Abstract
Neuro-architecture seeks to define and understand the relationship between our psychological state and the artificial structures in which we spend most of our time and incorporate that insight into the design. However, little is known about the subjective judgment of real architectural models and about the cognitive processes in aesthetic appreciation applied to architecture. In the present study, we used real and computer-designed architectural images of bedrooms, in order to compare both types of images. Participants were asked to judge the arousal and valence of their own emotional experience after viewing each image. Furthermore, we used EEG recording to gain a better understanding of the regions of the brain involved in the processing of these images. Our results show that there are significant differences in the early stages of processing of both types of images and emphasize the importance of generating familiar and recognizable images for the acceptance by people.
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References
Szalapaj, P.: CAD principles for architectural design: analytical approaches to computational representation of architectural form. Architectural Press
Bijl, A.: Computer aided architectural design. In: Parslow, R.D., Green, R.E. (eds.) Advanced Computer Graphics, pp. 433–448. Springer, US, http://link.springer.com/10.1007/978-1-4613-4606-7_25
Lang, P.J., Bradley, M.M., Cuthbert, B.N.: Emotion, attention, and the startle reflex 97(3), 377–395
Vartanian, O., Navarrete, G., Chatterjee, A., Fich, L.B., Leder, H., Modrono, C., Nadal, M., Rostrup, N., Skov, M.: Impact of contour on aesthetic judgments and approach-avoidance decisions in architecture 110, 10446–10453, http://www.pnas.org/cgi/doi/10.1073/pnas.1301227110 , doi:10.1073/pnas.1301227110
Watson, C.E., Chatterjee, A.: The functional neuroanatomy of actions 76(16), 1428–1434, http://www.neurology.org/cgi/doi/10.1212/WNL.0b013e3182166e2c , doi:10.1212/WNL.0b013e3182166e2c
Jacobsen, T.: Beauty and the brain: culture, history and individual differences in aesthetic appreciation 216(2), 184–191, http://doi.wiley.com/10.1111/j.1469-7580.2009.01164.x , doi:10.1111/j.1469-7580.2009.01164.x
Vartanian, O., Goel, V.: Neuroanatomical correlates of aesthetic preference for paintings 15(5), 893–897
Kedia, G., Mussweiler, T., Mullins, P., Linden, D.E.J.: The neural correlates of beauty comparison 9(5), 681–688, doi:10.1093/scan/nst026
Jacobsen, T., Höfel, L.: Descriptive and evaluative judgment processes: Behavioral and electrophysiological indices of processing symmetry and aesthetics 3(4), 289–299, http://www.springerlink.com/index/10.3758/CABN.3.4.289 , doi:10.3758/CABN.3.4.289
Schupp, H.T., Cuthbert, B.N., Bradley, M.M., Cacioppo, J.T., Ito, T., Lang, P.J.: Affective picture processing: The late positive potential is modulated by motivational relevance 37(2), 257–261, http://doi.wiley.com/10.1111/1469-8986.3720257 , doi:10.1111/1469-8986.3720257
Oldfield, R.: The assessment and analysis of handedness: The edinburgh inventory 9(1), 97–113, http://linkinghub.elsevier.com/retrieve/pii/0028393271900674 , doi:10.1016/0028-3932(71)90067-4
Klem, G.H., Lders, H.O., Jasper, H.H., Elger, C.: The ten-twenty electrode system of the international federation. The International Federation of Clinical Neurophysiology 52, 3–6
Meghdadi, A.H., Fazel-Rezai, R., Aghakhani, Y.: Detecting determinism in EEG signals using principal component analysis and surrogate data testing, IEEE, 6209–6212, http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4463227 , doi:10.1109/IEMBS.2006.260679
Murray, M.M., Brunet, D., Michel, C.M.: Topographic ERP analyses: A step-by-step tutorial review 20(4), 249–264, http://link.springer.com/10.1007/s10548-008-0054-5 , doi:10.1007/s10548-008-0054-5
Martinovic, J., Jones, A., Christiansen, P., Rose, A.K., Hogarth, L., Field, M.: Electrophysiological responses to alcohol cues are not associated with pavlovian-to-instrumental transfer in social drinkers 9(4), e94605, http://dx.plos.org/10.1371/journal.pone.0094605 , doi:10.1371/journal.pone.0094605
Vatta, F., Meneghini, F., Esposito, F., Mininel, S., Di Salle, F.: Realistic and spherical head modeling for EEG forward problem solution: A comparative cortex-based analysis 2010, 1–11, http://www.hindawi.com/journals/cin/2010/972060/ , doi:10.1155/2010/972060
Rosenblad, A.: B. f. j. manly: Randomization, bootstrap and monte carlo methods in biology, 3rd edn., vol. 24(2), pp. 371–372. Chapman & hall/CRC, Boca raton, pp., $79.95 (2007), http://link.springer.com/10.1007/s00180-009-0150-3 , doi:10.1007/s00180-009-0150-3 ISBN: 1-58488-541-6
Reber, R., Schwarz, N., Winkielman, P.: Processing fluency and aesthetic pleasure: Is beauty in the perceiver’s processing experience? 8(4), 364–382, http://psr.sagepub.com/cgi/doi/10.1207/s15327957pspr0804_3 , doi:10.1207/s15327957pspr0804_3
Winkielman, P., Halberstadt, J., Fazendeiro, T., Catty, S.: Prototypes are attractive because they are easy on the mind. 17(9), 799–806, http://pss.sagepub.com/lookup/doi/10.1111/j.1467-9280.2006.01785.x , doi:10.1111/j.1467-9280.2006.01785.x
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Murcia, M.D.G., Ortíz, M.J., López-Gordo, M.A., Ferrández-Vicente, J.M., Fernández, E. (2015). Neural Recognition of Real and Computer-Designed Architectural Images. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo-Moreo, F., Adeli, H. (eds) Bioinspired Computation in Artificial Systems. IWINAC 2015. Lecture Notes in Computer Science(), vol 9108. Springer, Cham. https://doi.org/10.1007/978-3-319-18833-1_47
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DOI: https://doi.org/10.1007/978-3-319-18833-1_47
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