Call Filtering Device Using Media Context and User Profiles
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users are frequently disrupted by incoming phone calls while engaged in activities like watching TV or listening to the radio, leading to frustration for both the caller and the user, as existing solutions do not effectively block or redirect unwanted calls during specific activities.
Innovation Solution
A self-learning device that creates a user profile by analyzing media content and user behavior, allowing it to block or redirect incoming calls based on the context, using interfaces with both the user's phone and media devices, such as TVs or radios, to determine whether a call is wanted or unwanted.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If incoming calls are blocked during media content playback, then user distraction is reduced, but the ability to receive important calls is limited
Solution Approach 1:
The system applies different call handling policies to different callers based on their importance to the user. Important callers (e.g., family members, close friends) are excluded from blocking regardless of media playback state, while other callers are blocked during media content. This localized differentiation resolves the contradiction by preserving critical communication channels while maintaining distraction-free media consumption for regular calls.
Solution Approach 2:
The system pre-configures user profiles with important contact information before call blocking decisions are made. By having this information prepared in advance, the system can quickly determine whether to block or allow calls without interrupting media playback, thus maintaining both user comfort and reliable reception of important calls.
2Ease of operation
If call blocking is implemented based on media content analysis, then call distraction is reduced, but system complexity increases
Solution Approach 1:
The system integrates multiple functions into a unified call handling mechanism: media content detection, user profile management, call blocking decisions, and important contact filtering all work together through a single intelligent system. This multi-functionality reduces the need for separate complex subsystems while achieving automatic call filtering based on media context.
Solution Approach 2:
The system automatically learns and adapts to user preferences by analyzing media content and call patterns without requiring manual configuration for each scenario. User profiles are created and updated automatically, and the system self-adjusts blocking behavior based on accumulated data, reducing the complexity of manual system configuration and management.
3Measurement precision
If user profiles are created through self-learning, then call blocking accuracy improves, but data processing time increases
Solution Approach 1:
The system implements progressive profile learning where basic blocking rules are applied immediately with partial accuracy, and the profile continues to refine and improve over time as more data is collected. This allows the system to provide useful call filtering from the start while continuing to enhance accuracy, rather than requiring complete profile creation before any blocking occurs.
Solution Approach 2:
The system incorporates feedback mechanisms where user responses to blocked calls (manual overrides, corrections) are used to continuously refine the learning algorithm. This feedback loop accelerates profile creation by leveraging user input to quickly identify important patterns and preferences, reducing the time needed to achieve high classification accuracy.
Data Source
AI summary
The device (10) has an interface (11) to a telephone (12) of the user and an interface (13) to a medial terminal (14), particularly a radio or a television. The device has a unit (15) for determining (16) incoming of a phone call (17) on the phone of the user and a monitoring unit (19) for determining the spatial connection between the telephone of the user and the medial terminal. Independent claims are also included for the following: (1) a method for providing a user profile for detection of desired or unwanted telephone calls depending on the user behavior of a user of a telephone; and (2) a method for detection of desired or unwanted telephone calls depending on the user behavior of a user of a telephone.