User Presence Information Personalization via Behavioral Learning

Solution Overview

Problem

Existing communication systems automatically generate presence information based on common rules, which can be tedious for users to personalize, especially when adapting to their specific behaviors and contexts.

Innovation Solution

A device and method that learns user behavior to automatically generate personalized presence information rules, allowing for adaptive and coherent personalization without manual intervention, by detecting repetitive behaviors and context changes, and providing user control over rule creation and modification.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If common determination rules are applied to automatically generate presence information, then automation extent is improved, but adaptability to individual user behaviors deteriorates

Engineering Contradiction:

Improveautomatic generation of presence informationVSAvoidpersonalization to user behavior

Core Design Contradiction:

Extent of automationVSAdaptability or versatility

Solution Approach 1:

The system enables users to automatically personalize their presence information by learning from their own behavioral patterns. The device monitors user actions (such as manually modifying presence information) and automatically generates personalized determination rules based on detected repetitive behaviors, allowing the system to serve itself without requiring continuous manual intervention from the user.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements a feedback mechanism where user behaviors are continuously monitored and fed back into the rule generation process. When a repetitive behavior is detected, the system automatically creates or modifies determination rules, which then influence future presence information generation. This closed-loop feedback enables the system to adapt to individual user preferences while maintaining automation.

Inventive Principle:

Principle #23Feedback

2Adaptability or versatility

If manual modification of presence information is allowed, then adaptability to user preferences is improved, but loss of time due to repetitive manual tasks increases

Engineering Contradiction:

Improvepersonalization of presence informationVSAvoidtime spent on manual personalization

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by proactively monitoring user behaviors and pre-generating personalized determination rules before the user needs to manually modify presence information. When repetitive behaviors are detected, the system automatically creates rules that will guide future presence information generation, eliminating the need for repeated manual interventions and saving the user's time.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system enables users to automatically personalize their presence information by learning from their own behavioral patterns. The device monitors user actions (such as manually modifying presence information) and automatically generates personalized determination rules based on detected repetitive behaviors, allowing the system to serve itself without requiring continuous manual intervention from the user.

Inventive Principle:

Principle #25Self-service

3Adaptability or versatility

If determination rules are made specific to individual users, then adaptability is improved, but device complexity increases

Engineering Contradiction:

Improveuser-specific personalizationVSAvoidrule generation and management system

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system enables users to automatically personalize their presence information by learning from their own behavioral patterns. The device monitors user actions (such as manually modifying presence information) and automatically generates personalized determination rules based on detected repetitive behaviors, allowing the system to serve itself without requiring continuous manual intervention from the user.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system employs a universal learning mechanism that can handle multiple users and various types of behaviors through a single rule generation framework. The same device and process can adapt to different users' preferences and behavioral patterns, making the complexity management scalable and reusable across multiple contexts rather than requiring separate complex systems for each user.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentEP2351328B1Method and device for generating information descriptive of the situation of a user

Publication Date: 2019.08.21 ORANGE SA

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AI summary

Device for generating information descriptive of the situation of a user at a given instant, said information being intended to be transmitted to other users, the device comprising - means (50) for learning the behaviour of a user, devised so as to create or modify a rule for determining at least one piece of said information, said determining rule being dependent on at least one context parameter descriptive of a context in which said user finds himself when he manifests said behaviour, and - means (30) for determining at least one piece of said information by applying at least one such determining rule.