Vehicle Interaction Awareness System for Intent Recognition
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Solution Overview
Problem
Conventional Intelligent Personal Assistants for vehicles often misinterpret user intentions, leading to undesired actions, as they fail to distinguish between interactions directed at the vehicle and those intended for other passengers or external entities.
Innovation Solution
An assistance system with an interaction awareness component that analyzes gestures and sound data to determine whether a passenger's interaction is directed towards the vehicle or another entity, enabling accurate interaction planning and proactive engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional Intelligent Personal Assistants interpret user gestures and sound without interaction context, then the system can respond quickly to user inputs, but the system misinterprets user intentions and performs undesired actions
Solution Approach 1:
The system performs preliminary analysis of interaction context before executing the main function of interpreting user commands. The interaction awareness component continuously monitors and analyzes gestures, sound, and contextual information in advance, building a understanding of the interaction situation before the assistant needs to respond to user inputs
Solution Approach 2:
The patent introduces an interaction awareness component as an intermediary between the user and the Intelligent Personal Assistant. This mediator analyzes the interaction context and provides contextual information to the assistant, enabling accurate interpretation of user intentions without requiring the assistant itself to be overly complex
2Measurement precision
If the assistance system analyzes interaction context continuously, then the system can accurately distinguish interactions directed at the vehicle versus other entities, but the processing time and computational resources increase
Solution Approach 1:
The system applies partial analysis by focusing only on the most relevant interaction indicators for determining the interaction target. Rather than analyzing every possible aspect of the interaction context in equal detail, the system selectively processes the most discriminating features to identify whether the interaction is directed at the vehicle or another entity
Data Source
Figure 1

AI summary
The present disclosure relates to an assistance system for a vehicle. The assistance system includes one or more processors configured to receive data relating to gestures and/or sound of a passenger of the vehicle; analyze the data relating to the gestures and/or sound to determine whether an interaction of the passenger is directed towards the vehicle or another entity; and perform an interaction planning with the passenger based on the analysis.