New research provides evidence that when men evaluate the physical size of female bodies, they look first at the torso, followed by the legs, and finally the arms. The findings also suggest that men have highly varied preferences for what makes a body attractive, even though they largely agree on what makes a body appear thin. The study was published in the Journal for Person-Oriented Research.
Psychological research on body image often treats the human form as a complete, unified shape rather than a collection of separate parts. This concept is known as a gestalt, a psychological term meaning that a person perceives a whole structure rather than just analyzing individual components. When a person looks at a female body, they tend to take in an overall impression of the shape rather than studying single limbs in isolation.
A widely studied aspect of this visual assessment is the male gaze. In psychological studies, the male gaze refers to the specific visual paths and focal points that heterosexual men use when observing female bodies. Research shows that this gaze often zeroes in on specific physical proportions that signal fertility and general health.
One of the most heavily researched visual cues is the waist-to-hip ratio. This measurement compares the circumference of the waist to the circumference of the hips. A lower waist-to-hip ratio creates an hourglass shape, which past studies suggest is highly attractive to male observers. The relationship between the bust, waist, and hips creates a reference point that helps an observer evaluate the rest of the body.
In visual psychology, a dominant shape like the hourglass acts as the central figure, while the arms and legs act as the background. Scientists wanted to understand if the width of these background limbs influences the perceived attractiveness of the central hourglass figure. They also wanted to see if they could separate two competing predictors of beauty: body weight and body shape.
The research team consisted of Revital Naor-Ziv, Yaarit Amram-Veitz, and Joseph Glicksohn from Bar-Ilan University in Israel. They designed a study to test whether they could map the exact hierarchical structure of how men visually process female body shapes. They intended to see if judgments about a body’s thinness would directly translate into judgments about its attractiveness.
The scientists recruited 64 male undergraduate students from a regional college to participate in the study. The participants ranged in age from 21 to 67 years old, with an average age of roughly 30. During one-on-one sessions in a classroom, an experimenter presented these men with printed cards featuring female body images.
To create the materials for the experiment, the scientists modified standard images from a well-known psychological tool called the Photographic Figure Rating Scale. They selected three base images representing a very thin body, a medium body, and a large body. These original images corresponded to actual Body Mass Index values of 14.72, 20.33, and 29.26, respectively. Body Mass Index is a standard medical calculation based on human height and weight.
The researchers used image editing software to isolate the torsos, legs, and arms of these three base images. By mixing and matching these isolated body parts, the team designed eight unique composite images. For example, one image featured a thin torso, medium legs, and large arms. Another image combined a large torso, large legs, and thin arms.
This mix-and-match approach resulted in body shapes that lacked standard anatomical proportions. The authors intentionally created these mismatched combinations to force the participants to prioritize certain body parts over others. They wanted to see what happens when a body presents conflicting visual information about its overall weight.
The participants completed two distinct rank-ordering tasks. In the first task, they arranged the eight image cards in order from the thinnest body shape to the largest body shape. In the second task, they sorted the same eight cards from the least attractive body shape to the most attractive body shape.
To avoid any sequence bias, the order of the tasks and the direction of the sorting were mixed up among the participants. The experimenter shuffled the physical cards before presenting them to the subjects. After a participant finished arranging a set, the experimenter photographed the final sequence for data analysis.
When analyzing the thinness rankings, the scientists used a mathematical technique that maps out complex choices on a two-dimensional grid to reveal hidden patterns. This analysis uncovered a highly consistent pattern across the male participants. The men structured their evaluations of body size in a strict hierarchy. They prioritized the torso first, the legs second, and the arms third.
The men almost universally identified the image with a thin torso, thin legs, and thin arms as the thinnest overall body shape. Their subsequent choices consistently featured a thin torso paired with slightly larger limbs. Once all the thin-torso images were ranked, the men moved on to the large-torso images, once again judging the leg size before the arm size.
The attractiveness rankings did not follow such an orderly pattern. Out of the 64 men who participated, the scientists recorded 62 completely different ranking profiles for attractiveness. This indicates a massive amount of individual variability in what the men found visually appealing. The order in which they ranked thinness did not predict the order in which they ranked attractiveness.
Despite this extreme variety in the middle rankings, the two extreme ends of the attractiveness scale showed some consistency. The participants generally agreed on which shapes were the least attractive. They assigned the lowest attractiveness scores to the two most extreme figures: the image with all thin parts and the image with all large parts.
The images ranked as the most attractive tended to feature a thin torso combined with medium legs and either thin or large arms. These specific combinations produced a low waist-to-hip ratio. This provides evidence that the men favored the classic hourglass shape, regardless of the size of the arms attached to that torso.
The mixed proportions of the composite images heavily complicated the middle rankings. For instance, an image with a thin torso but large arms presents conflicting visual information about the woman’s overall body weight. Because the body parts were incompatible, the men had to carve out their own individual paths to decide what features were most important for attractiveness.
The study has some limitations that are important to keep in mind. The sample size was restricted to 64 men from a single geographic region. This relatively small group may not represent the visual preferences of men from other cultural backgrounds or age demographics.
The study design required the researchers to limit the number of composite images to eight. If the team had created every single possible combination of thin, medium, and large parts for the torso, legs, and arms, the participants would have had to rank 27 different images. Sorting that many cards would be mentally exhausting and could negatively impact the accuracy of the data.
Another limitation relates to the fact that the composite images did not look perfectly natural due to their mismatched proportions. Future studies could use advanced computer-generated models to create more realistic bodies while still isolating specific limb sizes. This approach might help scientists better understand how conflicting visual information about body weight influences visual preferences.
The findings suggest new avenues for psychological exploration regarding how men evaluate competing visual cues. Future research could investigate how a man’s own body shape and size might influence his preferences for female body types. The vast array of attractiveness rankings found in this study suggests that the male gaze is highly variable.
The study, “The Male Gaze Explored: Ranking Thinness and Attractiveness of Female Body Shapes,” was authored by Revital Naor-Ziv, Yaarit Amram-Veitz, and Joseph Glicksohn.