Content Priority Generation via User Attention Analysis
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Solution Overview
Problem
Existing technologies face challenges in setting priorities for content viewing, particularly for non-sports broadcasts, as they rely on audio cheers to estimate user interest, which are not applicable to content types like news, limiting their ability to prioritize parts of content effectively.
Innovation Solution
An information processing apparatus and method that generates and transmits degree-of-attention information based on user viewing behavior, allowing for the calculation and transmission of priority information for each part of content, enabling the extraction of high-priority segments for digest content creation, applicable to a wide range of content types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If priority setting is based on audio cheers, then climax parts can be identified for sports broadcasts, but the method cannot be applied to non-sports content like news
Solution Approach 1:
The patent changes the parameter for detecting user interest from audio-based (cheers) to visual-based (gaze direction, head movement). This parameter change enables the system to work across multiple content types including sports, news, and documentaries, resolving the limitation of audio-dependent methods while maintaining reliable priority detection through alternative visual metrics
2Loss of time
If users view content from start in proper order, then content is viewed logically, but users may miss high-interest parts and waste time
Solution Approach 1:
The patent segments content into multiple parts based on detected user interest levels. By dividing content into high-interest and low-interest segments, the system enables users to quickly access important portions without requiring sequential viewing, thus reducing time loss while maintaining logical content structure through proper segmentation
Solution Approach 2:
The system performs preliminary detection of user interest patterns during initial content viewing and uses this information to pre-identify high-priority segments. This preliminary action allows the system to prepare and present prioritized content recommendations before users need to watch, enabling time-efficient viewing while maintaining content logic
Data Source
AI summary
Provided is an information processing apparatus including a communication unit for receiving, from an external device, degree-of-attention information including information on a degree of attention, for each part of first content, calculated based on a state of viewing of a user, and a priority information generation unit for generating, using the degree-of-attention information, priority information including information on a priority for viewing for each part of second content. The communication unit transmits the priority information to the external device.