User Event Information Generation for Amusement Facility Personalization
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Solution Overview
Problem
Existing information providing systems for amusement facilities cannot generate information about events based on user-specific information.
Innovation Solution
An information processing apparatus and system that generates event information tailored to individual users by considering factors such as user preferences, time spent, attractions used, and historical visits, and transmits this information to user terminals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If generic information about amusement facilities is provided to all users, then the system complexity is low and ease of operation is high, but the information cannot be personalized based on user preferences and behavior
Solution Approach 1:
The system performs preliminary actions by collecting user information (preferences, visited attractions, purchase history) before generating event information. This advance data collection and processing enables personalized event recommendations without adding complexity during the actual information provision moment, as the personalization logic is prepared in advance through user profiling.
Solution Approach 2:
The system creates simplified copies of user profiles and preferences that can be easily processed and matched against event databases. Instead of handling complex raw user data directly, the system uses structured profile copies that capture essential personalization attributes, making the matching process efficient and manageable.
2Loss of information
If detailed user information is collected and processed to generate personalized event information, then the adaptability and user experience are improved, but the processing time and computational resources increase
Solution Approach 1:
The system extracts only the most relevant user information attributes needed for event personalization, such as favorite attraction types, preferred character themes, and visit frequency, rather than processing all possible user data. This selective extraction reduces processing time while maintaining high information relevance for event recommendations.
Solution Approach 2:
The system applies different processing depths to different user attributes based on their relevance to event information. Highly relevant attributes like favorite attraction types receive detailed processing, while less critical attributes receive minimal processing, optimizing the balance between information quality and processing efficiency.
Data Source
AI summary
A computer generates event information about an event performed in an amusement facility corresponding to information about a user of the amusement facility, and transmits the generated event information. The information about the user of the amusement facility includes at least one of information indicating an article of a character related to the amusement facility, information about a character or a living creature which the user likes, a time period during which the user is scheduled to stay in the amusement facility, how the user spend time in the amusement facility, information about an attraction used by the user in the amusement facility, profile information of the user, and a history of visits made by the user to the amusement facility.