Livestream Tipping System with Dynamic Toy Control
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Solution Overview
Problem
Viewers tend to tip at the lower end of given tipping ranges during livestreams, resulting in reduced tip income for models, as the current tipping systems do not effectively incentivize viewers to tip higher amounts.
Innovation Solution
An interactive method and system that configures an initial association between tip parameters and execution parameters of sex toys, allowing for performance optimization based on the weight of actual tips received, thereby generating optimized action performances and control instructions to enhance the tipping experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed tip value is associated with a fixed toy action in a tipping range, then the tipping system is simple to operate, but viewers tip at the lower end of the range resulting in reduced tip income for models
Solution Approach 1:
The patent implements dynamic adjustment of toy action parameters (amplitude, duration, intensity) based on the actual tip amount received. Instead of fixed associations, the system continuously adapts the toy's response to match the viewer's tipping level, encouraging higher tips by providing proportionally enhanced rewards.
Solution Approach 2:
The system changes multiple parameters of the toy action simultaneously (amplitude, duration, intensity, sequence) based on the tip amount. This multi-parameter adjustment creates a more sophisticated reward structure that better reflects the tip value, moving away from simple fixed associations.
2Device complexity
If tipping ranges are implemented with fixed toy actions, then the system structure is simple, but viewer incentive to tip higher amounts is reduced
Solution Approach 1:
The patent implements dynamic adjustment of toy action parameters (amplitude, duration, intensity) based on the actual tip amount received. Instead of fixed associations, the system continuously adapts the toy's response to match the viewer's tipping level, encouraging higher tips by providing proportionally enhanced rewards.
Solution Approach 2:
The system provides immediate feedback to viewers by adjusting the toy's action in real-time based on the tip amount received. This feedback loop creates a direct connection between tipping behavior and reward quality, incentivizing viewers to tip higher amounts to achieve more satisfying toy responses.
3Ease of manufacture
If fixed tip values are used within tipping ranges, then the association between tip and toy action is simple to manage, but model earnings are reduced
Solution Approach 1:
The system changes multiple parameters of the toy action simultaneously (amplitude, duration, intensity, sequence) based on the tip amount. This multi-parameter adjustment creates a more sophisticated reward structure that better reflects the tip value, moving away from simple fixed associations.
Solution Approach 2:
The system automatically calculates and adjusts toy action parameters based on the received tip amount, eliminating the need for manual configuration of fixed tip values. The system self-adapts to maximize model earnings while maintaining ease of operation.
Data Source
AI summary
An interactive method is disclosed. The interactive method includes configuring an initial association between a tip parameter and an execution parameter of a sex toy, wherein the tip parameter includes one or more tip ranges, and the execution parameter is configured to quantify an action performance of the sex toy, wherein the execution parameter includes at least one of an action type, an action amplitude, an action duration, or an action cycle having at least one of a frequency, a start time, or an end time, and determining whether an actual tip falls into one of the one or more tip ranges in response to receiving the actual tip from at least one viewer device.