Autonomous Vehicle Feedback System for Passenger Trust
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Solution Overview
Problem
Autonomous vehicles lack visual, audio, and haptic cues, leading to a lack of trust and comfort among human passengers due to unclear decision-making processes, which hinders their adoption.
Innovation Solution
Implementing a system that provides visual, audio, and haptic feedback to passengers by using sensors and modules within the autonomous vehicle to detect events and communicate the reasons and actions taken, such as changes in route due to obstacles or collisions, through spoken statements, visual displays, and haptic notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous vehicles operate without visual, audio, or haptic cues, then automation efficiency is improved, but passenger trust and comfort deteriorate
Solution Approach 1:
The patent implements feedback mechanisms by providing visual, audio, and haptic cues to passengers about the autonomous vehicle's decisions and actions. The system communicates routing changes, maneuvering decisions, and detected events through multiple sensory channels, allowing passengers to understand and trust the automation's behavior without reducing the extent of automation.
2Reliability
If autonomous vehicles provide comprehensive visual, audio, and haptic cues, then passenger trust is improved, but device complexity increases
Solution Approach 1:
The patent applies universality by using a multi-functional communication system that provides visual, audio, and haptic cues through a unified architecture. The same event detection and decision-making system triggers multiple types of feedback through different output devices, allowing the system to convey information through multiple channels without proportionally increasing complexity.
Data Source
AI summary
Techniques for communicating feedback to passengers of autonomous vehicles regarding reasons for actions taken by autonomous vehicles to build trust with passengers are described herein. For instance, an autonomous vehicle may associate various objects with symbols and/or predicates while traversing a path to evaluate Linear Temporal Logic (LTL) formulae. Events along the path may require the autonomous vehicle to perform an action. The vehicle may determine to communicate the event and/or action to the passenger to provide a reason as to why the autonomous vehicle took the action, based on evaluation of the LTL formulae. In some examples, the autonomous vehicle may communicate with passengers via one or more of visual cues, auditory cues, and/or haptic cues. In this way, autonomous vehicles may build trust with passengers by reassuring and informing passengers of reasons for taking actions either before, during, or after the action is taken.