Why Masks Make You Look More Attractive: Psychological and Mathematical Insights

In recent years masks have become a common daily item, and many people appear more attractive when wearing one, especially at first sight.

Psychological Model: Mystery and Symmetry

Mystery : Wearing a mask hides part of the face, creating uncertainty that sparks curiosity and leads observers to fill in the missing details with more favorable impressions, a phenomenon known as the "mystery effect".

Symmetry : The mask conceals asymmetrical features around the nose and mouth, allowing the exposed eyes and forehead to dominate, which enhances perceived facial symmetry and overall attractiveness.

Reduced negative features : Masks also hide potentially unattractive traits such as uneven teeth, chapped lips, or skin blemishes, resulting in a cleaner appearance.

Mathematical Model

Model Assumptions

We assume a person's attractiveness can be expressed as a weighted sum of facial feature scores: eyes (E), nose (N), mouth (M), and skin (S).

Each feature contributes differently, so we assign weights using the Analytic Hierarchy Process (AHP). The resulting weights are:

Eyes (E): 0.466

Nose (N): 0.161

Mouth (M): 0.096

Skin (S): 0.277

Initial Attractiveness Score Model

The initial score without a mask is the weighted sum: Score_initial = 0.466·E + 0.161·N + 0.096·M + 0.277·S .

Mask-wearing Attractiveness Score Model

When a mask covers the nose and mouth, their contributions are reduced. The weights of N and M are redistributed to the uncovered features (E and S), and an averaging effect is introduced to reflect the overall facial appearance becoming more uniform.

New weights after redistribution (example values) lead to a revised score formula that incorporates the average‑effect factor.

Calculation Example

Assuming example feature scores for E, N, M, and S, we compute the initial score and then the new score after applying the mask‑induced weight redistribution and averaging effect.

The model shows the attractiveness score increases from 7.113 to 7.266, illustrating the combined impact of weight redistribution and the averaging effect.

Combining the psychological insights (mystery, symmetry, reduced negative traits) with the mathematical model provides a comprehensive explanation for why masks can make people appear more attractive, with potential applications in makeup, photography, and image processing.