Eye-Tracking Authorization Control for Read Prompt Verification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing electronic devices often require user authorization without ensuring that the user has read or viewed associated textual information, leading to potential data loss, frustration, and resource wastage due to inadvertent actions.
Innovation Solution
Implementing gaze-based control systems that use eye-tracking data to confirm user interaction with textual information before allowing authorization actions, such as deleting data or accessing personal information, and adjusting device operations based on gaze patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If user authorization is required before actions, then data loss is prevented, but user frustration increases due to inadvertent actions
Solution Approach 1:
The system uses eye tracking to provide feedback about user attention state. When the user's gaze indicates they are not paying attention to the authorization prompt, the system detects this state and adjusts the authorization requirement accordingly, either removing it or providing alternative confirmation methods.
Solution Approach 2:
The system monitors the user's own gaze patterns to automatically determine when authorization should be required or waived. The eye tracking system serves itself by using the user's natural eye movements as the input signal for making authorization decisions.
2Productivity
If eye tracking is implemented to monitor user gaze, then user interaction efficiency is enhanced, but device complexity increases
Solution Approach 1:
The eye tracking system is integrated into existing device components (cameras, processors) that already serve other functions. The same camera hardware used for photos or video calls is also used for eye tracking, making the system multi-functional without requiring entirely separate components.
Solution Approach 2:
The patent uses software algorithms and processing circuits as intermediaries to translate raw eye tracking data into meaningful authorization decisions. This intermediary layer handles the complexity of gaze pattern analysis, keeping the hardware relatively simple while achieving sophisticated user intent recognition.
3Loss of information
If authorization prompts are displayed, then user awareness is improved, but time consumption increases due to reading requirements
Solution Approach 1:
The authorization requirement dynamically adjusts based on the user's gaze behavior. When the system detects that the user has been looking at the screen for an extended period without focusing on the authorization prompt, it adapts by either simplifying the prompt or providing alternative confirmation methods, making the process faster while maintaining awareness.
Solution Approach 2:
The system performs preliminary gaze analysis to predict whether the user will read the authorization prompt before actually displaying it. If the user's gaze pattern suggests they are likely to miss it, the system prepares alternative authorization methods in advance, reducing the time users spend on unnecessary reading.
Data Source
AI summary
Aspects of the subject technology relate to gaze-based control of an electronic device. The gaze-based control can include enabling an option to provide user authorization when it is determined that the user has viewed and/or read text associated with a request for the user authorization. The gaze-based control can also include modifying a user interface or a user interface element based on user views and/or reads. The gaze-based control can be based on determining whether a user has viewed and/or read an electronic document and/or a physical document.


