Persona-Based Service Delivery via Cloud Intermediary
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Solution Overview
Problem
Existing technologies face challenges in communicating and adapting user preferences across different environments for personalized service delivery in IoT-based systems, leading to inconsistent service experiences.
Innovation Solution
A cloud-based server receives and analyzes user interaction data from sensors and service devices to develop and update a 'persona' specific to each user, which includes preferences and command instructions, allowing for real-time adaptation of environmental settings across various environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If user preferences are manually configured for each device, then device configuration accuracy is improved, but system complexity and time consumption increase
Solution Approach 1:
The system enables self-service by automatically generating device configuration instructions from user interaction data and persona information without requiring manual user configuration. The service device receives commands automatically based on monitored user behavior, eliminating the need for users to manually configure each device while maintaining high configuration accuracy.
Solution Approach 2:
The patent introduces a cloud-based server as an intermediary that collects user interaction data, develops persona models, and generates configuration instructions. This intermediary layer abstracts the complexity from the user side, centralizing the configuration management functionality and reducing overall system complexity while maintaining precise device configuration.
2Manufacturing precision
If manual device configuration is used, then user preference accuracy is improved, but service delivery time increases
Solution Approach 1:
The system performs preliminary action by continuously monitoring user interactions and pre-developing persona models and configuration instructions in advance. When a service scenario arises, the pre-prepared persona information enables immediate service delivery without requiring real-time manual configuration, thus maintaining high user preference accuracy while reducing service delivery time.
Solution Approach 2:
The patent implements feedback mechanisms where user interaction data is continuously collected and used to refine persona models. This feedback loop allows the system to learn and adapt user preferences over time, maintaining high preference accuracy while automating the configuration process to reduce service delivery time.
3Reliability
If environment-specific configurations are used, then local service quality is improved, but adaptability across environments decreases
Solution Approach 1:
The patent creates a universal persona model that can be applied across multiple environments and service devices. The persona information serves as a multi-functional configuration that adapts to different environments while maintaining consistent user preference accuracy. This universal approach allows the same persona to govern service delivery in various contexts, improving both local service quality and cross-environment adaptability.
Solution Approach 2:
The system segments user preferences into distinct persona attributes that can be independently applied to different environments. By breaking down the configuration into modular persona elements, the system can selectively apply relevant preferences to each environment, maintaining high local service quality while ensuring consistent adaptability across diverse settings.
4Reliability
If personalized service delivery is implemented, then user experience quality is improved, but data processing complexity increases
Solution Approach 1:
The cloud-based server acts as an intermediary that handles complex data processing tasks, including collecting user interaction data, developing persona models, and generating configuration instructions. By centralizing these complex processing operations on the server side, the patent reduces the data processing complexity burden on local devices while maintaining high user experience quality through personalized service delivery.
Solution Approach 2:
The patent extracts the complex data processing functionality from the service devices and relocates it to a cloud-based server. This extraction removes the computational burden from individual devices, reducing their complexity requirements while enabling sophisticated personalized service delivery through centralized persona model development and management.
Data Source
AI summary
A method of persona-based service delivery includes receiving use data from a sensor and from a service device while a user interacts with the service device in a current environment. Based on the use data, the method includes developing, a preference that reflects the interaction by the user with the service device as monitored by the sensor. Based on the preference, the method includes developing a command instruction that modifies a physical operational condition of the service device consistent with the preference. The method includes storing a persona specific to the user, the persona including the preference and the command instruction for the user in the current environment. The method includes subsequently receiving collected data that includes a user characteristic of the user in the current environment. In response to receipt of the collected data, the method includes downloading the persona of the user to the sensor.