Driver Conferencing UI Adaptation Across Autonomous Driving Modes
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Solution Overview
Problem
Existing video conferencing systems in autonomous vehicles are limited, as they only allow video conferencing while the vehicle is in autonomous driving mode, and do not provide flexibility for drivers to conduct video conferences while driving manually or when the vehicle is not parked.
Innovation Solution
The system adapts the conferencing user interface based on the mode of operation of the autonomous vehicle, allowing video conferencing in both autonomous and non-autonomous modes by configuring different adaptations for the user interface, such as switching between live video and still images, and providing bookmarking and rerouting options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video conferencing is allowed only in autonomous driving mode, then safety is improved, but flexibility and usability deteriorate
Solution Approach 1:
The system dynamically adapts the user interface based on the detected driving mode. When autonomous mode is detected, full video conferencing features are enabled. When manual driving mode is detected, the interface transitions to audio-only mode with visual distractions minimized. This dynamic adaptation resolves the contradiction by allowing flexibility in autonomous mode while ensuring safety in manual mode.
Solution Approach 2:
The system changes key parameters of the conferencing experience based on driving mode: in autonomous mode, video quality, resolution, and interactivity are maximized; in manual driving mode, video is replaced with still images or avatars, and audio processing is enhanced. These parameter changes enable the system to provide appropriate flexibility while maintaining safety constraints.
2Adaptability or versatility
If video conferencing features are enabled in manual driving mode, then flexibility is improved, but safety deteriorates due to visual distractions
Solution Approach 1:
The system extracts and removes the harmful visual video feed element when manual driving mode is detected, retaining only the audio conferencing functionality. This extraction eliminates visual distractions that would compromise driving safety while preserving the core communication capability, thus resolving the contradiction between flexibility and safety.
Solution Approach 2:
Instead of displaying live video feeds during manual driving, the system uses still images or avatar representations as copies of the video content. This allows participants to see visual representations without the dynamic changes of live video that could cause distraction, enabling flexibility while reducing harmful visual factors.
3Ease of operation
If the user interface is adapted based on driving mode, then usability is improved, but device complexity increases
Solution Approach 1:
The system automatically detects the driving mode through integration with the vehicle's existing mode indicators and autonomously adapts the conferencing interface without requiring user input or manual configuration. This self-service approach improves usability by eliminating the need for users to manually switch settings while the complexity is managed through automated detection and adaptation logic.
Data Source
AI summary
Systems and methods for configuring video conferencing adaptations for a user interface (UI) of a driver's conferencing device based on a driving mode of an autonomous vehicle are described. A mode of operation of the autonomous vehicle when a video conferencing call is or will be in progress is determined. A route taken by the autonomous vehicle may include some segments that allow an autonomous mode of driving while other segments may not. Different adaptations may be configured for the driver and/or non-driver's UI for their conference devices based on the determined mode of operation such that advanced call feature capability may be provided while ensuring driver safety while driving. These adaptations include displaying still images instead of live video of participants, presenting video conferencing scheduling or alert options based on mode of operation, and an option to bookmark a point in the video conference.