関連する実験動画

Updated: Feb 5, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

人工知能生成モデルにおける一般観察者による耳のサイズと位置のバリエーションの評価

Kai C Kokesh¹, Kathleen Sie², Randall Bly²

¹School of Medicine, University of Washington, Seattle, Washington, USA.

Facial plastic surgery & aesthetic medicine

|February 4, 2026

要旨

Background:

Auricular asymmetry affects facial aesthetics; yet, the degree of asymmetry discernible by a casual observer remains poorly defined.

Objective:

To measure the casual observer's perception of auricular size, angulation, protrusion, and vertical position.

Methods:

Artificial intelligence-generated facial images were utilized and unilateral variations created in (1) size, (2) angulation, (3) protrusion, and (4) vertical position. A total of 200 responders reviewed 46 images, rating the ear appearance on a Likert scale of 0-10.

Results:

Causal observers rated a ≥10% change in size significantly different than baseline (p < 0.001). Retrograde angulation ≥10° and anterograde angulation at 20° were rated significantly different than baseline (p < 0.001). Positive asymmetrical protrusion was rated more severely than negative asymmetrical protrusion. The vertical position difference was rated least critically on average compared with baseline.

Conclusion:

Casual observers more critically perceived auricular size asymmetry and retrograde angulation when compared with protrusion and vertical position asymmetry.

キーワード:

顔の美的知覚科学形成外科学

さらに関連する動画

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

関連する概念動画

What is Variation?

What is Variation?

Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...

Position-effect Variegation

Position-effect Variegation

In 1928, a German botanist Emil Heitz observed the moss nuclei with a DNA binding dye. He observed that while some chromatin regions decondense and spread out in the interphase nucleus, others do not. He termed them euchromatin and heterochromatin, respectively. He proposed that the heterochromatin regions reflect a functionally inactive state of the genome. It was later confirmed that heterochromatin is transcriptionally repressed, and euchromatin is transcriptionally active chromatin.

Intelligence

Intelligence

The term "intelligence" is complex because it refers to both behavior and individuals, and its interpretation varies across cultures. European Americans tend to link intelligence with reasoning and cognitive skills, while in Kenya, it is tied to responsible participation in family and social life. In Uganda, intelligence is seen as the ability to know the right actions and carry them out effectively, while the Iatmul people of Papua New Guinea associate it with the capacity to remember...

Variation

Variation

An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...

Naturalistic Observations

Naturalistic Observations

If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...

Conservative Site-specific Recombination and Phase Variation

Conservative Site-specific Recombination and Phase Variation

Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...