How big should this object be? Perceptual influences on viewing-size preferences

被引:11
作者
Chen, Yi-Chia [1 ,2 ]
Deza, Arturo [1 ,3 ]
Konkle, Talia [1 ]
机构
[1] Harvard Univ, Dept Psychol, William James Hall,33 Kirkland St, Cambridge, MA 02138 USA
[2] Univ Calif Los Angeles, Dept Psychol, 1285 Franz Hall,Box 951563, Los Angeles, CA 90095 USA
[3] MIT, Ctr Brains Minds & Machines, MIT Bldg 46-3160,77 Massachusetts Ave, Cambridge, MA 02139 USA
关键词
Aesthetic preferences; Size; Mid-level visual features; Texture; Object recognition; FAMILIAR-SIZE; INFANTS SENSITIVITY; INWARD BIAS; HUMANS; BEAUTY;
D O I
10.1016/j.cognition.2022.105114
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
When viewing objects depicted in a frame, observers prefer to view large objects like cars in larger sizes and smaller objects like cups in smaller sizes. That is, the visual size of an object that "looks best" is linked to its typical physical size in the world. Why is this the case? One intuitive possibility is that these preferences are driven by semantic knowledge: For example, when we recognize a sofa, we access our knowledge about its real world size, and this influences what size we prefer to view the sofa within a frame. However, might visual processing play a role in this phenomenon-that is, do visual features that are related to big and small objects look better at big and small visual sizes, respectively, even when observers do not have explicit access to semantic knowledge about the objects? To test this possibility, we used "texform" images, which are synthesized versions of recognizable objects, which critically retain local perceptual texture and coarse contour information, but are no longer explicitly recognizable. To test for visual size preferences, we first used a size adjustment task, and the results were equivocal. However, clear results were obtained using a two-interval forced choice task, in which each texform was presented at the preferred visual size of its corresponding original image, and a visual size slightly bigger or smaller. Observers consistently selected the texform presented at the canonical visual size as the more aesthetically pleasing one. An additional control experiment ruled out alternative explanations related to size priming effects. These results suggest that the preferred visual size of an object depends not only on explicit knowledge of its real-world size, but also can be evoked by mid-level visual features that systematically covary with an object's real-world size.
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页数:11
相关论文
共 45 条
  • [1] Humans prefer curved visual objects
    Bar, Moshe
    Neta, Maital
    [J]. PSYCHOLOGICAL SCIENCE, 2006, 17 (08) : 645 - 648
  • [2] Understanding the role of individual units in a deep neural network
    Bau, David
    Zhu, Jun-Yan
    Strobelt, Hendrik
    Lapedriza, Agata
    Zhou, Bolei
    Torralba, Antonio
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (48) : 30071 - 30078
  • [3] Beauty Requires Thought
    Brielmann, Aenne A.
    Pelli, Denis G.
    [J]. CURRENT BIOLOGY, 2017, 27 (10) : 1506 - +
  • [4] The discovery and comparison of symbolic magnitudes
    Chen, Dawn
    Lu, Hongjing
    Holyoak, Keith J.
    [J]. COGNITIVE PSYCHOLOGY, 2014, 71 : 27 - 54
  • [5] Looking into the future: An inward bias in aesthetic experience driven only by gaze cues
    Chen, Yi-Chia
    Colombatto, Clara
    Scholl, Brian J.
    [J]. COGNITION, 2018, 176 : 209 - 214
  • [6] Seeing and liking: Biased perception of ambiguous figures consistent with the "inward bias" in aesthetic preferences
    Chen, Yi-Chia
    Scholl, Brian J.
    [J]. PSYCHONOMIC BULLETIN & REVIEW, 2014, 21 (06) : 1444 - 1451
  • [7] Attention scales according to inferred real-world object size
    Collegio, Andrewj
    Nah, Joseph C.
    Scotti, Paul S.
    Shomstein, Sarah
    [J]. NATURE HUMAN BEHAVIOUR, 2019, 3 (01) : 40 - 47
  • [8] Curve Appeal: Exploring Individual Differences in Preference for Curved Versus Angular Objects
    Cotter, Katherine N.
    Silvia, Paul J.
    Bertamini, Marco
    Palumbo, Letizia
    Vartanian, Oshin
    [J]. I-PERCEPTION, 2017, 8 (02): : 1 - 17
  • [9] Putting reward in art: A tentative prediction error account of visual art
    de Cruys, Sander Van
    Wagemans, Johan
    [J]. I-PERCEPTION, 2011, 2 (09): : 1035 - 1062
  • [10] Deza A., 2019, C COGNITIVE COMPUTAT