Wearable Gaze Feedback for Real-World Attention Redirection
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Solution Overview
Problem
Users of augmented reality/virtual reality devices often fail to focus on important real-world objects or events, leading to potential dangers such as accidents or violations, due to their attention being diverted from the captured view.
Innovation Solution
A wearable device that redirects user attention by determining gaze direction and surroundings using a forward-looking camera and eye-tracking sensors, and performs operations like audible notifications or display indicators to refocus the user on relevant objects or events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the user focuses on content displayed by the wearable device, then the user can access information and interact with the device, but the user's attention is diverted from the real-world surroundings, leading to potential safety issues
Solution Approach 1:
The system continuously monitors the user's gaze direction using eye-tracking sensors and compares it with the direction of important objects or events detected by the forward-looking camera. When the user's attention deviates from critical surroundings, the system provides feedback through audible notifications or display indicators to redirect the user's focus, thereby maintaining situational awareness while allowing device interaction.
Solution Approach 2:
The system detects and identifies important objects or events in the user's surroundings in advance using the forward-looking camera and image processing. By预先 identifying these critical elements and comparing them with the user's current gaze direction, the system can proactively alert the user before safety issues arise, rather than reacting after the user has already been distracted.
2Reliability
If the system continuously monitors user gaze and surroundings, then user safety can be improved, but the device complexity and computational requirements increase
Solution Approach 1:
The system divides the monitoring function into separate modules: eye-tracking sensors for gaze detection, forward-looking camera for surroundings capture, and a processing unit for comparing the two data streams. This segmentation allows each component to be optimized independently and simplifies the overall system architecture while maintaining comprehensive safety monitoring.
Solution Approach 2:
The processor acts as an intermediary that receives data from both the eye-tracking sensors and the forward-looking camera, compares the gaze direction with the detected surroundings, and determines whether user attention should be redirected. This intermediary approach centralizes the complex comparison logic in one unit, reducing the complexity burden on individual sensors and actuators.
3Reliability
If the system alerts the user when attention is diverted, then user focus on critical surroundings is improved, but the user experience may be disrupted by frequent notifications
Solution Approach 1:
The system applies different notification strategies based on the specific situation and the nature of the diverted attention. For minor distractions, the system may use subtle cues, while for critical safety issues, more prominent notifications are employed. This localized adjustment of notification intensity maintains user focus on important surroundings while minimizing unnecessary disruptions to the user experience.
Data Source
AI summary
A method including determining a gaze direction of a user of a wearable device, capturing an image using a forward-looking camera of the wearable device, detecting a surroundings of the user based on the image, determining whether or not the user is distracted based on the gaze direction and the surroundings, and in response to determining the user is distracted, causing an operation to be performed on the wearable device, the operation configured to cause the user to change the user's attention.