Smart Media Selection Based on Viewer Presence
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Solution Overview
Problem
Current television program distribution systems require manual user selection of media content, lacking the ability to automatically adapt to changes in viewer presence, which can lead to inappropriate content being displayed for individuals in the same viewing location.
Innovation Solution
A system and method that detects viewer presence changes, utilizes user profiles and histories to generate a smart media playlist, automatically adjusting the content displayed to ensure suitability for all individuals present, by integrating presence detection, user identity, and recommendation modules within a network architecture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual user selection of media content is required, then user control over content is maintained, but user convenience and system automation are reduced
Solution Approach 1:
The system automatically detects viewer presence and selects appropriate media content without requiring manual user input. The presence detection module continuously monitors the viewing location, and the media selection module autonomously chooses content based on detected viewers and their profiles, enabling the system to serve itself rather than requiring constant user intervention.
Solution Approach 2:
User profiles and media preferences are pre-configured in the system database before viewing sessions begin. When viewers are detected, the system quickly retrieves pre-stored profile information and generates appropriate media playlists in advance, rather than requiring real-time manual selection or complex processing during the viewing session.
2Productivity
If manual content selection is required for each program change, then content suitability can be controlled, but time efficiency and productivity are reduced
Solution Approach 1:
The media playback system automatically monitors viewer presence and independently selects and switches media content based on detected viewers and their stored profiles. This eliminates the need for users to manually search, select, and change programs, significantly reducing the time required for content switching while maintaining appropriate content selection.
Solution Approach 2:
The presence detection module continuously provides feedback about who is viewing, and the media selection module uses this feedback to automatically adjust playback content. This closed-loop system ensures content remains suitable for current viewers without requiring manual intervention for each change.
3Adaptability or versatility
If presence detection and automated media selection is implemented, then user experience and content suitability are improved, but device complexity increases
Solution Approach 1:
The system is divided into distinct functional modules: a presence detection module that identifies viewers, a user profile module that stores preferences, and a media selection module that chooses content. Each module performs a specific function, making the overall complex system manageable through modular design where each segment can be developed and maintained independently.
Solution Approach 2:
User profiles serve as an intermediary layer between presence detection and media selection. Rather than directly complexly linking detector to player, the system uses pre-stored profile information as a mediator that translates detected viewer identity into appropriate media choices, simplifying the decision-making process.
4Extent of automation
If automated smart media playlist generation is used, then manual intervention is reduced, but computing resource usage may increase
Solution Approach 1:
User profiles, media preferences, and viewing histories are pre-processed and stored in the system database before actual viewing sessions. When viewers are detected, the system performs simple lookups and matching operations against pre-configured data rather than conducting complex real-time analysis, significantly reducing computing resource requirements during automated operation.
Data Source
AI summary
In various exemplary embodiments, a system and method to provide smart media selection to a set of one or more individuals at a location associated with a display device of a receiver system is provided. In example embodiments, an indication of a presence change at the location is received. User specific information associated with the set of the one or more individuals identified as being at the location is accessed. A recommendation playlist based on the user specific information is generated.