Dynamic Skip Options for Media Assets Based on User Interest
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Solution Overview
Problem
Existing content presentation systems fail to dynamically tailor the presentation of auxiliary content to user preferences, often interrupting desired content at inconvenient times and lacking flexibility in user control over scheduled actions, leading to user frustration.
Innovation Solution
A content presentation application that generates options to skip or delay current media assets based on user interest analysis, using monitored activity and user profiles to determine when to offer options to skip auxiliary content or delay scheduled actions, allowing users to control the timing of advertisements and transitions between media assets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If auxiliary content is presented to users prior to or during desired media content, then content providers can present advertisements and auxiliary content, but users experience frustration and dissatisfaction due to interruptions and lack of control
Solution Approach 1:
The system dynamically adjusts the presentation of auxiliary content based on user behavior in real-time. Skip options are conditionally presented based on monitored user activity patterns, such as whether the user is paying attention to the content or has indicated disinterest. This dynamic adaptation allows the system to maintain content delivery while respecting user control preferences.
Solution Approach 2:
The system monitors user activity during content presentation and uses this feedback to determine when to present skip options. By tracking user engagement metrics and behavior patterns, the system can intelligently decide whether to offer users the ability to skip auxiliary content, thereby balancing content delivery goals with user experience requirements.
2Ease of operation
If skip options are always presented to users during auxiliary content, then users have control to skip unwanted content, but users may inadvertently skip content they are actually enjoying
Solution Approach 1:
The system monitors user activity and engagement metrics to determine when skip options should be presented. By analyzing user behavior patterns such as attention level, interaction with content, and viewing habits, the system can accurately assess user intent and only present skip options when the user is genuinely uninterested in the auxiliary content, preventing inadvertent skips of enjoyable content.
3Extent of automation
If up-next functionality is triggered at the same point for all users, then the system can automatically transition to the next media asset, but the system fails to adapt to individual user viewing habits and preferences
Solution Approach 1:
The system dynamically determines when to trigger up-next functionality based on individual user viewing habits and preferences. Rather than using a fixed trigger point, the system adapts the timing and conditions for automatic content transition based on monitored user behavior patterns, making the automation flexible and personalized to each user's preferences.
Solution Approach 2:
The system learns from user viewing patterns and automatically adjusts its behavior to match individual preferences. By monitoring and analyzing user interactions with content, the system self-adapts the up-next functionality timing and conditions, eliminating the need for manual configuration while providing personalized service.
4Productivity
If users are forced to consume auxiliary content at exciting portions of desired content, then content providers can maintain ad delivery, but user frustration increases due to interruptions at critical moments
Solution Approach 1:
The system monitors user engagement and detects when users are experiencing exciting or critical portions of desired content. By analyzing real-time user behavior metrics, the system can identify moments when forcing auxiliary content would cause frustration and adjust ad delivery timing accordingly, presenting skip options or delaying auxiliary content to avoid interrupting critical viewing moments.
Data Source
AI summary
Systems and methods are described for managing presentation of content. A determination may be made, based on user information related to the current media asset, whether the presentation of the current media asset is not likely to be of interest to the user. In response to determining that the presentation of the current media asset is not likely to be of interest to the user, a selectable option may be presented to skip current content (e.g., advertisement content, or another currently presented media asset) and start presentation of a next media asset (e.g., a selected media asset, or a media asset similar to the current media asset).


