Context-Aware Ad Distribution via User State Analysis
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Solution Overview
Problem
Current systems for distributing messages to mobile communication devices overwhelm users with advertisements, as they are sent without consideration for the recipient's context or state, leading to irrelevant and potentially distracting content.
Innovation Solution
A system and method that analyze data related to the user's device, including movement and status indicators, to select and transmit tailored advertisements, such as audio or visual content, based on the user's state of mind, which can be determined by factors like speed, location, and association with a vehicle or bicycle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If advertisements are transmitted to mobile devices without filtering, then the quantity of messages delivered is maximized, but user distraction and irrelevance increase
Solution Approach 1:
The patent applies local quality by tailoring advertisement content to specific user contexts and states of mind. Different users receive different advertisements based on their individual characteristics, current activities, and contextual data, rather than a uniform broadcast approach. This ensures that each user receives relevant content appropriate to their situation.
Solution Approach 2:
The system changes parameters by analyzing multiple variables including user location, movement status, time of day, and device state to dynamically determine which advertisements to deliver. The decision to send an advertisement depends on changing parameters such as whether the user is moving, stationary, in a vehicle, or engaged in specific activities.
2Reliability
If context analysis is performed on user data, then advertisement relevance is improved, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary advertising server that acts as a mediator between users and advertisement content. This server performs the complex data analysis and correlation operations, receiving data from multiple sources including mobile devices, third-party services, and contextual data providers, then processing this information to determine appropriate advertisements without burdening the user's device.
Solution Approach 2:
The system performs preliminary actions by pre-establishing data collection mechanisms and correlation relationships. User data is continuously gathered and correlated with advertisement databases in advance, so that when a suitable advertising opportunity arises, the system can quickly deliver relevant content without real-time complex processing.
3Measurement precision
If multiple data sources are correlated, then user state determination accuracy is improved, but information processing requirements increase
Solution Approach 1:
The patent segments data collection and processing into distinct modular components. Different data sources (location services, movement detection, calendar information, contact data) are collected and processed separately, then correlated by the advertising server. This segmentation allows each component to operate independently and efficiently while maintaining overall system accuracy.
Data Source
AI summary
The present disclosure described herein relates to a system and method for distributing messages to an electronic device. The method comprises: analyzing data relating to the device to determine a correlation of data relating to a user of the device; selecting an advertisement from a set of advertisements based on the correlation of data; and transmitting the advertisement to the device. The correlation of data may be determined from analyzing movement data and at least one status indicator relating to the device.