Audience Query Content Supplementation via Speech Recognition
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Solution Overview
Problem
Existing advertisement systems fail to effectively engage passive media consumers, as they lack interactive mechanisms for audiences to easily access additional information about advertised products, leading to reduced persuasion and engagement.
Innovation Solution
A content supplementation system that listens to audience queries during media consumption and provides relevant information via a network of devices, using speech recognition and metadata analysis to identify content elements and deliver supplemental information, making product placement an interactive experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If advertisements provide avenues for audiences to learn more through hyperlinks on websites, then information accessibility is improved, but ease of operation deteriorates for passive media consumers
Solution Approach 1:
The system enables passive media consumers to autonomously obtain information by simply speaking their questions during media playback. The speech recognition system automatically captures audience queries and retrieves relevant information without requiring manual navigation or active engagement with hyperlinks, thus maintaining information accessibility while dramatically improving ease of operation for passive consumers.
Solution Approach 2:
The patent replaces the mechanical interaction required for traditional hyperlink navigation (clicking, typing, browsing) with a voice-based interface. Audience members can ask questions naturally during media consumption, and the system automatically processes speech input, retrieves information, and delivers results, substituting complex manual operations with simple spoken commands.
2Device complexity
If advertisements follow traditional passive delivery methods, then device complexity is reduced, but audience engagement deteriorates
Solution Approach 1:
The system transforms static, passive advertisements into dynamic, interactive experiences. During media playback, the system continuously monitors for audience speech input, dynamically adjusts by retrieving relevant information based on real-time queries, and delivers customized responses. This dynamic adaptation maintains relatively simple device architecture while dramatically improving audience engagement through interactivity.
3Loss of information
If advertisements require active consumer participation to access information, then information relevance is improved, but productivity deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-processing media content to identify content elements and their associated information during the media playback itself. When audience members speak questions, the system can quickly retrieve pre-identified relevant information rather than requiring active searching or navigation, thus maintaining high information relevance while dramatically improving productivity by eliminating manual information-seeking processes.
Data Source
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AI summary
A system and method are described for delivering to a member of an audience supplemental information related to presented media content. Media content is associated with media metadata that identifies active content elements in the media content and supported intents associated with those content elements. A member of an audience may submit input related to an active content element. The audience input is compared to media metadata to determine whether supplemental information can be identified that would be appropriate to deliver to the audience member based on that person's input, in some implementations, audience input includes audio data of an audience's spoken input regarding the media content.