Gesture-Based Content Filtering on Mobile Devices
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Solution Overview
Problem
Existing methods for filtering content on mobile devices require users to navigate complex menus to set preferences, which is time-consuming and cumbersome, especially for unsolicited content like advertisements.
Innovation Solution
A gesture-based preferencing system that allows users to indicate preferences through motions detected by sensors, which are then stored and used to filter content, minimizing user interaction and enhancing preference management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If menu-driven settings are used for content filtering, then content preferences can be determined, but user involvement becomes excessive and operation becomes cumbersome
Solution Approach 1:
The patent replaces manual menu navigation (mechanical interaction) with automatic gesture recognition and analysis. Motion sensors detect user gestures, and software algorithms automatically interpret these gestures to determine content preferences, eliminating the need for users to manually navigate through multiple menu screens while maintaining accurate preference capture
Solution Approach 2:
The system enables users to set content preferences through intuitive gestures that the device automatically processes. The gesture recognition system and preference analysis algorithm work autonomously to convert simple user motions into filtered content delivery, allowing users to service their own preference settings without external assistance or complex procedures
2Reliability
If detailed menu navigation is required for preference setting, then filtering criteria can be established, but time consumption increases
Solution Approach 1:
The system performs preliminary gesture-based preference capture during natural content consumption moments, rather than requiring dedicated setup time. Users can indicate preferences through gestures while browsing or receiving content, and the system preemptively processes these gestures to configure filtering criteria, eliminating the need for separate preference-setting sessions
Solution Approach 2:
The patent substitutes time-consuming manual menu navigation with rapid gesture recognition and automated preference analysis. Motion sensors instantly detect gestures, and software algorithms quickly interpret them to establish filtering criteria, reducing the time required to set preferences from minutes of menu navigation to seconds of natural gesture input
Data Source
AI summary
In order to provide filtering of content to be presented on a mobile device, a gesture-based preferencing system and method may be employed. When content is presented to a user, the user may indicate a positive or negative preference toward that content by making a gesture. The gesture may be detected by a motion sensor and the preference of the content indicated by the gesture may be stored in a preference datastore. The preference may be used to subsequently filter content that is to be presented to the user.


