Ride-Hail Passenger Personalization for Driverless Service Gaps
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Solution Overview
Problem
Autonomous vehicles (AVs) lack personal interaction, leading to a sense of disconnect for passengers, especially in ride-hail services where human drivers are absent, making it difficult to build a personal relationship and enhance brand loyalty.
Innovation Solution
Implementing a personalized rider service system that assigns a unique passenger identifier (UPID) for each passenger, allowing for personalized responses based on their metadata, including preferences and past interactions, to provide enhanced service and human-like interaction through a dedicated rider service representative or team.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous vehicles operate without human drivers, then automation and efficiency are improved, but personal interaction and passenger connection deteriorate
Solution Approach 1:
The patent introduces an onboard assistant as an intermediary between the autonomous vehicle system and the passenger. This assistant, accessible through a user interface, provides personalized interaction by retrieving and presenting passenger metadata, preferences, and trip information. The intermediary bridges the gap left by removing the human driver, maintaining ease of operation through personal connection while preserving full automation.
2Adaptability or versatility
If personalized service is implemented using passenger metadata, then passenger satisfaction and brand loyalty are improved, but system complexity increases
Solution Approach 1:
The system performs preliminary actions by collecting and storing passenger metadata, preferences, and trip information in advance of the actual service delivery. This pre-processing of personalization data allows the onboard assistant to provide tailored responses without requiring complex real-time decision-making, thereby reducing operational system complexity while maintaining high adaptability and personalized service quality.
3Ease of operation
If an onboard assistant provides personalized responses, then passenger engagement is improved, but information processing requirements increase
Solution Approach 1:
The system extracts only the most relevant passenger metadata and trip information needed for personalized interaction, rather than processing all available data. The onboard assistant selectively retrieves specific preferences, past trip patterns, and contextual information necessary for the current interaction, reducing information processing requirements while maintaining high passenger engagement through personalized responses.
Data Source
AI summary
There is disclosed a method of providing rider service for an autonomous vehicle (AV) system, including operating an AV to provide a trip to a passenger; associating the passenger with a unique passenger identifier (UPID); receiving passenger metadata for the passenger according to the UPID; and responding to a rider service instance, comprising customizing the response according to the UPID and the passenger metadata.