Head-Mounted Display Saliency Control for Mental Obstacle Avoidance
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Solution Overview
Problem
Existing cross reality technologies fail to quickly avoid visual recognition of mental obstacles in a real space, such as objects causing negative emotions, without user intervention.
Innovation Solution
A head-mounted display system that includes an image sensor, display, and processing units to capture and process user information, reducing the saliency of real objects in the user's line of sight based on user state, using techniques like virtual object superimposition and diminished reality to minimize mental obstacles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual specification of unnecessary objects is required, then processing precision is improved, but productivity deteriorates
Solution Approach 1:
The system automatically detects and processes mental obstacles without requiring user specification. The head-mounted display captures images, identifies objects that may cause negative emotions, and applies image processing autonomously, allowing the system to serve itself rather than relying on manual user input.
Solution Approach 2:
The system uses user information (emotional state, attention level) as feedback to automatically adjust image processing. By monitoring whether the user is paying attention to an object and their emotional response, the system dynamically decides when and how to reduce saliency, creating a closed-loop control system that responds to user needs in real-time.
2Object-affected harmful factors
If real objects are replaced with virtual objects, then harmful factors are reduced, but device complexity increases
Solution Approach 1:
The system applies image processing selectively only to specific regions containing mental obstacles, rather than processing the entire image. By identifying the precise location and boundaries of problematic objects and applying saliency reduction only to those regions, the system minimizes processing complexity while effectively reducing psychological burden.
Solution Approach 2:
The system changes image parameters (brightness, contrast, saturation) of specific objects to reduce their saliency rather than completely replacing them with virtual objects. This approach reduces harmful factors by making problematic objects less visually prominent while keeping the processing relatively simple and maintaining scene authenticity.
3Object-affected harmful factors
If image processing is applied to reduce saliency, then psychological burden is reduced, but loss of information increases
Solution Approach 1:
The system applies partial image processing that reduces saliency of problematic objects without completely removing or obscuring them. By using subtle adjustments to brightness, contrast, or saturation rather than complete occlusion, the system reduces negative emotions while preserving enough visual information to maintain scene completeness and spatial awareness.
Data Source
AI summary
A head mounted display according to the present invention includes: an image sensor configured to capture an image of a real space; a display configured to display the image of the real space captured by the image sensor so as to be visually recognized by a user; and at least one memory and at least one processor which function as: an acquiring unit configured to acquire user information on a state of the user; and a control unit configured to control display on the display so as to reduce saliency of a first object, which is a real object to which a line-of-sight of the user is directed, or of a real object other than the first object, on a basis of the user information.


