Image Organization by Perceived Interest Duration
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Solution Overview
Problem
Existing image organization methods on computing devices, such as grouping by geographic location or facial recognition, often inaccurately capture a user's subjective interest, leading to cluttered displays and wasted time searching for desired images.
Innovation Solution
A method where a controller assigns a perceived interest to images based on the duration they are visible on the display, allowing users to easily find frequently viewed images and discard infrequently viewed ones, by transferring them to different viewing locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If images are organized by geographic location or facial recognition, then images can be automatically grouped, but the organization does not accurately capture user's subjective interest leading to cluttered displays
Solution Approach 1:
The system uses user interaction feedback (search events, selection behavior, viewing duration) to continuously refine and update the perceived interest scores of images. This feedback mechanism allows the automated organization to progressively align with actual user preferences, resolving the contradiction between automation and accuracy.
Solution Approach 2:
The system enables images to self-organize based on their own perceived interest scores derived from user interaction patterns. Images automatically position themselves in the display hierarchy according to their scores, eliminating the need for manual user intervention while achieving accurate reflection of user interest.
2Device complexity
If all images are displayed in a single location, then the display is simple to maintain, but users spend excessive time searching for desired images
Solution Approach 1:
The display is segmented into multiple regions or positions based on perceived interest scores. High-interest images are placed in prominent positions while lower-interest images are placed in less prominent positions. This segmentation reduces search time while maintaining a relatively simple overall display structure.
Solution Approach 2:
The system adds a dimensional aspect to image organization by introducing perceived interest score as a new organizing dimension beyond traditional spatial arrangement. Images are positioned not just by location but by their interest score value, creating a multi-dimensional organization system that reduces search time without significantly increasing display complexity.
3Productivity
If frequently viewed images are made easily accessible, then user productivity improves, but the system requires continuous monitoring and reorganization of images
Solution Approach 1:
The system automatically calculates perceived interest scores based on user interaction data and reorganizes images without requiring manual intervention. This self-service mechanism maintains high image access efficiency while avoiding the need for complex manual reorganization processes.
Solution Approach 2:
The system uses perceived interest score as a dynamic parameter that automatically changes based on user interaction patterns. As user behavior evolves, the scores are updated and images are repositioned accordingly. This parameter-based approach simplifies the organization system compared to rule-based manual reorganization while maintaining high productivity.
Data Source
AI summary
Methods, apparatuses, and non-transitory machine-readable media for image location based on a perceived interest are described. Apparatuses can include a display, a memory device, and a controller. In an example, the controller can assign a perceived interest and sort images based in part on the perceived interest. In another example, a method can include the assigning, by a controller coupled to a memory device, a perceived interest of an image of a plurality of images, wherein the perceived interest is assigned based in part on a period of time the image is visible on a display coupled to the memory device, selecting the image from an initial viewing location responsive to the assigned perceived interest; and transferring the image to a different viewing location, wherein the initial viewing location and the different viewing location are visible on the display.