Device Selection for Content Sharing Based on Capability Assessment
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Solution Overview
Problem
Existing methods for sharing content between co-located users are often inefficient and require significant configuration, especially when users are associated with multiple devices of varying capabilities, leading to suboptimal content sharing experiences.
Innovation Solution
An apparatus and method that automatically selects the most capable device among a user's associated devices to receive shared content based on hardware, software, and context information, allowing for intuitive and efficient content sharing without requiring user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual device selection is used for content sharing, then user control is maintained, but configuration time and complexity increase significantly
Solution Approach 1:
The system automatically selects the target device for content sharing by evaluating device capabilities, user context, and content characteristics without requiring manual user configuration. The apparatus performs self-service device selection by analyzing multiple parameters and autonomously determining the optimal receiving device, thereby eliminating time-consuming manual setup while maintaining intelligent decision-making
Solution Approach 2:
The system pre-establishes device capability profiles and user association data before content sharing operations occur. By performing preliminary device discovery, capability assessment, and context analysis in advance, the system prepares selection criteria beforehand, enabling rapid automatic device selection when sharing is initiated without requiring real-time user configuration
2Loss of time
If automatic device selection is implemented, then configuration time is reduced, but device selection accuracy may deteriorate
Solution Approach 1:
The system evaluates multiple parameters including device capabilities (hardware specifications, software features), user context (current location, active applications, device usage patterns), and content characteristics (type, size, format) to dynamically adjust selection criteria. By changing and weighing multiple parameters simultaneously, the system achieves accurate device selection through comprehensive parameter analysis rather than relying on a single factor
Solution Approach 2:
The system incorporates feedback mechanisms that analyze user behavior patterns, device performance data, and sharing operation outcomes to continuously refine device selection algorithms. By collecting and processing feedback from previous sharing operations and current device states, the system improves selection accuracy over time while maintaining automatic operation, ensuring that the selected device best matches user needs and content requirements
3Adaptability or versatility
If multiple devices are supported for sharing, then versatility is improved, but device complexity increases
Solution Approach 1:
The system segments the device selection process into distinct functional modules: device discovery module that identifies available devices, capability assessment module that evaluates device features, context analysis module that examines user and environmental factors, and selection decision module that determines the optimal target device. By dividing the complex selection mechanism into separate manageable segments, the system supports multiple device types with varying capabilities while maintaining organized and efficient selection logic
Data Source
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AI summary
An apparatus, method, and computer program product are described that provide for the selection of a device from among one or more devices that is best suited to receive and process content. Upon receipt of input from a user designating a target user with whom content is to be shared, at least one device associated with the designated target user is identified. A capability of one or more of the identified devices to experience the content to be shared is then determined. One of the identified devices is then selected to receive the content at least partially based on the capability determined. In this way, the content is shared with one of the designated target user's devices that is most appropriate for receiving the particular content, providing the target user with the best experience of the content and at the same time allowing for a "user-centric" content sharing experience.