Abstract
This work analyzes the possibilities of interaction between the built environment and its users, focused on the responsiveness of the first to the emotions of the latter. Transforming the built environment according to the mood, feelings, and emotions of users, moment by moment, is discussed and analyzed. The main goal of this research is to define a responsive model by which the built environment can respond in a personalized way to the users’ emotions. For such, computational technical issues, building construction elements and users’ interaction are identified and analyzed. Case studies where occurs an interaction between the physical space and users are presented. We define a model for an architecture that is responsive to the user’s emotions assuming the individual at one end and the space at the other. The interaction between both ends takes place according to intermediate steps: the collection of data, the recognition of emotion, and the execution of the action that responds to the detected emotion. As this work focuses on an innovative and disruptive aspect of the built environment, the recognition of the new difficulties and related ethical issues are discussed.
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References
Bălan, O., et al. (2019). ‘Fear level classification based on emotional dimensions and machine learning techniques’. Sensors. Multidisciplinary Digital Publishing Institute, 19(7), 1738. https://doi.org/10.3390/s19071738.
Beesley, P., Hirosue, S., & Ruxton, J. (2006). Toward responsive architectures. In Responsive architectures: Subtle technologies. Riverside Architectural Press.
Bullivant, L. (2006). Responsive environments : Architecture, art and design, V & A contemporary series.
Decker, M. (2013). Emergent futures: Nanotechology and emergent materials in architecture. In Conference: Tectonics of Teaching—Building Technology Educators Society (BTES) (February).
Eastman, C. (1972). Adaptive-conditional architecture. In Design participation, proceedings of the design research society’s conference Manchester (pp. 51–57). London: Academy Editions.
Ekman, P. (1992). Are there basic emotions? Psychological Review, 99(3), 550–553.
Elfenbein, H. A., Marsh, A. A., & Ambady, W. I. N. (1997). Emotional intelligence and the recognition of emotion from facial expressions. In L. F. Barrett & P. Salovey (Eds.), Emotions and social behavior. The wisdom in feeling: Psychological processes in emotional intelligence (pp. 37–59). New York: The Guilford Press.
Fox, M., & Kemp, M. (2008). Interactive Architecture. In Interactive architecture.
Franz, G., Von Der Heyde, M., & Bülthoff, H. H. (2005). An empirical approach to the experience of architectural space in virtual reality-exploring relations between features and affective appraisals of rectangular indoor spaces. Automation in Construction, 14(2 SPEC. ISS.), 165–172. https://doi.org/10.1016/j.autcon.2004.07.009.
Frazer, J. (1995). An evolutionary architecture. London: Architectural Association. Available at: https://opasquet.fr/dl/texts/Frazer_An_Evolutionary_Architecture_1995.pdf.
Frijda, N. H. (1994). Varieties of affect: Emotions and episodes, moods, and sentiments. The Nature of Emotion: Fundamental Questions.
Gendron, M., & Barrett, L. F. (2009). Reconstructing the past: A century of ideas about emotion in psychology. Emotion Review, 1(4), 316–339. https://doi.org/10.1177/1754073909338877.
Glynn, R. (2005). Fun palace—Cédric price. Available at: http://www.interactivearchitecture.org/fun-palace-cedric-price.html.
Gordon, K. (1906). Esthetics. New York: Henry Holt and Company.
Grobman, J. Y., & Shemesh, A. (2015). Space and human perception—Exploring our reaction to different geometries of spaces. In 20th International Conference of the Association for Computer-Aided Architectural Design Research in Asia CAADRIA.
Henriques, G. C. (2015). Sistemas responsivos: relevância, estado da arte e desenvolvimentos (pp. 200–206). https://doi.org/10.5151/despro-sigradi2015-60042.
Khalili, Z., & Moradi, M. H. (2009). Emotion recognition system using brain and peripheral signals: Using correlation dimension to improve the results of EEG. In 2009 International Joint Conference on Neural Networks (pp. 1571–1575). IEEE. https://doi.org/10.1109/ijcnn.2009.5178854.
