Adaptive TV Commercial Breaks via Viewer Feedback
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Solution Overview
Problem
Existing television advertising systems fail to effectively target commercials to individual viewers based on their preferences, leading to unwanted advertisements and lengthy commercial breaks, which can deter viewer engagement.
Innovation Solution
A system that allows viewers to select commercial categories and advertisers through an interface, with the option to provide ratings for incentives, resulting in personalized commercial breaks that are shorter in duration and content based on viewer feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional television advertising systems are used, then advertisers can reach viewers, but the commercials are not targeted to individual viewer preferences and commercial breaks are lengthy
Solution Approach 1:
The system displays a user interface during commercial breaks that solicits viewer feedback on the commercials just shown. Viewers can rate commercials or indicate interest in specific products. This feedback is then used to select and customize subsequent commercial breaks, creating a closed-loop system where viewer responses directly influence future advertising content and duration.
Solution Approach 2:
The commercial break structure is made dynamic and adaptive rather than static. The system adjusts commercial break duration and content based on real-time viewer feedback. If viewers show high interest in certain products or rate commercials positively, the system can extend or repeat relevant commercials. If feedback is negative or indifference is shown, the system shortens or skips commercial breaks, making the advertising experience flexible and responsive to viewer preferences.
2Adaptability or versatility
If targeted commercials based on viewer feedback are implemented, then viewer engagement improves, but the system complexity increases
Solution Approach 1:
The television system is enhanced with multiple functions integrated into a single platform: traditional broadcasting capability, user interface display during commercial breaks, feedback collection mechanism, feedback analysis processing, and adaptive commercial selection. This multi-functional approach allows the system to handle personalization without requiring entirely separate systems for each function, reducing overall complexity while achieving targeted advertising.
Solution Approach 2:
A feedback analysis component acts as an intermediary between viewer responses and commercial selection. This mediator processes raw viewer feedback (ratings, interest indicators), translates it into meaningful signals about viewer preferences, and uses these signals to guide commercial break composition. The intermediary layer simplifies the connection between diverse feedback inputs and the commercial delivery system, making the overall architecture more manageable.
3Ease of operation
If commercial breaks are shortened based on viewer feedback, then viewer satisfaction increases, but advertising revenue may decrease
Solution Approach 1:
The system changes parameters of commercial delivery based on feedback: it adjusts commercial break duration, selects specific commercials from available inventory, and modifies the mix of commercial types. By dynamically altering these parameters rather than simply reducing commercial volume, the system maintains or increases advertising effectiveness while improving viewer satisfaction. Relevant commercials are shown more frequently, while irrelevant ones are reduced or eliminated.
Solution Approach 2:
Rather than uniformly reducing all commercial breaks, the system applies local quality adjustments: it identifies which specific commercials or categories are valuable to individual viewers based on feedback and preserves or repeats those, while reducing or eliminating commercials that viewers disinterest in. This selective approach maintains advertising revenue from high-value content while shortening breaks for low-value content, optimizing both viewer experience and revenue.
Data Source
AI summary
Various arrangements for targeting advertising to a television viewer are presented. A user interface may be output for presentation that permits the television viewer to select from among a plurality of advertising options. One or more selections may be received from the television viewer from among the plurality of advertising options. A television program may be output for presentation to the television viewer. One or more commercials may be selected that match the one or more selections from among the plurality of advertising options. The one or more commercials that match the one or more selections from among the plurality of advertising options may be output for presentation during a first commercial break in the television program.