View-selection feedback for visual experience
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Writers and story creators face challenges in creating engaging and popular stories due to unreliable and binary feedback from audiences, making it difficult to determine which aspects of a story are most engaging or problematic, especially in lengthy and complex narratives like novels and films.
Innovation Solution
The implementation of view-selection feedback techniques that allow users to interactively choose portions of a visual experience on mobile devices, enabling creators to analyze user preferences and adjust the narrative or visual elements in real-time, incorporating central story elements and contextual elements based on user interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional binary feedback methods (e.g., simple ratings or reviews) are used to evaluate stories, then the feedback collection process is simple and easy to implement, but the feedback quality is poor and unreliable for guiding story creation improvements
Solution Approach 1:
The patent implements a feedback mechanism where user view selections are continuously collected and analyzed to generate insights about story engagement. The system processes viewing data to identify patterns in user attention, then uses these insights to guide story creation improvements, creating a closed-loop feedback system that progressively enhances story quality based on actual user behavior rather than binary ratings
Solution Approach 2:
The patent introduces an intermediary layer (the view-selection analysis system) that translates raw user viewing behavior into meaningful feedback metrics. This intermediary processes complex viewing patterns and converts them into actionable insights about which story elements engage users, bridging the gap between simple view data and sophisticated story evaluation without requiring direct complex user input
2Loss of information
If detailed analysis of lengthy and complex narratives is performed to understand user engagement, then the insights gained are comprehensive and valuable, but the analysis process becomes daunting and difficult to assess
Solution Approach 1:
The patent segments the complex narrative into discrete viewable portions or elements that users can selectively view. By breaking down the story into manageable segments and tracking which segments users choose to view, the system makes analysis tractable while preserving comprehensive engagement data across all story elements
Solution Approach 2:
The patent replaces manual or complex computational analysis mechanisms with an automated system that tracks user view selections. Instead of requiring daunting manual analysis of viewing patterns, the system uses automated data collection and processing to measure engagement across complex narratives, significantly reducing analysis difficulty while maintaining comprehensive insights
3Ease of operation
If the entire visual experience is presented to users, then users receive complete story context, but users cannot focus on or explore specific elements of interest in detail
Solution Approach 1:
The patent implements a dynamic presentation system that adapts the visual experience based on user view selections. The system allows users to dynamically shift between viewing the complete story context and exploring specific elements in detail, adjusting the level of focus and detail based on user interest while maintaining access to overall story context when needed
4Measurement precision
If selective portions of the visual experience are presented based on user selection, then users can focus on elements of interest in detail, but users may miss broader story context
Solution Approach 1:
The patent adds a temporal or hierarchical dimension to story presentation, allowing users to navigate between different levels of detail and context. Users can explore specific elements in depth while the system maintains and provides access to the broader story context through alternative viewing options or contextual overlays, enabling precise preference measurement without permanent loss of context
Data Source
AI summary
Techniques and apparatuses for view-selection feedback for a visual experience are described. These techniques and apparatuses enable writers, directors, and other story creators to create or alter visual experiences based on feedback provided by view selections made during visual experiences. This feedback can be analyzed to determine portions of a visual experience that users focused on, wanted to see more of, were not interested in, found difficult to understand, and so forth. With this feedback, visual experiences, such as live-action movies and animated shorts, can be created or improved.