Interactive Content Commenting in Branched Scenarios
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Solution Overview
Problem
Interactive content commenting is challenging due to the difficulty in specifying a comment target in a branched scenario, where different storylines are developed based on viewer input, making it hard for authors to accurately grasp the intent of comments.
Innovation Solution
A method and system that allow reviewers to easily add comments by selecting a comment target trigger and determining a comment target object based on touch inputs, with a content reproduction apparatus reproducing interactive content according to branched scenarios, and an interworking server generating a comment scenario using trigger logs and content data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a comment is added to a specific point in time on the timeline for general content, then the comment target can be clearly specified, but this method cannot be applied to interactive content with branched scenarios
Solution Approach 1:
The patent segments the interactive content into discrete triggers and responses, allowing comments to be attached to specific trigger-response units rather than continuous timeline points. This segmentation enables precise comment targeting in branched scenarios by identifying the specific trigger that led to the current state and the response being displayed.
Solution Approach 2:
The patent introduces a new dimension for comment targeting by moving from temporal positioning (timeline points) to contextual positioning (trigger-response pairs). This dimensional shift allows comments to be accurately associated with specific interactive content states regardless of when they occur in the branched narrative.
2Measurement precision
If the author reviews all triggers and responses to find the comment target, then the comment intent can be accurately grasped, but this increases the time and complexity of comment processing
Solution Approach 1:
The system provides feedback to the author by automatically identifying and presenting the specific trigger and response associated with each comment. This feedback mechanism eliminates the need for authors to manually search through all triggers and responses, as the system directly supplies the relevant contextual information needed to understand comment intent.
Solution Approach 2:
The patent implements self-service by enabling the system to automatically perform the task of identifying comment targets and presenting relevant context to authors. This automation eliminates manual searching and reduces processing time while maintaining accurate comprehension of comment intent.
3Loss of information
If all triggers and responses are displayed to the author, then complete information is provided for understanding comments, but this increases device complexity and information overload
Solution Approach 1:
The patent extracts only the essential information needed for comment review—the specific trigger and response associated with the comment—separating it from the complete set of all triggers and responses. This extraction provides authors with the necessary contextual information without overwhelming them with irrelevant data or increasing system complexity.
Solution Approach 2:
The system applies local quality by providing detailed information only where needed (at the specific comment location) rather than uniformly displaying all information. This approach maintains information completeness for each specific comment while avoiding the complexity and information overload that would result from displaying all triggers and responses simultaneously.
Data Source
AI summary
Disclosed are methods and apparatus for commenting on interactive content. One of the methods includes reproducing the interactive content in accordance with a branched scenario including a plurality of branches, each of which is matched to a trigger, receiving a touch input for inputting a comment on the interactive content, selecting a comment target trigger from the triggers, matching the comment to the selected comment target trigger, determining a comment target object, which is an object located closest to a touch point at the time when the touch input is made among candidate objects related to the comment target trigger, the candidate objects comprise objects of a response being reproduced at the time when the touch input is made, among all responses of the comment target trigger; and transmitting comment information comprising information of the comment target trigger, a trigger log and content data of the comment.