VOD Service Prompting via Content Selection Detection
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Solution Overview
Problem
Users tend to repeatedly access the same video-on-demand (VOD) services without exploring alternative services, missing out on diverse content and features offered by other providers.
Innovation Solution
A technical mechanism that prompts users to approve the presentation of content from underutilized VOD services by detecting content-selection modes and using automatic content recognition to suggest relevant content based on user preferences, thereby incentivizing the use of different VOD services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users repeatedly access the same VOD services, then user familiarity and ease of use are improved, but service diversity and content variety deteriorate
Solution Approach 1:
The system performs preliminary analysis of user viewing habits and content preferences before the user makes a selection. It pre-identifies underutilized VOD services that match user preferences and prepares targeted prompts in advance, presenting them at the optimal moment when users are browsing content selections.
Solution Approach 2:
The system continuously monitors and analyzes user viewing patterns, content selections, and service usage metrics. This feedback loop enables the system to dynamically adjust prompt timing, content recommendations, and service suggestions based on real-time user behavior, optimizing the balance between user comfort and service exploration.
2Adaptability or versatility
If users are presented with multiple VOD service options, then service diversity is improved, but user decision complexity and time consumption increase
Solution Approach 1:
Instead of presenting all available VOD services uniformly, the system applies local quality by tailoring prompts to specific underutilized services that match individual user preferences and viewing habits. Each prompt is customized with relevant content suggestions from that specific service, making the diversity presentation targeted rather than overwhelming.
Solution Approach 2:
The system dynamically changes parameters such as prompt timing, content type recommendations, and service selection criteria based on analyzed user preferences. By adjusting these parameters according to user behavior patterns, the system reduces decision complexity while maintaining service diversity exposure.
3Productivity
If the system prompts users to try new VOD services, then service utilization is improved, but user interruption and attention demand increase
Solution Approach 1:
The system analyzes user viewing patterns and identifies optimal timing for prompts before users make content selections. By preparing and presenting prompts at these predetermined optimal moments, the system minimizes interruptions while maximizing the likelihood that users will consider trying underutilized services.
Solution Approach 2:
Instead of continuously prompting users or presenting all available services, the system applies partial action by selecting only specific underutilized services that best match user preferences for prompt presentation. This selective approach reduces interruption frequency while maintaining effective service utilization promotion.
Data Source
AI summary
A computing system detects that a media presentation device such as a television is in a content-selection mode in which a user is likely to select video content to be presented by the media presentation device, at a time when the media presentation device is not using a video-on-demand service. In response, the computing system causes the media presentation device to present a prompt for user approval to have the media presentation device present video content of the video-on-demand service. By presenting this prompt at a time when the media presentation device is in a content-selection mode and is not using the video-on-demand service, the disclosed mechanism can thereby help foster use of the video-on-demand service.