Task Cue System for Context-Aware Advertising Targeting
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Solution Overview
Problem
Computer and Internet-based advertising faces challenges in accurately targeting users due to rapidly changing interests and the tendency for viewers to ignore advertisements, as existing systems fail to effectively attract users' attention and align advertisements with their immediate interests.
Innovation Solution
A system that analyzes a user's field of vision to determine their current interests and presents visual and audio stimuli, generating task cues that are relevant and rewarding, allowing users to engage with advertisements in a way that aligns with their current activities and interests, thereby increasing the likelihood of purchase.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional Internet advertising methods are used to target consumers, then advertisers can collect preferences and viewing histories to improve targeting accuracy, but only a small group of people respond to or view the advertisements
Solution Approach 1:
The system performs preliminary analysis of the user's field of vision and current interests before presenting advertisements. By determining what the user is currently looking at and inferring immediate interests from visual context, the system prepares and delivers ads that are relevant to the user's current activity, thereby increasing the likelihood of engagement and response.
2Quantity of substance
If advertisements are presented based on demographic targeting, then advertisers can reach potential customers in specific groups, but users tend to ignore advertisements because they are not relevant to their immediate interests
Solution Approach 1:
The system transitions from broad demographic targeting to localized interest-based targeting by analyzing the specific content in the user's field of vision. By determining immediate interests based on what the user is currently viewing (e.g., a news article, product page, or video), the system delivers advertisements that are locally relevant to the user's current context, thereby increasing engagement while maintaining broad reach across different demographic groups.
3Area of stationary object
If users are bombarded with extraneous information in the form of pop-up or banner ads, then advertisers can increase visibility, but users learn to ignore advertisements and their visual focus is not attracted to those areas
Solution Approach 1:
The system dynamically adapts advertisement presentation based on real-time analysis of the user's field of vision and current interests. Rather than using static banner ads or pop-ups that users have learned to ignore, the system adjusts the timing, content, and placement of advertisements to match the user's current viewing context, making them more likely to capture attention and drive engagement.
4Illumination intensity
If advertisers use Flashing or moving images designed to grab attention, then they can increase visibility, but users still tend to ignore advertisements because they assume most ads are not interesting or relevant
Solution Approach 1:
The system changes the fundamental parameter of advertisement relevance from static demographic matching to dynamic context-based matching. By analyzing the user's current field of vision and inferring immediate interests, the system delivers advertisements with high contextual relevance, making them inherently more interesting and worthwhile to view without relying on flashy visual effects to capture attention.
Data Source
AI summary
A computing system for encouraging the performance of a task comprises association data, a proxy module, a display module, and a reward module. The association data associates tags with stimuli related to performing tasks. The proxy module is configured to receive encoded data, to identify tags in the encoded data that have associated stimuli in the association data, and to generate modified encoded data that includes data representative of at least one of the stimuli. The display module is configured to receive the modified encoded data, to display information based at least in part on the modified encoded data, and to provide at least one mechanism for a user to perform a task related to at least one of the stimuli. The reward module is configured to reward a user for performing tasks related to the stimuli.