Linked Advertisements Using Reaction Detection
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Solution Overview
Problem
Existing advertising technologies fail to effectively show advertisements at optimal times and locations based on audience reactions, leading to inefficiencies in engaging viewers with targeted ads.
Innovation Solution
The generation of linked advertisements, where a preliminary advertisement is shown on one device and subsequent advertisements are displayed on another, such as a mobile device, only after detecting a positive reaction, with presentation triggers considering time, location, and user activity, using explicit or implicit user reactions like facial expressions and biometric data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If advertisements are shown based on anticipated audience demographics and interests, then advertisements can be targeted to relevant audiences, but advertisements are shown regardless of whether it is a good time for the audience member to act in response
Solution Approach 1:
The system performs preliminary actions by showing a first advertisement and detecting audience reaction before proceeding to show a second advertisement. This preliminary detection of audience receptiveness ensures that subsequent advertising actions are timed optimally, resolving the contradiction between targeted delivery and timing efficiency.
Solution Approach 2:
The system incorporates feedback mechanisms by detecting audience reactions (explicit gestures or implicit biometric data) to the first advertisement and using this feedback to determine whether to show the second advertisement. This feedback loop enables dynamic adaptation of advertising timing based on real-time audience state, improving both targeting accuracy and timing efficiency.
2Productivity
If subsequent advertisements are shown only upon detecting a positive reaction to the preliminary advertisement, then advertising effectiveness is improved, but system complexity increases due to reaction detection and analysis requirements
Solution Approach 1:
The system employs self-service mechanisms by using the audience's own biological responses (facial expressions, biometric data) as the detection mechanism. The audience inadvertently provides the detection data through their natural reactions, eliminating the need for complex external detection equipment and reducing system complexity while maintaining high advertising effectiveness.
Solution Approach 2:
The patent uses an intermediary approach by introducing a reaction detection component that bridges the advertisement delivery system and the audience response. This intermediary can process simple signals (explicit gestures) or biometric data, providing a standardized interface that manages complexity while enabling effective audience response measurement.
3Adaptability or versatility
If multiple devices are used to show preliminary and subsequent advertisements, then contextual relevance is enhanced through location and activity data, but device coordination complexity increases
Solution Approach 1:
The system applies universality by using a single audience identification (such as a user profile or device identifier) that works across multiple devices. This universal identifier enables seamless coordination between the first device showing the preliminary advertisement and the second device showing the subsequent advertisement, reducing coordination complexity while maintaining contextual relevance through location and activity data.
Data Source
AI summary
Embodiments of the present invention generate linked advertisements. Linked advertisements may include a preliminary advertisement and one or more subsequent advertisements. In one embodiment, the viewer is only shown the subsequent advertisement upon detecting a positive reaction to the preliminary advertisement. The subsequent advertisement is associated with presentation triggers that specify a context in which the subsequent advertisement should be presented. The context may be defined by a time of day, location, user activity, and/or other parameters. For example, the presentation trigger may specify a context in which the user is able to purchase an advertised good or service. For example, the context could be the user driving (activity context) near a coffee shop (location context) in the morning (time context). The reaction to the preliminary advertisement may be explicit or implicit.