Kievid, C., & Oosterhuis, K. (2003). Muscle NSA, a basis for a true paradigm shift in architecture. Available at: http://www.hyperbody.nl/research/projects/muscle-nsa/index.html.
Kolarevic, B., & Parlac, V. (2015). Adaptive, responsive building skins. In Building dynamics: Exploring architecture of change. https://doi.org/10.4324/9781315763279.
Leite, S., et al. (2019). Physiological arousal quantifying perception of safe and unsafe virtual environments by older and younger adults. Sensors, 19(2447), 1–19.
Liu, C., et al. (2018). Multi-feature based emotion recognition for video clips. In Proceedings of the 20th ACM international conference on multimodal interaction (ICMI’18) (pp. 630–634). New York, USA: Association for Computing Machinery.
Maier, F. (2012). One ocean—Thematic pavilion for EXPO 2012. Available at: https://www.detail-online.com/article/one-ocean-thematic-pavilion-for-expo-2012-16339/.
Mathews, S. (2005). The fun palace: Cedric price’s experiment in architecture and technology. Technoetic Arts, 3(2), 73–92. https://doi.org/10.1386/tear.3.2.73/1.
Meagher, M. (2015). Designing for change: The poetic potential of responsive architecture. Frontiers of Architectural Research. Elsevier, 4(2), 159–165. https://doi.org/10.1016/j.foar.2015.03.002.
Ménard, M., et al. (2015) Emotion recognition based on heart rate and skin conductance. https://doi.org/10.5220/0005241100260032.
Mulligan, K., & Scherer, K. R. (2012). Toward a working definition of emotion. Emotion Review, 4(4), 345–357. https://doi.org/10.1177/1754073912445818.
Negroponte, N. (1970). The architectural machine: Towards a more human environment. Cambridge: MIT Press.
Office Ozelo. (2015). Cerebral hut. Available at: http://www.ozeloffice.com/new-page.
Oosterhuis, K. (2003) Hyperbodies : Toward an E-motive architecture. Birkhäuser.
Pallasma, J. (2005). The eyes of the skin. Architecture and the senses. Hoboken: Wiley.
Picard, R. W. (2000). Toward computers that recognize and respond to user emotion. IBM Systems Journal.
Quesnel, D., & Riecke, B. E. (2018). Are you awed yet? How virtual reality gives us awe and goose bumps. Frontiers in Psychology, 1–22. https://doi.org/10.3389/fpsyg.2018.02158.
Rabeneck, A. (1969). Cybermation: A useful dream. Architectural Design, 497–500.
Samadiani, N., et al. (2020). A multiple feature fusion framework for video emotion recognition in the wild. Concurrency Computation Practice and Experience. https://doi.org/10.1002/cpe.5764.
Shu, L., et al. (2018). A review of emotion recognition using physiological signals. Sensors, 18(2074). https://doi.org/10.3390/s18072074.
Sterk, T. D. (2003). Building upon negroponte: A hybridized model of control suitable for responsive architecture. Automation in Construction, 14(2), 225–232.
Sun, J., et al. (1996). The influence of surface slope on human gait characteristics: A study of urban pedestrians walking on a inclined surface. Ergonomics, 39(4), 677–692.
World’s “Smartest” House Created By CU-Boulder Team. (1998). Available at: https://www.oecd-ilibrary.org/docserver/518742334033.pdf?expires=1580242037&id=id&accname=oid015503&checksum=AF990ADD908741CBBB25670E25137FB4.
Zuk, W., & Clark, R. H. (1970). Kinetic architecture. Van Nostrand Reinhold.
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This publication was partially funded by Fundação para a Ciência e Tecnologia under project UIDB/04466/2020 and UIDP/04466/2020.
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Almeida, L., Eloy, S., de Almeida, A. (2021). What About if Buildings Respond to My Mood?. In: Eloy, S., Leite Viana, D., Morais, F., Vieira Vaz, J. (eds) Formal Methods in Architecture. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-57509-0_12
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DOI: https://doi.org/10.1007/978-3-030-57509-0_12
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