Vehicle and method for adjusting user devices for user of vehicle
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing connected car services fail to provide personalized emotion care to users, as they do not account for individual differences in emotional states and coping mechanisms, leading to ineffective stress relief and comfort provision.
Innovation Solution
A vehicle system comprising an analyzer to detect bio-information and a controller to adjust user devices based on user preference information from a metaverse server, using sensors to analyze emotional states and convert them into numerical values to control mood lamps, fragrance dispensers, audio devices, and other comfort features, switching from individualized to batch service modes when target values are reached.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If uniform emotion care services are provided to all users, then service simplicity is improved, but personalization effectiveness deteriorates
Solution Approach 1:
The system segments users into different groups based on their emotional states and coping preferences obtained from metaverse activities. This segmentation enables the provision of personalized emotion care services tailored to each user group's specific needs, resolving the contradiction between service simplicity and personalization effectiveness by automating the segmentation process through data analysis.
Solution Approach 2:
The system performs preliminary analysis of user preferences and emotional coping mechanisms through metaverse activity data before providing emotion care services. This preliminary action captures user-specific information in advance, allowing the system to automatically personalize services without requiring complex real-time adjustments, thus maintaining service simplicity while achieving personalization.
2Adaptability or versatility
If personalized emotion care services are provided based on user preferences, then personalization effectiveness is improved, but service complexity deteriorates
Solution Approach 1:
The system introduces metaverse activity data as an intermediary to capture user preferences and emotional coping mechanisms. This intermediary data source enables personalized service delivery without requiring complex direct measurement and analysis systems within the vehicle, as the metaverse platform already contains rich user behavior data that can be leveraged for personalization.
Solution Approach 2:
The system copies user preference information from metaverse activity records to the emotion care service system. This copying approach allows personalized services to be implemented without duplicating complex analysis infrastructure, as the preference data is already structured and available in the metaverse platform, reducing overall system complexity.
3Adaptability or versatility
If user preference information from metaverse activities is utilized, then service personalization is improved, but information processing requirements deteriorates
Solution Approach 1:
The system extracts only the essential preference information related to emotional coping mechanisms from metaverse activity data, rather than processing all available user information. This extraction approach focuses on relevant data elements (such as preferred relaxation activities, emotional responses to virtual experiences) while filtering out unnecessary information, reducing processing requirements while maintaining personalization effectiveness.
Data Source
AI summary
A vehicle may include an analyzer configured to analyze a state of a user based on bio-information of the user; a controller configured to control at least one user device based on preference information of the user and the analyzed state, such that the user is provided with a service; wherein the preference information may be transmitted from a metaverse server to the vehicle through a vehicle management server, and may include information about different methods of coping with different states of the user.