Information Processing Device for Fan-Type Tactile Control
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Solution Overview
Problem
Existing communication technologies do not effectively enhance fan experience by considering the fan attribute of the audience, such as their level of support for a target, leading to inadequate engagement and enjoyment, particularly for potential fans.
Innovation Solution
An information processing device that estimates a user's fan type based on context information and controls the provision of tactile and other stimuli to enhance fan experience, promoting fan transition and improving engagement through personalized content delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If tactile signals are generated from biological information of a certain person and transmitted to other persons, then a sense of unity and communication between artist and audience or between audiences is enhanced, but fan experience cannot always be improved because fan attributes such as how much an audience is a fan with respect to which target are not taken into consideration
Solution Approach 1:
The patent segments the audience into different fan types (e.g., official fans, potential fans, non-fans) based on their support level for the target. This segmentation allows the system to apply different tactile signal strategies to different segments, improving adaptability without requiring complete redesign of the entire system. The classification model divides users into discrete categories that can be handled differently.
Solution Approach 2:
The patent implements dynamic adjustment of tactile signal transmission based on real-time estimation of fan types. The system continuously monitors biological information and context information to update fan type classifications, allowing the tactile signal strategy to adapt dynamically to changing audience states and individual fan attributes throughout the event.
2Reliability
If the same tactile signal transmission method is applied to all audience members, then implementation is simple, but fan experience cannot be improved because individual fan attributes are not considered
Solution Approach 1:
The system employs automatic estimation of fan types using machine learning models that process biological information and context information without requiring manual intervention. The classification is performed automatically based on sensor data, maintaining ease of operation while improving reliability through personalized treatment of different fan types.
Solution Approach 2:
The patent changes the parameter of tactile signal transmission by adjusting the type, intensity, or pattern of tactile feedback based on the estimated fan type. For example, official fans may receive different tactile signals compared to potential fans, optimizing the fan experience for each group while maintaining a unified system architecture.
3Measurement precision
If fan type estimation based on context information is implemented, then personalized control can be executed to improve fan experience, but measurement and detection of fan attributes becomes more difficult
Solution Approach 1:
The patent introduces context information as an intermediary that bridges the gap between raw biological data and fan type classification. Instead of directly measuring fan attributes, the system uses context information (such as event data, user behavior patterns, and environmental factors) as intermediate indicators that help infer fan types with higher precision.
Solution Approach 2:
The patent replaces direct mechanical or manual measurement of fan attributes with automated information processing using machine learning models. The system substitutes complex manual assessment with computational analysis of biological and context information, reducing the difficulty of detection while improving measurement precision through algorithmic classification.
Data Source
AI summary
An information processing device according to an embodiment includes: an estimation part that estimates, on the basis of context information of a first user, a fan type to which a second user belongs among fan types that are types defined for each of predetermined targets, and are types defined in stages according to degrees of supporting the predetermined target; and a control unit that executes, for the second user, control according to a fan type estimated by the estimation part.