Contextual Content Adaptation for Autonomous Vehicle Passenger Engagement
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Solution Overview
Problem
Service providers and vehicle manufacturers face challenges in effectively utilizing the time spent during autonomous vehicle trips by passengers, as there is a need to create a seamless experience that leverages the context of the destination, enhancing passenger engagement and preparation before arrival.
Innovation Solution
A computer-implemented method and apparatus that retrieves context-related content associated with a vehicle's destination, adapts it for presentation devices within the vehicle, and initiates a simulation of the destination environment as the vehicle approaches, using a presentation platform with modules for context determination, content retrieval, adaptation, and presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If contextual content is retrieved and presented to passengers during autonomous vehicle trips, then passenger engagement and preparation for destination is enhanced, but device complexity and system requirements increase
Solution Approach 1:
The system is divided into distinct functional modules: a context determination module that identifies destination context, a content retrieval module that fetches relevant content, an adaptation module that formats content for different devices, and a presentation module that displays content. This segmentation allows each module to specialize in one aspect of the complex task, making the overall system more manageable and adaptable.
Solution Approach 2:
The system performs content retrieval and adaptation in advance during the vehicle trip, before the passenger arrives at the destination. By preparing contextual content beforehand (such as information about the destination, simulated environment, or preparation materials), the system enhances passenger engagement without adding complexity to the final presentation moment.
2Adaptability or versatility
If contextual content is adapted for multiple presentation devices, then compatibility and user experience are improved, but processing time and computational resources increase
Solution Approach 1:
The content adaptation process is performed in advance during the vehicle trip, converting and formatting content for multiple presentation devices before it is needed. This preliminary processing ensures that when the passenger arrives at the destination, the content is already prepared and ready for immediate presentation, eliminating delays.
Solution Approach 2:
The adaptation module creates universally compatible content formats that can be presented across multiple device types (such as different displays, audio systems, or interaction interfaces). By designing a universal adaptation layer, the system avoids the need for separate processing pipelines for each device, reducing overall processing time while maintaining broad compatibility.
3Adaptability or versatility
If immersive simulation of destination context is provided during the trip, then passenger preparation and engagement are enhanced, but energy consumption and computational load increase
Solution Approach 1:
The system provides partial immersion by selecting and presenting only the most relevant contextual content about the destination during the trip, rather than attempting to fully simulate the entire destination environment. This partial action approach delivers sufficient passenger preparation and engagement while keeping computational load and energy consumption at manageable levels.
Solution Approach 2:
The immersive simulation and contextual presentation occur during the vehicle trip, utilizing the otherwise idle time before destination arrival. By performing these computationally intensive tasks during the trip rather than at the moment of arrival, the system distributes energy consumption over time and makes use of available computational resources without creating peaks that would overwhelm the system.
Data Source
AI summary
An approach is provided for presenting contextual content for an end-to-end seamless experience during an autonomous vehicle trip. The approach, for example, involves retrieving content related to at least one context associated with a destination of a vehicle. The approach also involves adapting the content to one or more presentation devices in the vehicle. The approach further involves initiating a presentation of the adapted content on the one or more presentation devices to provide a simulation of the at least one context associated with the destination as the vehicle travels towards the destination.