The dimensionality of beauty 1 Qihan Wu ,Aenne A 2 ... · The dimensionality of beauty.18th Annual...

The dimensionality of beauty Qihan Wu1, Aenne A. Brielmann1, Mika S. Simoncelli3 & Denis G. Pelli1, 2

Is beauty one-dimensional?

Acknowledgements

References

ContactPlease contact qw686@nyu.edu for moreinformation.

We thank Larry Maloney, KaterinaMalakhova, Hortense Gimonet, Najib Majajand Mika Simoncelli for helpful comments.

It’s amazing that sucha simple model fits sowell. Beauty-differenceratings are well fit by aone-dimensional model.

Thus, human mean relative-beauty ratingsare consistent. This is animportant considerationfor the potential ofbeauty judgments tounderlie decision making.

Conclusion: A 1-Dmodel fits beautydifference ratingswell.

[1] Kurdi, B., Lozano, S., & Banaji, M. R. (2016). Introducing the Open Affective Standardized Image Set (OASIS). Behavior research methods, 1-14.

“Which is more beautiful,and by how much?”

14 images from OASIS [1] database,for which we have normative valenceand beauty ratings.

Stimuli

6 self-selected images (3 beautifuland 3 not beautiful).

Procedure

Our 1-D modelAre human mean relative-beauty judgments

consistent with representation of each object’s beautyby one number? That would mean that there is a linearbeauty scale line, and each object gets one point onthat line. If this is right, then participants’ mean relative-beauty judgments will never be contradictory.

All the possible pairs among 20 images were presented toeach participant twice for test-retest. Each participant did 380trials. For each trial, the participant chose which image was morebeautiful and indicated by how much on a scale from 1 to 9.

We hypothesize that the observer samples an estimateof beauty from a normal distribution.

For one observer looking at 20 images, our model has21 free parameters, one mean beauty rating per imageand one common variance (𝜎2). We found the values ofthe 21 parameters that maximize the likelihood of thebeauty-difference ratings.

We took halfof the data to fitthe model, andpredicted the rest.The averagecorrelation wasr = 0.76 (dashedline is the equalityline).

Test-retestdifferencesare small.Participantshad consistentbeauty-differenceratings.

Maximum likelihood estimation (MLE) fits well.

Difference rating

Participants are consistent.

Image Image

Citation

http://psych.nyu.edu/pelli/posters.html

Wu, Q., Brielmann, A. A., Simoncelli, M. S., & Pelli, D. G. The dimensionality of beauty.18th Annual Meeting of the Vision Sciences Society, St. Pete Beach, Florida, May 18-23, 2018.

Beauty difference rating

Beauty difference ratingchanges

3Stuyvesant High School, New York, NY, 102821Psychology & 2Neural Science, New York University, New York, NY 10003

The dimensionality of beauty 1 Qihan Wu ,Aenne A 2 ... · The dimensionality of beauty.18th Annual...

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