English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Absolute beauty ratings predict mean relative beauty ratings

Wu, Q., Brielmann, A., & Pelli, D. (2019). Absolute beauty ratings predict mean relative beauty ratings. Journal of Vision, 19(10), 98b.

Item is

Basic

show hide
Genre: Meeting Abstract

Files

show Files

Locators

show
hide
Description:
-

Creators

show
hide
 Creators:
Wu, Q, Author
Brielmann, AA1, Author              
Pelli, DG, Author
Affiliations:
1External Organizations, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: Can you compare the beauty of the Mona Lisa to Starry Night? Would your beauty ratings of single images predict your rating of their relative beauty? Twenty-five participants were tested with 14 OASIS images and 6 self-selected images. There were 2 tasks. In the relative task, each participant saw all possible two-image pairs twice, chose which image was more beautiful and rated by how much on a 1–9 scale. In the absolute task, they saw all 20 images randomly presented one by one 4 times and rated how much beauty they felt from each, 1–9. We find that the participants made consistent absolute and relative beauty judgments (absolute: test-retest r = 0.98, σ 2 = 0.29; relative: test-retest r = 0.84, σ2 = 1.37). We used absolute beauty ratings to predict relative beauty ratings by subtracting one image’s absolute beauty rating from the other’s. This simple model precisely predicts mean beauty difference ratings (r = 0.79) and 80% of the choices. Thus, the mean beauty difference ratings are predicted by mean absolute beauty ratings. But the variance in our data is 2.4 times as large as predicted by our model, suggesting a noisy comparison process.

Details

show
hide
Language(s):
 Dates: 2019-09
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1167/19.10.98b
 Degree: -

Event

show
hide
Title: Nineteenth Annual Meeting of the Vision Sciences Society (VSS 2019)
Place of Event: St. Pete Beach, FL, USA
Start-/End Date: 2019-05-17 - 2019-05-22

Legal Case

show

Project information

show

Source 1

show
hide
Title: Journal of Vision
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Charlottesville, VA : Scholar One, Inc.
Pages: - Volume / Issue: 19 (10) Sequence Number: - Start / End Page: 98b Identifier: ISSN: 1534-7362
CoNE: https://pure.mpg.de/cone/journals/resource/111061245811050