Game Video Comment Selection by Viewer Attributes
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Solution Overview
Problem
Existing video distribution systems fail to effectively capture viewer attention and interest through comments associated with game events, leading to potential loss of viewer engagement.
Innovation Solution
A video distribution apparatus that acquires viewer attribute information, selects relevant comment information based on this data, and outputs comments alongside the video to enhance viewer engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If comments are mechanically associated with game video scenes, then comment output functionality is achieved, but viewer interest and attention are not effectively aroused
Solution Approach 1:
The system changes the parameter of comment selection from random or fixed association to dynamic selection based on viewer attributes. By introducing viewer attribute information (skill level, play style, preferences) as a variable parameter, the system selects comments that are most likely to resonate with each specific viewer, thereby transforming generic comment output into personalized engagement that effectively arouses viewer interest
Solution Approach 2:
The system implements a feedback mechanism where viewer attribute information is continuously acquired and used to adjust comment selection. By monitoring viewer characteristics and feeding this information back into the comment selection process, the system adapts to individual viewer preferences and behaviors, creating a closed-loop system that optimizes engagement rather than using static mechanical association
2Device complexity
If generic comments are outputted to all viewers, then system complexity is reduced, but viewer-specific engagement is lost
Solution Approach 1:
The system performs preliminary action by acquiring and storing viewer attribute information before the comment output process. By pre-collecting data about viewer skills, play styles, and preferences, the system prepares personalized comment profiles in advance, enabling adaptive comment selection without adding complexity during the actual video playback and comment delivery phase
Solution Approach 2:
The system introduces viewer attribute information as an intermediary element between the generic comment database and the individual viewer. This intermediary layer translates general comment content into personalized recommendations by matching comments with relevant viewer attributes, thereby enabling viewer-specific engagement without requiring a completely complex personalized generation system
Data Source
AI summary
A comment that can easily arouse viewer's interest and attention to a game video can be outputted. An attribute information acquisition section acquires viewer attribute information which indicates an attribute of a viewer who has made access to a video distribution apparatus. A comment information selection section selects at least one of a plurality of comment information items associated with a predetermined scene included in a video, on the basis of the viewer attribute information. A comment output section outputs a comment that is based on the selected comment information, together with the predetermined scene included in the video.