In-Cabin Content Control Using Emotional Feedback in Autonomous Vehicles
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Solution Overview
Problem
Existing technologies for providing content in autonomous vehicles do not effectively utilize environmental and user data to enhance emotional engagement and recall of past experiences, lacking a systematic approach to refine content based on user emotional states.
Innovation Solution
An information processing circuitry that obtains environment data, measures user emotional states, and adjusts content provision to enhance emotional engagement by retrieving and refining content based on past user experiences, using a combination of abstract and user-specific data to trigger and deepen recall of past experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content is provided to users in autonomous vehicles using existing techniques, then basic entertainment functionality is achieved, but emotional engagement and recall of past experiences are not effectively enhanced
Solution Approach 1:
The system performs preliminary actions by obtaining environment data, acquiring abstract content data associated with the environment, and measuring initial user body data to determine baseline emotional states before content delivery. This preparation enables the system to selectively trigger and refine content based on past user experiences, thereby enhancing emotional engagement without losing meaningful information about user responses.
Solution Approach 2:
The system implements feedback mechanisms by measuring user body data before and after content provision, determining emotional states, and using these measurements to refine subsequent content delivery. The system acquires user content data from databases representing past experiences, compares emotional state differences, and iteratively refines content to maximize emotional engagement while preserving relevant user response information.
2Adaptability or versatility
If a systematic approach is implemented to refine content based on user emotional states using environment and user data, then emotional engagement is enhanced, but system complexity increases
Solution Approach 1:
The system segments the content delivery process into distinct functional modules: environment data acquisition, abstract content data acquisition, user body data measurement, emotional state determination, content selection based on past experiences, and content refinement. This segmentation allows each module to handle specific tasks independently, reducing overall system complexity while enabling personalized content delivery through coordinated operation of these modular components.
Solution Approach 2:
The information processing circuitry performs multiple functions within a single integrated system: it acquires environment data, processes user body data, determines emotional states, selects content from databases, and refines content delivery. This multi-functionality reduces the need for separate specialized systems, thereby managing complexity while achieving adaptive personalized content delivery across diverse scenarios.
3Adaptability or versatility
If multiple types of data are collected and processed (environment data, user body data, past experience data), then content personalization is improved, but information processing time increases
Solution Approach 1:
The system performs preliminary actions by acquiring abstract content data associated with environment data and storing user content data representing past experiences in databases before actual content delivery. This pre-processing and pre-organization of data enables rapid retrieval and matching during content delivery, reducing processing time while maintaining high levels of content personalization through efficient data access.
Solution Approach 2:
The system applies local quality by focusing processing efforts on specific relevant data subsets based on the current context: it selects content from past experiences that are locally relevant to the current environment and user state, rather than processing all available data uniformly. This targeted approach reduces information processing time while maintaining personalized content delivery quality by concentrating computational resources on the most relevant data.
Data Source
AI summary
An information processing circuitry for controlling a content provided to a user inside a cabin of an autonomous vehicle, wherein the information processing circuitry is configured to:obtain environment data;acquire abstract content data, representing abstract content, being associated with the obtained environment data;measure initial user body data of the user and determine, based on the measured initial user body data, an initial emotional state of the user;determine and provide a first content, being associated with the abstract content, to the user;measure, in response to providing the first content to the user, first user body data of the user and determine, based on the measured first user body data, a first emotional state of the user; andif the initial emotional state and the first emotional state of the user are different:acquire user content data from a database, representing user content associated with a past user experience, being associated with the environment data, wherein the user content is associated with the first content,determine, based on a difference between the initial emotional state and the first emotional state of the user, a second content being associated with the user content and being associated with the first content,provide the second content to the user,measure, in response to providing the second content to the user, second user body data of the user and determine, based on the measured second user body data, a second emotional state of the user, andrefine, based on a difference between the first emotional state and the second emotional and a difference between the initial emotional state and the second emotional state, the second content provided to the user for increasing the difference between the initial emotional state and the second emotional state of the user.