Intelligent Contact Arrangement Using Location and Time Data
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Solution Overview
Problem
Existing contact management systems in user devices, such as smartphones, struggle to efficiently organize and navigate large contact lists, often requiring users to manually group contacts or rely on call frequency and timing, which can lead to forgotten acquaintances and increased navigation effort.
Innovation Solution
The method involves storing geographic and temporal information associated with contacts, using algorithms to arrange contacts based on proximity and meeting history, allowing for intelligent grouping and prioritization, such as by geographic location and time since last interaction, to present relevant contacts more intuitively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If contacts are stored with multiple types of information (name, picture, phone numbers, e-mail addresses, etc.), then the contact entries become more comprehensive and useful, but the number of contacts stored grows too large to be easily navigated
Solution Approach 1:
The patent segments contacts into different groups based on their relationship to the user (e.g., frequent contacts, occasional contacts, business contacts, personal contacts). This segmentation reduces the cognitive load and navigation effort when managing a large contact list, as users can focus on relevant groups rather than reviewing every single contact entry individually.
Solution Approach 2:
The system dynamically updates contact groupings based on interaction history and user behavior patterns. Contacts are automatically reorganized into different groups based on recent communication frequency and user preferences, making the contact list adaptive and easier to navigate over time.
2Ease of operation
If contacts are arranged by frequency of communication or proximity in time, then recently contacted individuals are easily accessible, but less frequently used contacts become difficult to locate
Solution Approach 1:
The patent divides contacts into multiple segments or groups based on communication frequency and relationship type. Frequently contacted individuals are placed in prominent groups that are easily accessible, while less frequently contacted individuals are organized in separate groups that can be systematically browsed, ensuring that no contacts are lost or forgotten.
Solution Approach 2:
The system incorporates feedback mechanisms that learn from user interactions with contacts. By monitoring how users access, call, or message contacts, the system adjusts groupings and priorities accordingly, improving both the accessibility of frequent contacts and the organization of less frequent contacts over time.
3Adaptability or versatility
If manual user-defined groupings are used to organize contacts, then contacts can be arranged according to user preferences, but the groupings must be manually assembled and do not automatically adapt to changing user needs
Solution Approach 1:
The patent implements self-service functionality where the contact organization system automatically analyzes user interaction patterns and creates groupings without manual intervention. The system monitors communication history, call frequency, and user behavior to autonomously determine optimal contact groupings, eliminating the need for users to manually assemble groups while still reflecting their preferences.
Solution Approach 2:
The system performs preliminary analysis of contact data and automatically establishes groupings before the user needs to access or manage contacts. By pre-organizing contacts based on predicted user needs and historical patterns, the system saves users time and provides ready-to-use organized contact lists.
Data Source
AI summary
Methods and apparatus for the convenient arrangement of a user's address book according to intelligent algorithms. These intelligent algorithms, in one embodiment, take advantage of one or more of: (i) stored contact information associated with one or more users, (ii) stored geographic location information associated with the users and one or more contact entries in the user's address book, and/or (iii) stored voice and data communication information associated with the user. This algorithm arranges the entries in the users address book, using the stored information as an input, in an intelligent manner. In other embodiments, additional information is used as an input to the contact entry arranging algorithms such as, for example, entries in a user's digital calendar. Business methods utilizing the aforementioned methods and apparatus are also disclosed.