehensive behavioral data is collected across multiple platforms and video players, then data completeness improves, but system complexity and integration difficulty increase
Solution Approach 1:
The system employs a universal behavioral data collection module that functions across multiple platforms and video players. This single module handles diverse data collection requirements uniformly, supporting different operating systems, browsers, and video players without requiring separate implementations for each platform.
Solution Approach 2:
The patent uses the behavioral data collection module as an intermediary layer between various video players and the server, standardizing data formats and communication protocols. This intermediary handles platform-specific variations, allowing comprehensive data collection without increasing overall system complexity.
4Productivity
If real-time behavioral data collection is implemented during video playback, then immediate feedback is obtained, but disruption to media playback may occur
Solution Approach 1:
The system segments data collection operations to occur during natural pauses or low-activity periods in video playback. The behavioral data collection module captures user interactions and facial expressions without continuously interrupting the media stream, maintaining playback smoothness while gathering necessary data.
Data Source
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AI summary
A method of initiating and controlling computer user behavioural data (e.g., emotional state information) collection and processing within the structure of a video ad response provides an analysis of video ad effectiveness as a result of interaction with the computer user. A behavioural data collection and processing module is caused to run by the execution of a Video Ad Standard Template (VAST) compliant video ad response in a video player. The data collection and processing module may be obtained by calling a resource identifier contained in the video ad response, or by providing an executable application within the served video ad response itself. In more particular methods according to the invention, processing of collected data is managed so as to improve the efficiency of media playback at the client computer and communications with remote servers.