Latent Space Model for Unnoticed Display Content Transformation
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Solution Overview
Problem
Existing technologies fail to change display contents without being noticed by the user, as the correction of display objects can be conspicuous depending on the degree of change.
Innovation Solution
An information processing apparatus that acquires data related to a visual object and outputs data or cognitive parameters based on a model representing the relationship between distance in a latent space and the degree of recognition, allowing for seamless changes in display contents by switching between input and change objects within the latent space, utilizing visual change blindness to avoid user detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the display object is corrected to change appearance, then the user experience is improved through decoration or transformation, but the correction becomes conspicuous and noticeable to the user
Solution Approach 1:
The correction process is divided into multiple discrete correction objects, each representing a partial transformation step. Instead of applying one large correction that would be noticeable, the system segments the overall correction into several smaller corrections that can be applied sequentially, making each individual change less detectable by the user.
Solution Approach 2:
The system dynamically adjusts the correction amount and timing based on user interaction states. When the user is actively watching the display object, corrections are suppressed or minimized. When the user is not watching (detected through inactivity or gaze tracking), corrections are applied or accelerated. This dynamic adaptation allows the display to transform while maintaining user unawareness.
2Ease of operation
If the correction is applied when the user is not watching, then the correction can be made without immediate detection, but the correction timing and frequency must be precisely controlled to avoid notice
Solution Approach 1:
The system performs preliminary actions by pre-processing correction data and preparing correction objects in advance during periods when user attention is not focused on the display. This allows the corrections to be ready and can be applied smoothly when the appropriate timing is detected, reducing the actual correction application delay while maintaining user unawareness.
Solution Approach 2:
The system employs periodic checking of user attention state and applies corrections in periodic intervals rather than continuously. By monitoring user engagement at regular intervals and applying corrections during detected idle periods, the system balances the need for timely corrections with the requirement to avoid user detection, effectively managing both correction timing and delay.
Data Source
AI summary
An information processing apparatus according to an embodiment of the present technology includes an acquisition unit and an output unit. The acquisition unit acquires data relating to an input object as a visual object. The output unit outputs, on the basis of a model representing a relationship between a distance in a latent space relating to the visual object and a degree of recognition with respect to a change of the visual object based on the distance, at least one of data relating to at least one change object in which the input object is changed in the latent space in accordance with instruction information including an instruction value relating to the degree of recognition, or a cognitive parameter representing the degree of recognition with respect to a change from the input object to a reference object corresponding to the input object.