TY - JOUR
T1 - The intrinsic variance of beauty judgment
AU - Pombo, Maria
AU - Brielmann, Aenne A.
AU - Pelli, Denis G.
N1 - Funding Information:
We thank Cate Hartley and Pablo Ripollés for their comments. We also thank Larry Maloney, Mike Landy, and Brian McElree for their comments on Experiment , and Elizabeth Zhou for her feedback on the project design and analysis. We also thank Liliana Casabal, principal of Morgane Le Fay, for allowing us to join her fashion photoshoot for our experiment. Lastly, we thank photographer Lloyd Stevie and model Serguelen Mariano for their talent during the photoshoot. Parts of this project were presented as posters at the VSS 2021, ECVP 2021, and IAEA 2021 conferences (Pombo et al., , , ). This work was supported by NIH Core Grant P30 EY013079 and by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)–461354985.
Funding Information:
We thank Cate Hartley and Pablo Ripollés for their comments. We also thank Larry Maloney, Mike Landy, and Brian McElree for their comments on Experiment 1 , and Elizabeth Zhou for her feedback on the project design and analysis. We also thank Liliana Casabal, principal of Morgane Le Fay, for allowing us to join her fashion photoshoot for our experiment. Lastly, we thank photographer Lloyd Stevie and model Serguelen Mariano for their talent during the photoshoot. Parts of this project were presented as posters at the VSS 2021, ECVP 2021, and IAEA 2021 conferences (Pombo et al., 2021a , 2021b , 2021c). This work was supported by NIH Core Grant P30 EY013079 and by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)–461354985.
Publisher Copyright:
© 2023, The Author(s).
PY - 2023/5
Y1 - 2023/5
N2 - Recall memory and sequential dependence threaten the independence of successive beauty ratings. Such independence is usually assumed when using repeated measures to estimate the intrinsic variance of a rating. We call “intrinsic” the variance of all possible responses that the participant could give on a trial. Variance arises within and across participants. In attributing the measured variance to sources, the first step is to assess how much is intrinsic. In seven experiments, we measure how much of the variability across beauty ratings can be attributed to recall memory and sequential dependence. With a set size of one, memory is a problem and contributes half the measured variance. However, we showed that for both beauty and ellipticity, with set size of nine or more, recall memory causes a mere 10% increase in the variance of repeated ratings. Moreover, we showed that as long as the stimuli are diverse (i.e., represent different object categories), sequential dependence does not affect the variance of beauty ratings. Lastly, the variance of beauty ratings increases in proportion to the 0.15 power of stimulus set size. We show that the beauty rating of a stimulus in a diverse set is affected by the stimulus set size and not the value of other stimuli. Overall, we conclude that the variance of repeated ratings is a good way to estimate the intrinsic variance of a beauty rating of a stimulus in a diverse set.
AB - Recall memory and sequential dependence threaten the independence of successive beauty ratings. Such independence is usually assumed when using repeated measures to estimate the intrinsic variance of a rating. We call “intrinsic” the variance of all possible responses that the participant could give on a trial. Variance arises within and across participants. In attributing the measured variance to sources, the first step is to assess how much is intrinsic. In seven experiments, we measure how much of the variability across beauty ratings can be attributed to recall memory and sequential dependence. With a set size of one, memory is a problem and contributes half the measured variance. However, we showed that for both beauty and ellipticity, with set size of nine or more, recall memory causes a mere 10% increase in the variance of repeated ratings. Moreover, we showed that as long as the stimuli are diverse (i.e., represent different object categories), sequential dependence does not affect the variance of beauty ratings. Lastly, the variance of beauty ratings increases in proportion to the 0.15 power of stimulus set size. We show that the beauty rating of a stimulus in a diverse set is affected by the stimulus set size and not the value of other stimuli. Overall, we conclude that the variance of repeated ratings is a good way to estimate the intrinsic variance of a beauty rating of a stimulus in a diverse set.
KW - Aesthetics
KW - Intrinsic variability
KW - Recall memory
KW - Repeated measures
KW - Sequential dependence
KW - Subjective beauty judgments
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U2 - 10.3758/s13414-023-02672-x
DO - 10.3758/s13414-023-02672-x
M3 - Article
C2 - 36918510
AN - SCOPUS:85149938644
SN - 1943-3921
VL - 85
SP - 1355
EP - 1373
JO - Attention, Perception, and Psychophysics
JF - Attention, Perception, and Psychophysics
IS - 4
ER -