Transformation of the Interface: Future Human-Building Interactions

Abstract

Buildings are responsible for about 40% of total energy use in the world, and this rate leads to serious environmental concerns that have triggered researchers to work on new ways of operating and utilizing built environments. As future built environments are supposed to be equipped with the latest technologies with many innovative features, the interactions between occupants and buildings are expected to be different in intelligent buildings from that of conventional ones. For many years, primitive building components that are almost entirely transparent with their simple logic and physical interfaces provided occupants sophisticated opportunities to regulate indoor environmental conditions, including temperature, lighting, and air quality. However, as buildings are expected to incorporate more automated services, intelligent applications, and artificial intelligence in the near future along with the improvements in the field, it is foreseen that conventional touch-input modalities will be subjected to change and there will be a radical transition in the way people interact with the built environment. This research aims to review the current condition in human-building interactions and outlines the probable upcoming changes by referring to the advancements in the field.

Keywords

• Human-Building Interactions
• Building Interface
• Intelligent Buildings
• Occupant Behaviors

Arayüz Dönüşümü: Gelecekteki İnsan-Bina Etkileşimleri

Abstract

Binalar, dünyadaki toplam enerji kullanımının yaklaşık %40'ından sorumludur ve bu oran, araştırmacıları yapı sistemlerinin işletilmesi ve kullanılması için yeni yollar üzerinde çalışmaya iten ciddi çevresel kaygılara yol açmaktadır. Akıllı binaların birçok yenilikçi özelliğe sahip son teknoloji ürünleriyle donatılı olacağı değerlendirildiğinde, akıllı binaların insanlarla arasındaki etkileşimlerin geleneksel binalardan farklı olacağı öngörülmektedir. Uzun yıllar boyunca, basit mantık ve fiziksel ara yüzleriyle kullanıcıya karşı neredeyse tamamen şeffaf olan temel bina bileşenleri, bina sakinlerine sıcaklık, aydınlatma ve hava kalitesi dâhil olmak üzere iç mekân çevre koşullarını düzenlemek için gelişmiş fırsatlar sağlamıştır. Bununla birlikte, binaların yakın gelecekte alandaki gelişmelerle birlikte daha fazla otomasyon, akıllı uygulamalar ve yapay zekâyı bünyesine katması beklendiğinden, geleneksel bina ile etkileşim modalitelerinin değişime tabi olacağı ve insanların yapılarla etkileşiminde radikal bir geçiş olacağı öngörülmektedir. Bu araştırma insan-bina etkileşimlerindeki mevcut durumu incelemeyi ve bu alandaki gelişmelere atıfta bulunarak gelecekteki olası değişimlerin ana hatlarını belirlemeyi amaçlamaktadır.

Keywords

• İnsan-Bina Etkileşimleri
• Yapı Arayüzleri
• Akıllı Binalar
• Bina Kullanıcı Davranışları

References

1. Alavi, H. S., Churchill, E. F., Lalanne, D., Dalsgaard, P., Fatah, A., Schieck, G., … Rogers, Y. (2019). Introduction to Human-Building Interaction (HBI): Interfacing HCI with Architecture and Urban Design. ACM Transactions on Computer-Human Interaction, 26(6). https://doi.org/10.1145/3309714
2. Andersen, R. (2012). The influence of occupants ’ behaviour on energy consumption investigated in 290 identical dwellings and in 35 apartments. 10th International Conference on Healthy Buildings, 1–3.
3. Bader, P., Voit, A., Le, H. V., Wozniak, P. W., Henze, N., & Schmidt, A. (2019). WindowWall: Towards Adaptive Buildings with Interactive Windows as Ubiquitous Displays. TOCHI: Special Issue on Human-Building Interaction, 26(2).
4. Banham, R. (1969). The Architecture of the Well-Tempered Environment. University of Chicago Press.
5. Chen, H. M., Lin, C. W., Hsieh, S. H., Chao, H. F., Chen, C. S., Shiu, R. S., … Deng, Y. C. (2012). Persuasive feedback model for inducing energy conservation behaviors of building users based on interaction with a virtual object. Energy and Buildings, 45, 106–115. https://doi.org/10.1016/j.enbuild.2011.10.029
6. Chen, Y., & Treado, S. (2014). Development of a simulation platform based on dynamic models for HVAC control analysis. Energy and Buildings, 68, 376–386. https://doi.org/10.1016/J.ENBUILD.2013.09.016
7. Clements-Croome, D. J. (2013). Intelligent Buildings: Design, management and operation (2nd ed.). ICE Publishing.
8. D’Oca, S., Hong, T., & Langevin, J. (2018). The human dimensions of energy use in buildings: A review. Renewable and Sustainable Energy Reviews, 81, 731–742. https://doi.org/10.1016/j.rser.2017.08.019

