Explaining the Curvature Effect: Perceptual and Hedonic Evaluations of Visual Contour

被引:7
作者
Clemente, Ana [1 ,2 ,3 ,10 ]
Penacchio, Olivier [4 ,5 ]
Vila-Vidal, Manel [6 ]
Pepperell, Robert [7 ]
Ruta, Nicole [8 ,9 ]
机构
[1] Univ Balear Isl, Human Evolut & Cognit Res Grp, Palma De Mallorca, Spain
[2] Univ Barcelona, Inst Neurosci, Dept Cognit Dev & Educ Psychol, Barcelona, Spain
[3] Bellvitge Biomed Res Inst, Cognit & Brain Plast Unit, LHospitalet De Llobregat, Spain
[4] Univ St Andrews, Sch Psychol & Neurosci, St Andrews, Scotland
[5] Autonomous Univ Barcelona, Comp Vis Ctr, Comp Sci Dept, Barcelona, Spain
[6] Univ Pompeu Fabra, Ctr Brain & Cognit, Dept Tecnol Informac Comunicac, Barcelona, Spain
[7] Cardiff Metropolitan Univ, Fovolab, Cardiff, Wales
[8] Univ St Andrews, Sch Divin, St Andrews, Scotland
[9] Dept Brain & Cognit, Lab Expt Psychol, KU Leuven, Leuven, Belgium
[10] Univ Balear Isl, Human Evolut & Cognit Res Grp EvoCog, Carretera Valldemossa,km 7-5, Palma De Mallorca 07122, Spain
关键词
contour; curvature effect; perception; preference; sensitivity; AESTHETIC PREFERENCE; PERSONALITY; OBJECTS; SENSITIVITY; APPRECIATION; DISCOMFORT; CONVEXITY; PAINTINGS; JUDGMENTS; FIXATION;
D O I
10.1037/aca0000561
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
Preference for curvature, the curvature effect, seems to transcend cultures, species, and stimulus kinds. However, its nature and psychological mechanisms remain obscure because studies often overlook the complexity of contour characterization and disregard personal and contextual factors. To investigate the curvature effect, we propose a continuous and multidimensional manipulation and contrasting experimental conditions examined at the group and individual levels that unveil a complex picture, not reducible to monotonous relationships: Perceptual and hedonic evaluations relied on multiple geometric features defining contour and shape. These features were specifically weighted to characterize each construct, depending on the individual and contingent on whether evaluating perceptually or hedonically. Crucially, the curvature effect was not robust to preference with respect to the median and continuous manipulations of contour for varying shapes. As curved contours are more easily perceived and processed than polygons, we hypothesized that perceived contour might explain liking for a figure beyond the effect of geometric features, finding that this association was subordinated to shape categorizations. Finally, domain-specific, personality, and cognitive-preference traits moderated how people used each geometric feature in their perceptual and hedonic evaluations. We conclude that research on perception and appreciation of contour and shape should factor in their complexity and defining features. Additionally, embracing individual sensitivities opens potential avenues to advance the understanding of psychological phenomena. In summary, our approach unpacks a complex picture of contour preference that prompts critical reflections on past research and advice for future research, and it is applicable to other psychological constructs.
引用
收藏
页数:21
相关论文
共 104 条
[1]   Distinct sensitivity to spectrotemporal modulation supports brain asymmetry for speech and melody [J].
Albouy, Philippe ;
Benjamin, Lucas ;
Morillon, Benjamin ;
Zatorre, Robert J. .
SCIENCE, 2020, 367 (6481) :1043-+
[2]  
[Anonymous], 1991, Detection theory: a user'sguide
[3]  
[Anonymous], 2009, Empirical Studies of the Arts, DOI [DOI 10.2190/EM.27.1.B, 10.2190/em.27.1.b, 10.2190/EM.27.1.b]
[4]  
Arnheim R., 1954, Art and Visual Perception
[5]   Visual elements of subjective preference modulate amygdala activation [J].
Bar, Moshe ;
Neta, Maital .
NEUROPSYCHOLOGIA, 2007, 45 (10) :2191-2200
[6]   Humans prefer curved visual objects [J].
Bar, Moshe ;
Neta, Maital .
PSYCHOLOGICAL SCIENCE, 2006, 17 (08) :645-648
[7]   Random effects structure for confirmatory hypothesis testing: Keep it maximal [J].
Barr, Dale J. ;
Levy, Roger ;
Scheepers, Christoph ;
Tily, Harry J. .
JOURNAL OF MEMORY AND LANGUAGE, 2013, 68 (03) :255-278
[8]  
Barton Kamil, 2024, CRAN
[9]   Fitting Linear Mixed-Effects Models Using lme4 [J].
Bates, Douglas ;
Maechler, Martin ;
Bolker, Benjamin M. ;
Walker, Steven C. .
JOURNAL OF STATISTICAL SOFTWARE, 2015, 67 (01) :1-48
[10]  
BenShachar M., 2020, The Journal of Open Source Software, V5, DOI [10.21105/joss.02815, DOI 10.21105/JOSS.02815]