Dynamic Digital Content Reconfiguration for Physical Accommodations
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Solution Overview
Problem
Conventional digital content systems for physical venues are static and fail to address the diverse physical accommodations of users, leading to inefficiencies and increased resource consumption, such as customer service calls and automated system usage.
Innovation Solution
A physical accommodation module dynamically reconfigures digital content, such as maps and service lists, based on user-specific accommodations like mobility, visual, auditory, and minor child needs, by processing ticket data and user profiles to provide tailored navigation and service suggestions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static digital content is provided to users at physical venues, then the system structure is simple and easy to implement, but the content fails to address diverse physical accommodations of users, leading to increased resource consumption and customer service calls
Solution Approach 1:
The patent implements dynamic digital content that automatically reconfigures based on detected physical accommodations. The system transitions from static to dynamic content delivery by monitoring user characteristics (mobility, visual, auditory accommodations) and adjusting content properties (text size, audio output, navigation complexity) in real-time without requiring manual intervention or complex system reconfiguration.
Solution Approach 2:
The system provides self-service accommodation detection and content adaptation. Users' physical accommodations are automatically detected through ticket data analysis and device sensors, and the digital content self-adjusts to meet their needs without requiring customer service intervention or manual configuration, thereby reducing resource consumption while improving adaptability.
2Ease of operation
If static digital content is provided to all users, then the computational resources required are minimal, but user experience deteriorates due to lack of personalized accommodation support
Solution Approach 1:
The system performs preliminary detection of physical accommodations during ticket purchase and initial device setup. By pre-configuring accommodation preferences and analyzing ticket data before the user arrives at the venue, the system reduces real-time computational requirements while ensuring personalized content delivery from the start, improving ease of operation without excessive resource consumption.
Solution Approach 2:
The patent dynamically changes content parameters (text size, font type, audio volume, navigation detail level) based on detected accommodation types. This targeted parameter adjustment approach provides personalized user experience by modifying only the necessary content attributes rather than reprocessing entire content sets, thereby balancing ease of operation with computational efficiency.
3Reliability
If manual customer service intervention is used to address accommodation questions, then accurate user needs are met, but resource consumption and time costs increase significantly
Solution Approach 1:
The system implements continuous feedback loops where user interactions with digital content are monitored and analyzed. The system detects accommodation needs through multiple feedback channels (ticket data, device sensors, user preferences, interaction patterns) and automatically adjusts content delivery. This feedback-driven approach ensures reliable accommodation support while eliminating time-consuming manual customer service interactions.
Solution Approach 2:
The patent replaces manual customer service mechanisms with automated detection and adaptation systems. Physical accommodation detection is substituted with digital analysis of ticket data and sensor input, while manual content adjustment is replaced with automated reconfiguration algorithms. This substitution maintains reliability of accommodation support while dramatically reducing time losses associated with human intervention.
Data Source
AI summary
Digital content reconfiguration techniques and systems are described that address physical accommodations. In one example, a physical accommodation module identifies a type of digital content being requested and obtains the digital content. The physical accommodation module also obtains ticket data associated with a user that made the request. The ticket data is then processed by the physical accommodation module to determine a physical accommodation. The determined physical accommodation is then used by the physical accommodation module to reconfigure the digital content, and as such, may dynamically address the physical accommodation, e.g., for mobility, visual, auditory accommodations, whether the user is attending the event with minor children, and so forth.


