Location-Based Naming for Digital Objects Using User Familiarity
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Solution Overview
Problem
Existing digital photography organization systems, such as those using geocoding and reverse geocoding, are inflexible and often present street addresses that are meaningless to users due to varying levels of geographic location familiarity.
Innovation Solution
A system that assigns location-based names to digital objects based on user familiarity with the geographic location, using a familiarity score to determine the level of specificity in naming, allowing for tailored and meaningful organization and display of digital content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If geocoding and reverse geocoding are used to organize photographs, then location information can be automatically retrieved, but the street addresses retrieved may be meaningless to users who are not familiar with the location
Solution Approach 1:
The system applies different levels of location specificity based on the user's familiarity with the location. For users familiar with a location, specific local names (e.g., neighborhood or landmark names) are used; for users less familiar, broader regional names are used. This local quality adaptation ensures the location information is meaningful to each user.
Solution Approach 2:
The naming convention dynamically adjusts based on user familiarity scores. The system calculates a familiarity score for each user-location pair and selects the appropriate level of specificity accordingly. This dynamic adaptation allows the same location data to be presented differently to different users.
2Adaptability or versatility
If a single fixed naming convention is used for all locations, then the system is simple to implement, but it cannot adapt to users' varying levels of familiarity with different locations
Solution Approach 1:
The location naming system is segmented into multiple levels of specificity (e.g., country, state, city, neighborhood, landmark). The system divides the location information hierarchy and selects the appropriate level based on user familiarity, making the complex information manageable and adaptable.
Solution Approach 2:
The system changes the parameter of location specificity based on the familiarity score. By adjusting which level of location detail is displayed (from broad to specific), the system adapts to user needs without requiring completely different naming systems for different user types.
Data Source
AI summary
In one embodiment, location-based names are selected for a digital object based on a user's familiarity with the geographic location where the digital object was generated. For example, a memory stores multiple names indicative of the same geographic location. The multiple names may include a street address, a city, and a state, where each defines a different level of location specificity. The device that generates the digital object also collects familiarity data for the geographic location and calculates a familiarity score for the digital object based on the familiarity data for the user or the device. If the familiarity score is above a threshold, the user of the device is familiar with the geographic location, and a specific name is associated with the digital object. If the familiarity score is below the threshold, the user of the device is not familiar with the geographic location, and a broader name is associated with the digital object.