Haptic Interface for Digital Content Quality Evaluation
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Solution Overview
Problem
Current systems lack effective methods to evaluate the quality of automatically composed digital content, particularly in virtual reality environments, where user feedback is crucial but not adequately utilized to refine content generation.
Innovation Solution
A system and method that utilize a haptic interface to collect intentional and non-intentional user feedback, processing this data to evaluate the quality of digital content and adjust composition rules dynamically, ensuring improved content relevance and user engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If user feedback is collected through traditional interfaces (e.g., buttons, sliders), then the feedback collection mechanism is simple and easy to implement, but the feedback data lacks depth and cannot capture genuine user reactions effectively
Solution Approach 1:
The patent introduces a haptic interface as an intermediary between the user and the digital content evaluation system. This mediator captures subtle physiological responses (skin conductance, muscle tension, heart rate) that naturally occur during user interaction, translating these involuntary reactions into meaningful feedback data without requiring complex user input mechanisms
Solution Approach 2:
The patent replaces traditional mechanical feedback collection methods (buttons, sliders, surveys) with a physiological sensing system. Instead of relying on deliberate user actions through mechanical interfaces, the system substitutes these with sensors that detect biological signals, thereby capturing more authentic and nuanced user reactions
2Productivity
If automatic content generation uses fixed composition rules, then the content generation process is efficient and consistent, but the content quality cannot be continuously improved based on user preferences
Solution Approach 1:
The patent implements a closed-loop feedback system where haptic interface data from user interactions with generated content is continuously collected and analyzed. This feedback is then used to dynamically adjust the composition rules, allowing the system to learn from user reactions and progressively improve content quality while maintaining efficient automated generation
Solution Approach 2:
The patent transforms static, fixed composition rules into dynamic, adaptive rules that can change in real-time based on accumulated feedback data. The system evolves its content generation parameters dynamically, adjusting weights, priorities, and selection criteria according to observed user preferences and reactions
3Measurement precision
If comprehensive user feedback is collected through multiple channels, then the evaluation accuracy is improved, but the data processing complexity and time consumption increase significantly
Solution Approach 1:
The patent performs preliminary processing and filtering of haptic interface data at the point of collection, preprocessing signals to remove noise and extract relevant features before storage. This preliminary action reduces the complexity of subsequent analysis and accelerates the overall evaluation process while maintaining comprehensive data collection
Data Source
AI summary
Systems and methods are provided for evaluating the quality of automatically composed digital content based on intentional user feedback obtained through a haptic interface. For example, a method includes accessing intentional user feedback collected by a haptic interface executing on a computing device, wherein the intentional user feedback provides an indication as to a user's reaction toward digital content that the user interacts with on the computing device. The digital content includes content that is automatically generated using content generation rules. The method further includes evaluating a quality of the digital content based on the intentional user feedback, and generating an evaluation report that includes information providing an evaluation of the quality of the digital content.