Predictive Media Player Using Gesture-Based Rejection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Portable media players lack the ability to automatically select media files based on user preferences, activities, schedules, locations, and physiological states, relying on manual selections or pre-established playlists that do not account for variable user preferences.
Innovation Solution
A predictive mechanism that uses accumulated data on user rejections and deferrals correlated with chronographic and sensor information to select media files, along with a simplified user interface for accepting, rejecting, or deferring automatically selected media files, such as push-button or head nod gestures, to enhance media file matching with user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual selection or pre-established playlists are used, then user control over media selection is maintained, but the system cannot adapt to variable user preferences based on mood, activity, location, and other dynamic factors
Solution Approach 1:
The system automatically selects media files based on sensor data and user behavior patterns without requiring manual input. The predictive mechanism analyzes accumulated data about user rejections and deferrals correlated with chronographic and sensor information to autonomously make media selections that adapt to varying user preferences throughout the day
Solution Approach 2:
The system incorporates user feedback through simplified rejection and deferral mechanisms. When users reject or defer automatically selected media files, this feedback is recorded and used to refine future selections. The system learns from user responses to improve the accuracy of predictive media selection over time
2Adaptability or versatility
If a predictive mechanism automatically selects media files, then adaptation to user preferences improves, but the system complexity increases due to data accumulation and processing requirements
Solution Approach 1:
The patent extracts only the essential data elements needed for prediction: user rejection/deferral decisions correlated with chronographic information and sensor data. By focusing on these key variables rather than processing all possible user data, the system achieves effective predictive capability while managing computational complexity
Solution Approach 2:
The system accumulates and processes user preference data in advance to build predictive models before actual media selection is needed. By pre-processing sensor information and user behavior patterns, the system prepares prediction algorithms that can quickly select appropriate media files when needed, reducing real-time processing demands
3Productivity
If traditional user interfaces are used for rejecting media files, then user control is maintained, but the interaction becomes cumbersome and reduces productivity
Solution Approach 1:
The user interface is segmented into distinct, simple functions: accept, reject, and defer. Each function is assigned to specific, easily accessible buttons or gestures, allowing users to quickly communicate their preferences without navigating complex menus or performing multiple steps
Solution Approach 2:
The system replaces traditional mechanical button presses with gesture-based controls including head nods and other body movements. This substitution allows users to interact with the media player more naturally and efficiently, particularly when hands are occupied or the user is moving
Data Source
AI summary
System, method and computer program product for rejecting or deferring the playing of a media file retrieved by an automated process. Rejection or deferral of an automatically playing media file is accomplished by a simplified user interface which presumes that a currently playing media file is acceptable unless the user signals the media player within a given timeframe. Signaling of the media player is accomplished using one or more sensors. The sensors include but are not limited to a motion sensor, an inclination sensor, a gesture sensor, a video sensor, a push-button switch and any combination thereof. The rejection or deferral of a media file by the user results in that file not being automatically selected again by the automated processes for at least a predetermined amount of time. The rejection or deferral of a media file by the user may also result in updating a record in a memory that is used by the predictive program to select media files in the future and thereby enable the predictive program to automatically select media files in the future that are more likely to match a users media file preferences at that time.