Personalized Venue Seat Selection System
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Solution Overview
Problem
Users face difficulties in selecting desirable seats for events due to the lack of personalized seating preferences in ticket purchasing systems, which do not effectively account for individual preferences such as proximity to attractions, friend or family seating, and avoidance of certain areas like food stands or restrooms.
Innovation Solution
A system that allows users to store and utilize seating preferences, which can be pre-set or inferred from purchase history, to filter and display available seats on a venue map with color coding indicating preference matching, enabling users to select seats that best meet their criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a traditional venue map is provided to help customers select seats, then customers can see seating areas and their relationship to attraction areas, but the system cannot account for individual user preferences such as proximity to friends, avoidance of food stands, or specific viewing requirements
Solution Approach 1:
The system performs preliminary actions by storing user seating preferences in advance before the actual ticket purchase. Users can pre-define their seating criteria (proximity to attraction, distance from food stands, accessibility requirements, etc.), and the system saves these preferences for automatic application during future ticket purchases, eliminating the need to re-specify preferences each time
Solution Approach 2:
The patent introduces an intermediary component - the preference storage mechanism and processing system - that mediates between the user's individual preferences and the venue map display. This intermediary layer processes user preferences, stores them, and applies them as filters or highlights on the venue map, enabling personalized seat recommendations without requiring direct user intervention during each purchase
2Productivity
If users manually review all available seats on a venue map to find desirable seats, then users can see all seating options, but users spend excessive time and effort evaluating each seat against their personal criteria
Solution Approach 1:
The system implements self-service by automatically applying user-defined preferences to filter and rank available seats. Once users set their preferences once, the system autonomously evaluates all available seats against these criteria, highlights matching seats on the venue map, and presents them in priority order, allowing users to quickly select seats without manually evaluating each option
Solution Approach 2:
The system changes the display parameters of the venue map by dynamically highlighting or coloring seats that match user preferences. Instead of showing all seats uniformly, the system modifies visual parameters (color coding, highlighting) based on how well each seat matches stored user preferences, enabling rapid identification of suitable seats
3Loss of information
If the system provides detailed information about all seating areas and features, then users have complete information for decision-making, but users are overwhelmed by excessive information and cannot quickly identify seats meeting their specific preferences
Solution Approach 1:
The patent applies local quality by providing different information emphasis to different seats on the venue map. Instead of uniform information presentation, the system highlights specific seats that match user preferences with visual indicators (color coding, icons, or annotations), while keeping other seats in standard display mode. This allows users to focus on relevant information without being overwhelmed by details about all seats
Data Source
AI summary
Methods and systems are provided for allowing a user to more easily select seats that are desirable to the user at event venues. Seating preferences of the user can be provided by the user or can be determined from historic user ticket purchase information. A ticket server can present the user with a map that shows those seating areas that meet at least some of the user's preferences. The user can use the map to determine which seats the user would like to purchase.