Interactive Content Modification Using Eye-in-Head Radius Profiles
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Solution Overview
Problem
Existing camera-based tracking and interaction methods for processing devices, such as those used in virtual reality, can be uncomfortable due to the need for extensive head and eye motion, which may lead to user fatigue and inconvenience, especially when users have limited mobility or are interacting with content that requires frequent or unnatural movements.
Innovation Solution
A system and method that generates a user profile based on individual preferences for head and eye motion, using a calibration process to characterize how users naturally move their head and eyes to view different areas of a display, allowing for personalized adjustment of interactive content and input methods to reduce accidental selections and enhance user comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If camera-based tracking and interaction methods are used to enable natural input, then user convenience and intuitiveness are improved, but user fatigue and discomfort increase due to extensive head and eye motion requirements
Solution Approach 1:
The system changes the parameters of interaction by using a profile to determine optimal head and eye motion characteristics. Instead of requiring extensive motion, the system adjusts interaction parameters based on individual user profiles to reduce fatigue while maintaining convenience
Solution Approach 2:
The system performs self-calibration by automatically capturing and analyzing user head and eye motion during an initial calibration period. This self-service approach builds individualized profiles without requiring manual input from the user, enabling personalized interaction parameters to be established automatically
2Adaptability or versatility
If gesture-based inputs are used to avoid dedicated input devices, then cost and versatility are improved, but precision and reliability of input decrease due to difficulty in accurately capturing intended gestures
Solution Approach 1:
The system uses feedback from continuous tracking of head and eye motion to refine gesture recognition. By monitoring the user's actual motion patterns and comparing them against the calibrated profile, the system can accurately determine intended interactions even in the absence of dedicated input devices
Solution Approach 2:
The system performs preliminary calibration to establish the user's characteristic head and eye motion patterns before actual interaction occurs. This preliminary action creates a reference profile that enables accurate gesture recognition during subsequent use, eliminating the need for dedicated input devices while maintaining precision
3Ease of operation
If interactive elements are placed in centrally visible areas to improve accessibility, then ease of operation is improved, but accidental selections increase due to unintentional gaze or motion in those areas
Solution Approach 1:
The system applies different quality characteristics to different areas of the display based on user profile analysis. By understanding which areas are most likely to cause accidental selections versus intentional interactions, the system adjusts the interaction thresholds and requirements locally across the display area
Solution Approach 2:
The system dynamically adjusts interaction parameters based on the user's current head and eye position relative to interactive elements. Instead of using fixed thresholds, the system continuously adapts the selection criteria based on real-time tracking data and the user's calibrated motion characteristics, preventing accidental selections while maintaining accessibility
Data Source
AI summary
A processing system for modifying interactive content includes: a user profile obtaining unit operable to obtain the user profile including information about an eye-in-head radius, the eye-in-head radius representing an amount of a display viewable by a user without moving their head, an interactive element identification unit operable to identify interactive elements in displayed content, and to identify selection areas associated with each identified interactive element, and a content modification unit operable to modify interactions between a user and one or more of the identified interactive elements in dependence upon the obtained user profile, the content modification unit is operable to locate one or more of the identified interactive elements in dependence on the eye-in-head radius, and the content modification unit is further operable to determine an overlap threshold between the eye-in-head radius and each selection area in order for an interaction with a corresponding interactive element to be performed.