Explicit and Implicit Preference for Symmetry Across Object Categories

被引:0
作者
Roccato, Marco [1 ]
Contemori, Giulio [1 ]
Campana, Gianluca [1 ]
Bertamini, Marco [1 ]
机构
[1] Univ Padua, Dept Gen Psychol, Via Venezia 8, Padua 35131, Italy
来源
SYMMETRY-BASEL | 2024年 / 16卷 / 11期
关键词
symmetry; preference; aesthetics; landscapes; SCIENCE; ATTRACTIVENESS; FAMILIARITY; CURVATURE; MODEL;
D O I
10.3390/sym16111478
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Symmetry affects aesthetic judgements, and it has been extensively studied at least for faces and abstract objects. We examined the role of bilateral symmetry on aesthetic judgements across different types of stimuli. It is important to test if symmetry is equally effective in the context of objects expected to be symmetrical, e.g., faces, and objects that are almost never symmetrical, e.g., landscapes. We used the following categories: angular shapes, smooth shapes, landscapes, flowers, female faces, and male faces. We selected these image categories considering their differing degrees of curvature, familiarity to the viewer, and tendency to be perceived as ensembles, as opposed to standalone objects. We also included blobs, manipulating landscapes into blurry tessellated patterns featuring patches of color, to remove familiarity while preserving the appearance of ensembles. For each item in these categories, images were modified to obtain perfect bilateral symmetry. We collected both explicit ratings and implicit measures of symmetry preference. For landscapes, there was a clear preference for the non-symmetrical (original) version. We observed a dissociation between explicit and implicit measures. Implicit measures demonstrated positive associations for all categories.
引用
收藏
页数:17
相关论文
共 72 条
  • [51] Implicit and Explicit Preferences for Golden Ratio
    Salera, Claudia
    Vallebella, Camilla
    Iosa, Marco
    Pecchinenda, Anna
    [J]. SYMMETRY-BASEL, 2024, 16 (03):
  • [52] A computational approach to investigating facial attractiveness factors using geometric morphometric analysis and deep learning
    Sano, Takanori
    Kawabata, Hideaki
    [J]. SCIENTIFIC REPORTS, 2023, 13 (01)
  • [53] Measuring aesthetic emotions: A review of the literature and a new assessment tool
    Schindler, Ines
    Hosoya, Georg
    Menninghaus, Winfried
    Beermann, Ursula
    Wagner, Valentin
    Eid, Michael
    Scherer, Klaus R.
    [J]. PLOS ONE, 2017, 12 (06):
  • [54] Siegrist J., 2006, European Review, V13, P145, DOI DOI 10.1017/S1062798705000724
  • [55] Familiarity and Novelty in Aesthetic Preference: The Effects of the Properties of the Artwork and the Beholder
    Song, Jiwon
    Kwak, Yuna
    Kim, Chai-Youn
    [J]. FRONTIERS IN PSYCHOLOGY, 2021, 12
  • [56] Beautiful on the inside: Aesthetic preferences and the skeletal complexity of shapes
    Sun, Zekun
    Firestone, Chaz
    [J]. PERCEPTION, 2022, 51 (12) : 904 - 918
  • [57] Does the composition of landscape photographs affect visual preferences? The rule of the Golden Section and the position of the horizon
    Svobodova, Kamila
    Sklenicka, Petr
    Molnarova, Kristina
    Vojar, Jiri
    [J]. JOURNAL OF ENVIRONMENTAL PSYCHOLOGY, 2014, 38 : 143 - 152
  • [58] Key concepts in a framework for analysing visual landscape character
    Tveit, M.
    Ode, A.
    Fry, G.
    [J]. LANDSCAPE RESEARCH, 2006, 31 (03) : 229 - 255
  • [59] Order, Complexity, and Aesthetic Appreciation
    Van Geert, Eline
    Wagemans, Johan
    [J]. PSYCHOLOGY OF AESTHETICS CREATIVITY AND THE ARTS, 2020, 14 (02) : 135 - 154
  • [60] The relation between symmetry in food packaging and approach and avoidance words
    Velasco, Carlos
    Pathak, Abhishek
    Woods, Andy T.
    Corredor, Andres
    Elliot, Andrew J.
    [J]. QUARTERLY JOURNAL OF EXPERIMENTAL PSYCHOLOGY, 2020, 73 (05) : 654 - 663