Touch Interface Filter Reordering for Media Libraries
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Solution Overview
Problem
Current media production applications are limited in their ability to facilitate effective filtering and sorting of large numbers of media samples, making it difficult for users to interact with interface elements and manage results, especially when using traditional cursor controls or touchpads.
Innovation Solution
A system that utilizes a touch interface to display a list of content and filters, reordering filters based on user input and historical usage to provide a more manageable list of matches, allowing for filtering and sorting of media samples through touch inputs such as tapping, swiping, and hovering, and displaying sub-filters with visual indications to enhance user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional cursor control with mouse or touchpad is used to interact with interface elements, then the application can perform basic filtering and sorting functions, but the user's ability to interact with interface elements is limited and the process becomes inefficient
Solution Approach 1:
The patent replaces traditional mechanical cursor control (mouse/touchpad) with direct touch interface interactions. Users can directly touch, tap, swipe, and manipulate interface elements on the touchscreen display, eliminating the need for indirect cursor-based control and significantly improving both ease of operation and filtering efficiency
Solution Approach 2:
The interface elements are designed to be directly manipulable through touch gestures, allowing users to interact with filters and media samples through intuitive touch actions rather than requiring complex cursor navigation and selection procedures
2Adaptability or versatility
If all available filters are displayed in the filter bar, then users have access to complete filtering functionality, but the interface becomes cluttered and difficult to navigate
Solution Approach 1:
The patent segments the filter interface into multiple organized categories (e.g., instrument type, genre, tempo, key). Filters are grouped into logical sections, allowing users to access comprehensive filtering functionality through an organized, hierarchical structure rather than presenting all filters in a single overwhelming list
Solution Approach 2:
The interface uses multiple dimensions of organization including categorical grouping, alphabetical sorting within categories, and visual hierarchy through icons and text labels. This multi-dimensional arrangement allows users to navigate the extensive filter set systematically without feeling overwhelmed by the total number of options
3Quantity of substance
If a large number of media samples are displayed in the list, then users have access to complete content, but it becomes difficult to manage and find relevant matches
Solution Approach 1:
The system automatically applies sorting and filtering operations before displaying media samples to users. Default sorting by relevance, date, or other criteria is applied in advance, and filters are pre-configured based on user preferences or context, reducing the cognitive load required to manage large media libraries
Solution Approach 2:
The interface provides real-time feedback as users interact with filters and media samples. The system dynamically updates the displayed list based on selected filters, shows the number of matching items, and adjusts filter availability based on current selection state, helping users efficiently navigate and manage large quantities of media content
Data Source
AI summary
A system reorders filters in a set of the filters that may be used to update a list of content. In response to receiving user input selecting a particular filter, the system may filter and/or reorder the content in the list of content and reorder the remaining un-selected filters. Filters that would result in a more even split of the content may be ranked higher than filters that would result in a less even split of that content. A filter that would result in selection of half of the content would be ranked higher than another filter that would result in selection of one-fourth or three-fourth of the content. The system may rank filters based on a user's historical usage. The system may apply a variety of factors to select an order for the filters by, for example, using a weighted average of scores that correspond respectively to the factors.