Caller Image Selection for Mobile Devices
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Solution Overview
Problem
Current technologies lack the ability to dynamically and contextually select and display images of a caller during an incoming call, failing to provide a personalized and location-specific experience.
Innovation Solution
The method involves identifying a caller, locating and filtering images based on geo-location, recent events, and other criteria, and randomly selecting images with higher confidence levels for display on a mobile device, potentially including video clips, to provide a dynamic and personalized experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single static image is displayed for an incoming call, then the device complexity is low, but the personalization and user engagement are insufficient
Solution Approach 1:
The patent implements dynamic image selection by randomly choosing from multiple images associated with the caller, rather than displaying a single static image. This dynamic approach allows the display to adapt and change based on random selection, enhancing personalization and user engagement while managing system complexity through efficient random selection algorithms.
Solution Approach 2:
The patent pre-associates multiple images with caller identifiers in the database before the actual call occurs. This preliminary action allows the system to have a ready pool of images prepared in advance, enabling quick random selection during the call without requiring complex real-time image processing or selection logic.
2Productivity
If multiple images are stored and selected randomly, then user engagement is enhanced, but the image selection process becomes more complex
Solution Approach 1:
The system automatically manages the image pool by associating images with caller identifiers and handling the random selection process without user intervention. The device self-services by maintaining the image database, performing random selections, and displaying appropriate images, thereby enhancing user engagement while keeping the management process transparent and simple for the end user.
Solution Approach 2:
The patent extracts the image management complexity from the user interface by handling all image selection, storage, and retrieval operations internally within the device. Users simply interact with the normal call interface, while the complex image management system operates in the background, separating the complexity from the user experience.
3Adaptability or versatility
If images are filtered by geo-location and events, then the personalization is improved, but the processing time increases
Solution Approach 1:
The system pre-filters and organizes images by geo-location and events during the image association phase, before actual call processing. This preliminary organization allows the system to quickly retrieve contextually relevant images during calls without performing complex filtering operations in real-time, thereby reducing processing time while maintaining high contextual personalization.
Solution Approach 2:
The patent applies different filtering criteria (geo-location, events) selectively based on the specific call context and available data. Rather than applying all filters uniformly to all images, the system intelligently applies relevant filters based on the situation, reducing unnecessary processing while maintaining contextual personalization where it matters most.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are described for selecting an image of a caller associated with an incoming call. In one aspect, a method includes identifying a caller associated with an incoming call from an originating telecommunications device. The method also includes locating plurality images of the identified caller, and randomly displaying on the mobile telecommunications device's display screen one or more images from among the located plurality images of the identified caller.