Universal User Presentation Preferences Hub
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Solution Overview
Problem
Existing presentation devices lack the ability to universally apply user preferences for content presentation settings across different locations, times, devices, content types, and providers, leading to inconsistent and inconvenient user experiences.
Innovation Solution
A cloud-based system that includes a hub coupled to presentation devices, which uses a conditions engine and a preferences engine to identify and apply user presentation preferences based on various presentation settings, ensuring consistent content presentation across different scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If default presentation settings are configured once during initial setup, then device complexity is reduced, but adaptability to different users and situations deteriorates
Solution Approach 1:
The system automatically detects user identity through various inputs (voice, facial recognition, device identifiers) and autonomously applies the appropriate user profile and presentation settings without requiring manual configuration. The system self-adjusts volume, picture format, closed captioning, and other parameters based on the detected user, eliminating the need for users to manually reconfigure settings each time they use the device.
Solution Approach 2:
The system dynamically changes multiple presentation parameters simultaneously based on user profiles stored in memory. Each user profile contains pre-configured values for volume levels, picture formats, color schemes, font sizes, and closed captioning settings. When a user is identified, the system retrieves their profile and applies all associated parameter changes automatically, enabling the device to adapt to different users without increasing operational complexity.
2Adaptability or versatility
If manual adjustment of presentation settings is required for each user and situation, then adaptability improves, but ease of operation deteriorates
Solution Approach 1:
The system performs automatic user identification and setting application without requiring manual intervention. Users simply need to interact with the device normally, and the system handles the entire process of detecting user identity, retrieving the appropriate profile, and applying all necessary presentation settings automatically.
Solution Approach 2:
User preferences and presentation settings are pre-configured and stored in memory during an initial setup phase or through prior user interactions. The system prepares multiple user profiles in advance, each containing optimized settings for that user's preferences. When a user accesses the device, the system quickly retrieves the pre-prepared profile and applies the settings instantly, eliminating the need for real-time manual adjustment.
3Ease of operation
If presentation settings are optimized for specific users and conditions, then user experience improves, but device complexity increases
Solution Approach 1:
The system divides user preferences into separate, modular profiles stored in memory. Each user profile is an independent data structure containing all presentation settings for that user (volume, picture format, closed captioning, etc.). This segmentation allows the system to manage multiple user configurations without creating a complex monolithic structure, as each profile can be independently stored, retrieved, and applied.
Solution Approach 2:
The system employs a universal architecture that handles multiple users and various presentation parameters through a single integrated framework. The same core components (user detection module, profile storage, settings application engine) serve all users and all presentation settings, rather than requiring separate specialized systems for each user or parameter type.
4Adaptability or versatility
If users travel to different locations with different devices, then device versatility improves, but consistency of presentation settings deteriorates
Solution Approach 1:
User profiles are stored in cloud-based memory or portable storage media that can be accessed across multiple devices and locations. When a user travels to a different location with a different device, the system retrieves the user's profile from the cloud or portable storage, copying the preference data to the new device. This ensures that the same presentation settings are applied consistently across different devices without requiring manual reconfiguration at each location.
Data Source
AI summary
A system may include a presentation device and a hub coupled thereto. The hub has a hardware processor which executes first computer instructions facilitating a conditions engine and second computer instructions facilitating a preferences engine. The preferences engine may identify a presentation preference and generate a preference instruction based on the presentation preference. The conditions engine, upon receiving the preference instruction, may identify a presentation condition and output a condition instruction to the presentation device. The system may include the presentation device, upon receiving the condition instruction, being configured in accordance with the presentation condition. The presentation preference may be an abstract preference, a technical preference, or a default preference. The presentation preference may be identified by the preferences engine based on a presentation setting, such as a location. The presentation condition may include at least one of an abstract condition, a technical condition, and a default condition.