Novelty Index Value Computation for Wireless Device Location Personalization
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Solution Overview
Problem
Existing location-based services for handheld wireless devices fail to provide personalized augmented reality experiences due to the lack of a system that effectively assesses the novelty of locations for individual users, leading to inefficient data placement and privacy concerns in distributed recommendation systems.
Innovation Solution
A method to compute a novelty index value for wireless device locations, which characterizes how novel it is for the device to occupy that location, enabling personalized augmented reality services and recommendations by processing sensor signals and storing the novelty index value in a database, either locally or remotely, to provide context-specific and privacy-protected recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a distributed recommendation system is implemented for wireless devices, then personalized recommendations can be provided, but privacy concerns significantly increase
Solution Approach 1:
The patent introduces a novelty index computation system as an intermediary between the user's location data and the recommendation engine. Instead of directly using detailed user behavior data for recommendations, the system first processes this data through a novelty index calculation that aggregates and anonymizes the information. This intermediary layer allows personalized recommendations to be generated while protecting user privacy by transforming sensitive raw data into a processed metric that retains utility for personalization but reduces identifiable information.
2Ease of operation
If augmented reality data is placed using absolute locations, then data can be easily accessed, but users may find it too easily due to daily routines
Solution Approach 1:
The patent applies local quality by making the visibility and placement of augmented reality data location-dependent based on user behavior patterns. Instead of uniformly placing data at all locations, the system analyzes the novelty index of specific locations and selectively displays or hides augmented reality content based on whether the user frequently visits that area. This creates locally optimized data placement where common routine locations have reduced visibility while novel locations have enhanced visibility, personalizing the augmented reality experience for each user's unique travel patterns.
3Adaptability or versatility
If location services are enhanced for personalized experiences, then user engagement increases, but system complexity increases
Solution Approach 1:
The patent extracts the computationally intensive novelty index computation from the wireless device itself and relocates it to a remote server system. The mobile device only needs to transmit basic location and usage data, while the complex analysis of travel patterns, novelty calculation, and recommendation generation are performed externally. This extraction of complexity from the device reduces the processing burden on mobile hardware while still enabling sophisticated personalized augmented reality experiences through server-side computation.
Data Source
AI summary
The invention is a system and method for computing a result for a location, wherein the result indicates how novel it is for a wireless device to occupy a specific location. After determining the location of a wireless device through various means, a Novelty Index Value (NIV) is calculated for the location, and the NIV is then stored into a database. The NIV may then be subsequently used by application programs to compute a desired result from the NIV. Multiple users may utilize and/or share the same NIV values. The NIV may also be used to alter the configuration of a wireless device as well. A recommendation system is also disclosed, wherein user context is utilized along with NIV values to compute particular results for a user.