Automated Media Selection via Mobile Device Polling
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Solution Overview
Problem
Selecting media content that appeals to a group of people in various locations is challenging due to differing preferences, and querying each individual for preferences can be costly, inconvenient, and inaccurate, with preferences changing over time.
Innovation Solution
A mobile device polling system that identifies participant devices within a wireless network, collects media content attributes, and selects presentation media based on aggregated polling data to present content that resonates with the group.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional querying methods are used to collect media preferences from each individual, then preference information can be obtained, but the process becomes costly, inconvenient, and inaccurate
Solution Approach 1:
The system automatically collects media preference information from users' mobile devices without requiring active participation or input from the users. The polling module retrieves media library information, playback history, and favorite content directly from each user's device, allowing the system to serve itself the data it needs rather than requiring users to manually provide preferences through surveys or queries.
Solution Approach 2:
The patent replaces the mechanical process of manual querying and data collection with an automated electronic polling system. Instead of using traditional survey methods that require user interaction, the system uses automated communication protocols to exchange data packets between mobile devices and the central server, substituting manual information gathering with automated digital data retrieval.
2Measurement precision
If individual preference queries are conducted, then media selection can be personalized, but the process is time-consuming and preferences may change making results defunct
Solution Approach 1:
The system collects and stores media preference information in advance by automatically polling users' mobile devices for their media library contents, playback histories, and favorite selections. This preliminary data collection occurs before the actual media selection event, allowing the system to have preference information ready without requiring time-consuming queries at the moment of selection. The pre-collected data can be quickly processed to generate personalized media selections.
Solution Approach 2:
The polling system operates periodically to update user preference information, automatically retrieving updated media library contents and playback histories at scheduled intervals. This periodic action ensures that preference data remains current and accurate without requiring continuous or real-time user input, balancing the need for up-to-date information with efficient use of time and system resources.
3Adaptability or versatility
If media content is selected to appeal to diverse group preferences, then group satisfaction is improved, but the selection process becomes more complex
Solution Approach 1:
The system segments the media selection process by treating each user's preferences as separate, independently collected data sets. The polling module retrieves preferences from each user's mobile device individually, creating distinct preference profiles that can be processed separately. This segmentation allows the system to handle diverse group preferences by maintaining individual user characteristics while enabling aggregate analysis for group-level media selection decisions.
Solution Approach 2:
The patent introduces a central server as an intermediary between users' mobile devices and the media selection process. This intermediary receives polling data from multiple users, processes the aggregated preference information, and generates media selections that accommodate group preferences. The intermediary simplifies the overall system architecture by centralizing the complex analysis and selection logic, allowing individual devices to remain relatively simple while achieving sophisticated group-based media selection.
Data Source
AI summary
An identifier is received from each participant mobile device of a plurality of participant mobile devices within a participation region of a wireless network via a wireless access point. One or more attributes for each participant mobile device are retrieved based upon the identifier received from that participant mobile device. The one or more attributes indicate one or more media content items stored at that participant mobile device or previously accessed via that participant mobile device. An indication of the one or more attributes for each participant mobile device is output. Media content is selected based on the one or more attributes indicated for each participant mobile device. The media content is presented, for example, within the participation region.