Interactive Vehicle Interface for Autonomous Decision Transparency
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Solution Overview
Problem
Conventional autonomous machines lack effective user interaction, leading to user uncertainty about future actions and decisions, which decreases user confidence.
Innovation Solution
An interactive user interface is generated based on machine and user status information, allowing users to dynamically modify travel paths and interact with vehicle subsystems through a timeline, communications layer, and indications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous machines operate with limited user input, then automation level is improved, but user confidence and understanding of machine decisions deteriorate
Solution Approach 1:
The system implements feedback by publishing machine status information to a distributed network and generating interactive user interfaces that display future actions, current status, and decision bases. This allows users to receive continuous information about autonomous machine operations, maintaining confidence while preserving high automation levels.
Solution Approach 2:
The patent introduces an intermediary communication layer (distributed node system network and primary interface controller) that mediates between the autonomous machine's internal status and the user interface. This intermediary transforms raw machine data into comprehensible information for users without interfering with automated operations.
2Loss of information
If comprehensive machine status information is provided to users, then user confidence is improved, but interface complexity increases
Solution Approach 1:
The system segments machine status information into distinct categories (future actions, current status, decision bases) and presents them through separate interface elements. This segmentation organizes comprehensive information into manageable portions, reducing perceived complexity while maintaining completeness.
Solution Approach 2:
The patent adds a temporal dimension to the user interface by displaying information across different timeframes (future actions, current status). This dimensional organization helps users comprehend complex machine operations by contextualizing information temporally rather than presenting all data simultaneously.
Data Source
AI summary
Implementations described and claimed herein provide systems and methods for interaction between a user and a machine. In one implementation, machine status information for the machine is received at a dedicated machine component. The machine status information is published onto a distributed node system network of the machine. The machine status information is ingested at a primary interface controller, and an interactive user interface is generated using the primary interface controller. The interactive user interface is generated based on the machine status information. In some implementations, input is received from the user at the primary interface controller through the interactive user interface, and a corresponding action is delegated to one or more subsystems of the machine using the distributed node system network.