Event Experience Analysis via User Action Data
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Solution Overview
Problem
Event organizers lack real-time insights into attendee enjoyment levels and purchasing behavior, making it difficult to assess event success and optimize future event pricing and marketing strategies.
Innovation Solution
A networked system that collects and processes user actions and parameters, such as physical movements, social media interactions, and purchases, to determine individual and overall event enjoyment levels, which are then used to create user profiles and inform future event planning and marketing decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If user actions and parameters are collected and processed to determine event enjoyment levels, then the quality of event experience information is improved, but the complexity of the system increases
Solution Approach 1:
The system segments the collection and processing of user data by utilizing multiple independent data sources (user devices, venue systems, payment systems) that each contribute specific types of information. This segmentation allows the system to gather comprehensive event experience data without requiring a single complex centralized collection mechanism.
Solution Approach 2:
The patent employs an intermediary processing system that receives data from multiple sources, processes it to determine enjoyment levels, and provides insights to event organizers. This intermediary layer simplifies the overall system architecture by centralizing the complex processing logic while keeping data collection distributed across multiple independent systems.
2Measurement precision
If multiple data sources are integrated to determine user enjoyment levels, then the accuracy of event success assessment is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The system employs a universal processing framework that can handle multiple types of data sources (biometric data, social media interactions, purchase behavior, physical actions) through a common enjoyment level determination algorithm. This multi-functional approach simplifies data integration by providing a unified method for processing diverse data types.
Solution Approach 2:
The patent transforms various types of raw data (biometric readings, social media posts, purchase amounts) into a standardized parameter format representing enjoyment levels. This parameter transformation allows different data sources to be integrated and compared on a common scale, simplifying the measurement process.
3Productivity
If real-time user actions are monitored and processed, then the productivity of event assessment is improved, but the loss of time for data processing increases
Solution Approach 1:
The system performs preliminary processing of user data by continuously collecting and pre-processing information during the event, rather than waiting until the event concludes. This preliminary action enables faster assessment by having data ready in advance, improving productivity while minimizing time loss.
Solution Approach 2:
The patent implements continuous data collection and processing during the event, maintaining an ongoing assessment of user enjoyment levels. This continuous operation eliminates interruptions and delays, allowing the system to provide real-time insights without significant time loss, thereby improving assessment productivity.
Data Source
AI summary
There is provided systems and method for determining a user's event experience through user actions. A user may attend an event at a venue and take various actions with respect to the event. For example, the user may dance and cheer at the event, which may be captured by a biometric reading device on a user device that the user has in their possession. Additionally, the user may share media and generate social networking interactions while at, or after the event. The user may also make purchases at the event or after the event, such as purchasing media content corresponding to the event, Based on the actions taken by the user, an enjoyment level may be determined, which may be used to further determine a quality or how overall enjoyable was the event. Thus, users may be provided with sales of products or future events matching their interests.