Bar, M., & Neta, M. (2006). Humans prefer curved visual objects.
Psychological Science,
17(8), 645–648.
https://doi.org/10.1111/j.1467-9280.2006.01759.x
Barron, H. C., Dolan, R. J., & Behrens, T. E. J. (2013). Online evaluation of novel choices by simultaneous representation of multiple memories.
Nature Neuroscience,
16(10), 1492–1498.
https://doi.org/10.1038/nn.3515
Cela-Conde, C. J., Marty, G., Maestú, F., Ortiz, T., Munar, E., Fernández, A., Roca, M., Rosselló, J., & Quesney, F. (2004). Activation of the prefrontal cortex in the human visual aesthetic perception.
Proceedings of the National Academy of Sciences of the United States of America,
101(16), 6321–6325.
https://doi.org/10.1073/pnas.0401427101
Chatterjee, A., Widick, P., Sternschein, R., Smith, W., & Bromberger, B. (2010). The assessment of art attributes.
Empirical Studies of the Arts,
28(2), 207–222.
https://doi.org/10.2190/EM.28.2.f
Gantt, L. M., & Anderson, F. (2009). The Formal Elements Art Therapy Scale: A measurement system for global variables in art.
Art therapy,
26(3), 124-129.
https://doi.org/10.1080/07421656.2001.10129453
Goodman, D. (Ed.). (2008). The new rich in China: Future rulers, present lives (First edition). 2 Park Square. Milton Park. Abington Oxon OX14 RN. Routledge.
Iigaya, K., Yi, S., Wahle, I. A., Tanwisuth, K., & Doherty, J. P. O. (2021). A mixture of low- and high-level visual features.
Nature Human Behaviour,
5(June).
https://doi.org/10.1038/s41562-021-01124-6
Iigaya, K., Yi, S., Wahle, I. A., Tanwisuth, K., & O’Doherty, J. P. (2020). Aesthetic preference for art emerges from a weighted integration over hierarchically structured visual features in the brain.
BioRxiv, 2020.02.09.940353.
https://doi.org/10.1101/2020.02.09.940353
Kahnt, T., Heinzle, J., Park, S. Q., & Haynes, J. D. (2011). Decoding different roles for vmPFC and dlPFC in multi-attribute decision making.
NeuroImage,
56(2), 709–715.
https://doi.org/10.1016/j.neuroimage.2010.05.058
Leder, H., & Nadal, M. (2014).
Ten years of a model of aesthetic appreciation and aesthetic judgments : The aesthetic episode – Developments and challenges in empirical aesthetics. 443–464.
https://doi.org/10.1111/bjop.12084
Mallon, B., Redies, C., & Hayn-Leichsenring, G. U. (2014). Beauty in abstract paintings: Perceptual contrast and statistical properties.
Frontiers in Human Neuroscience,
8(MAR), 1–14.
https://doi.org/10.3389/fnhum.2014.00161
Ning, D. (1995). The science of art.
Languages of Design,
3(1), 78–79.
https://doi.org/10.1016/0927-3034(96)83741-4
Palmer, S. E., Schloss, K. B., & Sammartino, J. (2013). Visual aesthetics and human preference.
Annual Review of Psychology,
64, 77–107.
https://doi.org/10.1146/annurev-psych-120710-100504
Shimamura, A. P., & Palmer, S. E. (2012)
Aesthetic Science: Connecting Minds, Brains, and Experience (2012), United Kingdom: Oxford University Press, USA.
https://doi.org/10.1093/acprof:oso/9780199732142.001.0001
Slayton, S. C., D'Archer, J., & Kaplan, F. (2010). Outcome studies on the efficacy of art therapy: A review of findings.
Art therapy,
27(3), 108-118.
https://doi.org/10.1080/07421656.2010.10129660
Vaidya, A. R., Sefranek, M., & Fellows, L. K. (2018). Ventromedial Frontal Lobe Damage Alters how Specific Attributes are Weighed in Subjective Valuation.
Cerebral Cortex,
28(11), 3857–3867.
https://doi.org/10.1093/cercor/bhx246
Van Paasschen, J., Zamboni, E., Bacci, F., & Melcher, D. (2014). Consistent Emotions Elicited by Low-Level Visual Features in Abstract Art.
Art and Perception,
2(1–2), 99–118.
https://doi.org/10.1163/22134913-00002012
Wimmer, G. E., & Shohamy, D. (2012). Preference by association: How memory mechanisms in the hippocampus bias decisions.
Science,
338(6104), 270–273.
https://doi.org/10.1126/science.1223252