Contextual Device Selection for Media Playback
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Solution Overview
Problem
Conventional media playback systems require users to manually select devices from a list, which is inefficient and does not consider user-specific preferences or contextual data, leading to suboptimal playback device selection.
Innovation Solution
An electronic device uses processor-accessible user-specific contextual data to automatically select a playback device based on user preferences, activity, device capabilities, and proximity, ensuring that media content is played on the most relevant device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual device selection from a list is implemented, then device selection capability is provided, but user operation efficiency deteriorates and selection accuracy worsens
Solution Approach 1:
The system performs automatic device selection without requiring user intervention. The electronic device autonomously accesses contextual data, evaluates available devices, and selects the most appropriate playback device based on user preferences and current context, eliminating the need for manual selection from a device list.
Solution Approach 2:
The system pre-processes and stores contextual data about user preferences, device capabilities, and usage patterns before selection is needed. This preliminary preparation enables rapid automatic selection when media playback is requested, avoiding time-consuming manual evaluation of device options.
2Adaptability or versatility
If manual device selection is required, then all available devices can be listed, but selection accuracy and relevance to user context deteriorate
Solution Approach 1:
The system dynamically evaluates multiple parameters including user preferences, device capabilities, current usage context, and proximity to determine the most suitable playback device. By weighing and comparing these parameters, the system achieves accurate device selection that adapts to specific user needs and situational context.
Solution Approach 2:
The system utilizes stored contextual data about user preferences and historical behavior patterns to inform device selection decisions. This feedback mechanism ensures that selected devices align with user expectations and preferences, improving selection accuracy while maintaining versatility across different device types.
3Ease of operation
If automatic device selection is implemented using contextual data, then user experience is improved, but system complexity increases
Solution Approach 1:
Contextual data about user preferences, device capabilities, and usage patterns is collected and stored in advance through preliminary actions. This pre-processing of information simplifies the actual selection process, as the system only needs to query and evaluate pre-organized contextual data rather than gathering information in real-time during playback requests.
Data Source
AI summary
One embodiment provides a method, including: receiving, at an electronic device, a request to play media content; accessing, using a processor of the electronic device, a list of user devices; identifying, using the processor, user specific contextual data associated with the list of user devices; selecting, using the processor, a user device from the list of user devices based on the user specific contextual data; and playing, with the user device selected, the media content. Other aspects are described and claimed.