Interface Reconfiguration for Eye-Tracking Video Engagement
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Solution Overview
Problem
Participants in video conferences often appear disengaged due to difficulty in maintaining eye contact with the camera, as they perform tasks like taking notes or viewing other participants, leading to unnatural digital alterations or the need for multiple cameras, which are costly and not universally supported.
Innovation Solution
An interface reconfiguration system that uses an image capture device to determine if the user's eyes are directed away from the camera and rearranges the user interface to make it appear as though they are looking at the camera, without requiring additional hardware or specialized software, by moving relevant interface elements closer to the camera's location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If digital alterations are used to make users appear to look at the camera, then eye contact appearance is improved, but naturalness and authenticity deteriorate
Solution Approach 1:
Instead of altering the user's image to simulate eye contact, the system inverts the approach by dynamically repositioning interface elements (chat, notifications, controls) to align with the user's actual gaze direction. This allows the user to naturally look away from the camera while the interface adapts to maintain the appearance of engagement.
Solution Approach 2:
The system introduces an intermediary mechanism (eye tracking technology) that detects the user's gaze direction and uses this information to mediate the positioning of interface elements. This intermediary enables natural eye movements while maintaining the illusion of camera engagement through intelligent interface adaptation.
2Reliability
If multiple cameras are used to capture user views from different angles, then video feed quality is improved, but hardware cost and complexity increase
Solution Approach 1:
The system uses the existing single camera and leverages eye tracking technology to extract gaze direction information. Instead of requiring multiple cameras to capture different views, the system makes the existing camera serve multiple purposes by analyzing eye position data to determine where the user is looking, thereby inferring the effective view direction.
Solution Approach 2:
The system changes the parameter being measured from camera position to eye gaze direction. By tracking the angle and position of the user's eyes relative to the camera, the system can determine the effective viewing direction without physically moving or multiplying the camera hardware.
3Adaptability or versatility
If specialized software is used to handle multiple cameras, then video conferencing capability is improved, but software compatibility and accessibility deteriorate
Solution Approach 1:
The system makes a single camera perform multiple functions by combining it with eye tracking technology. The same camera that captures the video feed also provides gaze direction data through eye position analysis, eliminating the need for specialized multi-camera software and maintaining compatibility with standard video conferencing platforms.
4Measurement precision
If users look at the camera continuously, then eye contact appearance is improved, but ability to perform tasks (taking notes, viewing materials) deteriorates
Solution Approach 1:
The system introduces dynamic adaptability to the interface by continuously monitoring eye gaze direction and repositioning interface elements in real-time. This allows the interface to be static when the user looks at the camera and dynamic when the user needs to reference materials or take notes, seamlessly adapting to the user's task requirements.
Solution Approach 2:
The system performs preliminary positioning of interface elements based on predicted user needs. By analyzing gaze patterns and task context, the system proactively positions relevant information (chat, notifications, controls) in the user's peripheral or focal vision before the user needs to access them, reducing the need for excessive eye movements.
Data Source
AI summary
One embodiment provides a method, the method including: capturing, at an interface reconfiguration system and using an image capture device, video of a user, wherein the video is transmitted to an information handling device of at least one other user; determining, using the interface reconfiguration system, eyes of the user are directed away from the image capture device and a portion of a user interface associated with a direction of the eyes of the user; and rearranging, responsive to the determining, at least the portion of the user interface displayed on a display device operatively coupled to the image capture device. Other aspects are claimed and described.