XR Interface Mechanisms for Prediction Error Recovery
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Solution Overview
Problem
Extended reality systems face challenges in user interaction and error recovery from inaccurate predictions made by virtual assistants, leading to user frustration and limited usability due to the limitations of hand gestures and controllers.
Innovation Solution
An extended reality system with a head-mounted device that includes sensors and processors to collect user input data, extract features, predict recommendations, and generate a user interface with graphical elements to allow users to modify or generate new recommendations, thereby facilitating error recovery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If hand gestures are used for interaction in extended reality, then controller limitations are overcome and hands-free operation is achieved, but user fatigue increases and arms must be kept extended within sensor range
Solution Approach 1:
The system uses eye tracking to detect user gaze direction and automatically determines which virtual object is being selected, eliminating the need for users to physically point or gesture. The system serves itself by using the user's natural line of sight as the selection mechanism, rather than requiring active physical input.
Solution Approach 2:
The patent replaces the mechanical hand gesture system with an optical sensing system using eye tracking. Instead of detecting physical arm movements and hand positions, the system uses cameras to track eye movements and gaze direction, substituting mechanical interaction with optical detection.
2Productivity
If virtual assistants make automated predictions for user tasks, then interaction speed increases and user burden is reduced, but prediction accuracy may be insufficient causing user frustration
Solution Approach 1:
The system provides feedback by detecting user eye gaze and attention to determine whether the predicted action or selected object is correct. If the user looks at or interacts with a different object than predicted, the system receives feedback that the prediction was inaccurate and can adjust its prediction model accordingly.
Solution Approach 2:
The prediction system is dynamic and adapts based on accumulated feedback from user interactions. The system continuously refines its prediction accuracy by learning from patterns in user behavior, making the prediction capability improve over time rather than remaining static.
3Ease of operation
If eye tracking is used for object selection in extended reality, then hands-free operation is enhanced and natural interaction is achieved, but system complexity increases and processing requirements increase
Solution Approach 1:
The eye tracking system serves multiple functions beyond just object selection, including determining user attention, validating predictions, and controlling virtual assistant behavior. This multi-functionality justifies the added complexity by providing several interaction benefits from a single sensing mechanism.
Data Source
AI summary
The present disclosure relates to techniques for using interface mechanisms to recover from inaccurate predictions. One example method includes obtaining input data including user activity data and determining a recommendation for a user. The recommendation is based on the input data and historical activity data of a plurality of users. The method includes generating a user interface (UI) including selectable UI elements. In accordance with a determination that the recommendation satisfies a first confidence threshold, the selectable UI elements includes a first set of selectable UI elements. Alternatively, in accordance with a determination that the recommendation satisfies a second confidence threshold, the selectable UI elements includes a second set of selectable UI elements. The method further includes causing a display of the head-mounted device to present the UI and the recommendation and, at least, the first set of selectable UI elements or the second set of selectable UI elements.