Device Interaction Recommendation via Automatic Profile-Based Transfer
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Solution Overview
Problem
Current networking technologies require substantial user effort to personalize and optimize interactions between devices and services, limiting the ease of information transfer and user experience.
Innovation Solution
A method and apparatus that recommend interactions between devices and services in a local environment by locating and selecting devices based on user profiles, allowing for automatic transfer of functionality to enhance user experience without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual personalization is implemented to optimize device interactions, then user experience is improved, but user effort and time consumption increase
Solution Approach 1:
The system automatically discovers available devices, analyzes user interaction patterns, and generates device interaction recommendations without requiring manual user configuration. The apparatus performs self-service by autonomously building user profiles from observed behavior and generating personalized device collaboration recommendations, eliminating the need for users to manually personalize their device interactions while still improving ease of operation.
2Ease of operation
If automatic device selection based on user profiles is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The apparatus implements a universal device discovery and selection mechanism that can handle multiple types of devices (audio devices, display devices, computing devices) through a single unified system. This multi-functional approach allows the same core apparatus to discover, profile, and recommend interactions across diverse device types, managing complexity through universality rather than requiring separate specialized systems for each device category.
Solution Approach 2:
The system introduces an intermediary apparatus that acts as a mediator between the user and multiple devices. This intermediary component handles the complexity of device discovery, user profile analysis, and interaction recommendation generation, shielding users from the underlying system complexity while enabling automatic functionality transfer based on learned user preferences and behavior patterns.
3Productivity
If device collaboration recommendations are generated automatically, then productivity is improved, but information processing requirements increase
Solution Approach 1:
The system extracts only the essential interaction patterns and preferences from user behavior data to build compact user profiles. Rather than processing and storing all raw interaction data, the apparatus extracts key features such as preferred devices for specific tasks, timing patterns, and contextual preferences, reducing information processing requirements while still enabling effective automatic device selection and functionality transfer.
Data Source
AI summary
Various methods are provided for recommending interaction between devices in a local environment. One example method may include locating at least one device within a local environment in response to an interaction with content. The at least one device that is located within a local environment is configured to provide functionality related to the interaction with the content. The method may include identifying a selected device from the located at least one device based on a user profile recommendation and the interaction with the content. The method may further include causing at least one of the content and an executable to be transferred to the identified selected device. Similar and related example apparatuses and example computer program products are also provided.