AR Display Superimposition Region for Affective Perception Regulation
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Solution Overview
Problem
Existing augmented reality and video conferencing systems fail to effectively regulate affective visual information in the field of view, which is crucial for managing empathy and stress levels, particularly in individuals with ADHD and those experiencing social anxiety.
Innovation Solution
A method and device using facial recognition to compute a superimposition region on a display, where alternative image data is overlaid on the field of view, adjusting transparency and image characteristics to regulate affective perception, activated by biofeedback sensors to address stress levels and emotional responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If additional information is inserted in the field of vision using augmented reality devices, then information augmentation is improved, but affective perception regulation deteriorates
Solution Approach 1:
The patent applies local quality by selectively modifying only specific regions of the visual field (superimposition regions) rather than the entire field of view. The processing unit identifies faces and determines superimposition regions based on eye and mouth positions, then applies alternative image data only to these specific areas. This allows information augmentation in targeted zones while preserving natural affective perception in other regions, thus resolving the contradiction between information augmentation and affective perception regulation.
Solution Approach 2:
The patent segments the visual field into multiple regions: superimposition regions where alternative image data is applied, and non-superimposition regions where the original visual information remains unchanged. The processing unit divides the field of view based on detected facial features, creating distinct zones with different information densities. This segmentation enables selective information augmentation without overwhelming the user's affective perception system.
2Adaptability or versatility
If the field of vision is superimposed with alternative image data, then affective information is modified, but natural perception is lost
Solution Approach 1:
The patent applies partial action by superimposing alternative image data only in specific superimposition regions rather than across the entire field of view. The processing unit calculates precise regions based on facial feature positions and applies modifications only where needed for affective perception regulation. This partial application preserves natural visual information in non-superimposition areas, maintaining a balance between affective adaptation and natural perception.
Solution Approach 2:
The patent uses an intermediary approach by combining original image data with alternative image data in superimposition regions. Rather than completely replacing natural visual information, the system overlays alternative data that modifies affective perception while allowing underlying natural information to remain partially visible or accessible. This intermediary state enables both affective regulation and preservation of natural perception.
3Adaptability or versatility
If facial recognition and superimposition processing is implemented, then affective visual information is regulated, but device complexity increases
Solution Approach 1:
The patent implements multi-functionality by designing the processing unit to perform multiple tasks: facial recognition, eye position detection, mouth position detection, superimposition region calculation, and alternative image data application. Rather than requiring separate dedicated components for each function, a single processing unit handles all operations, reducing overall device complexity while maintaining comprehensive affective perception regulation capabilities.
Data Source
AI summary
Disclosed is to a method and to a device for modifying the affective visual information in the field of vision of a user of the device. The device includes at least one image sensor and at least one display. The method includes the following steps: Detecting an image in the field of vision of the device using an image sensor, carrying out a face recognition using the detected image for recognizing at least one face, determining the position of the eyes and mouth of the detected face, calculating a superimposition area in the display of the device in accordance with the determined positions of the eyes and mouth, superimposing the field of vision of a user of the device with alternative image data in the calculated superimposition of the display.