9. Dalton, N. S., Schnädelbach, H., Wiberg, M., & Varoudis, T. (2004). Architecture and Interaction: Human Computer Interaction in Space and Place (Vol. 6). https://doi.org/10.1007/s10111-003-0139-6
10. EIA. (2017). World Energy Outlook 2017. U.S. Energy Information Administration.
11. EU GDPR (2020). Retrieved from https://gdpr.eu/ , accessed on December 15th,2020.
12. Frontczak, M., Schiavon, S., Goins, J., Arens, E., Zhang, H., & Wargocki, P. (2012). Quantitative relationships between occupant satisfaction and satisfaction aspects of indoor environmental quality and building design. Indoor Air, 22(2), 119–131. https://doi.org/10.1111/j.1600-0668.2011.00745.x
13. Grabe, J. Von, & Gonzalez, C. (2016). Human Decision Making in Energy-Relevant Interaction with Buildings. In Central European Symposium on Building Physics. Dresden.
14. Hong, T., D’Oca, S., Taylor-Lange, S. C., Turner, W. J. N., Chen, Y., & Corgnati, S. P. (2015). An ontology to represent energy-related occupant behavior in buildings. Part II: Implementation of the DNAS framework using an XML schema. Building and Environment, 94(P1), 196–205. https://doi.org/10.1016/j.buildenv.2015.08.006
15. Hong, T., D’Oca, S., Turner, W. J. N., & Taylor-Lange, S. C. (2015). An ontology to represent energy-related occupant behavior in buildings. Part I: Introduction to the DNAs framework. Building and Environment, 92(P1), 764–777. https://doi.org/http://dx.doi.org/10.1016/j.buildenv.2015.02.019
16. Hong, T., Yan, D., D’Oca, S., & Chen, C. F. (2017). Ten questions concerning occupant behavior in buildings: The big picture. Building and Environment, 114, 518–530. https://doi.org/10.1016/j.buildenv.2016.12.006
17. Indraganti, M., & Rao, K. D. (2010). Effect of age, gender, economic group and tenure on thermal comfort: A field study in residential buildings in hot and dry climate with seasonal variations. Energy and Buildings, 42(3), 273–281. https://doi.org/10.1016/j.enbuild.2009.09.003
18. IPCC. (2015). Climate change 2014: mitigation of climate change. Cambridge University Press.
19. Këpuska, V., & Bohouta, G. (2018). Next-generation of virtual personal assistants (Microsoft Cortana, Apple Siri, Amazon Alexa and Google Home). In 2018 IEEE 8th Annual Computing and Communication Workshop and Conference - CCWC 2018 (pp. 99–103).
20. Khashe, S., Heydarian, A., Becerik-Gerber, B., & Wood, W. (2016). Exploring the effectiveness of social messages on promoting energy conservation behavior in buildings. Building and Environment, 102, 83–94. https://doi.org/10.1016/j.buildenv.2016.03.019
21. Klein, L., Kwak, J. Y., Kavulya, G., Jazizadeh, F., Becerik-Gerber, B., Varakantham, P., & Tambe, M. (2012). Coordinating occupant behavior for building energy and comfort management using multi-agent systems. Automation in Construction, 22, 525–536. https://doi.org/10.1016/j.autcon.2011.11.012
22. Konstantakopoulos, I. C., Barkan, A. R., He, S., Veeravalli, T., Liu, H., & Spanos, C. (2019). A deep learning and gamification approach to improving human-building interaction and energy efficiency in smart infrastructure. Applied Energy, 237(December 2018), 810–821. https://doi.org/10.1016/j.apenergy.2018.12.065
23. Kwong, Q. J., Adam, N. M., & Sahari, B. B. (2014). Thermal comfort assessment and potential for energy efficiency enhancement in modern tropical buildings: A review. Energy and Buildings, 68, 547–557. https://doi.org/10.1016/J.ENBUILD.2013.09.034
24. Lazarova-Molnar, S., & Mohamed, N. (2017). On the Complexity of Smart Buildings Occupant Behavior: Risks and Opportunities. Proceedings of the 8th Balkan Conference in Informatics. https://doi.org/10.1145/3136273.3136274 Lee, J. (2010). Conflict resolution in multi-agent based Intelligent Environments. Building and Environment, 45(3), 574–585.
25. Lilis, G., Conus, G., Asadi, N., & Kayal, M. (2017). Towards the next generation of intelligent building: An assessment study of current automation and future IoT based systems with a proposal for transitional design. Sustainable Cities and Society, 28, 473–481. https://doi.org/10.1016/j.scs.2016.08.019
26. Masoso, O. T., & Grobler, L. J. (2010). The dark side of occupants’ behaviour on building energy use. Energy and Buildings, 42(2), 173–177. https://doi.org/10.1016/j.enbuild.2009.08.009
27. Nembrini, J., & Lalanne, D. (2017). Human-Building Interaction: When the Machine Becomes a Building. In INTERACT 2017 (Vol. 10514, pp. 534–543). https://doi.org/10.1007/978-3-319-67684-5
28. Nicol, J. F., & Humphreys, M. A. (2002). Adaptive thermal comfort and sustainable thermal standards for buildings. Energy and Buildings, 34(6), 563–572. https://doi.org/10.1016/S0378-7788(02)00006-3
29. Park, J. Y., & Nagy, Z. (2018). Comprehensive analysis of the relationship between thermal comfort and building control research - A data-driven literature review. Renewable and Sustainable Energy Reviews, 82(September 2017), 2664–2679. https://doi.org/10.1016/j.rser.2017.09.102
30. Schweiker, M. (2010). Occupant Behaviour and the Related Reference Levels for Heating and Cooling. Tokyo City University.
31. Thomas, S., & Pasquier, S. B. (2015). Energy efficiency, buildings and behaviour workshop. IEA Publications.
32. Topak, F., Pekeriçli, M. K., Tanyer, A.M. (2019). Human-Building Interactions in Intelligent Built Environments. II. International Conference and Exhibition on Digital Transformation & Smart Systems - DTSS 2019, Ankara, Turkey.
33. Topak, F., & Pekeriçli, M. K. (2020). Towards Using Human-Computer Interaction Research for Advancing Intelligent Built Environments : A Review. 6th International Project and Construction Management Conference - IPCMC 2020.
34. U.S. Department of Energy. (2011). Building Energy Data Book.
35. Wang, S. (2010). Intelligent Buildings and Buildings Automation. New York: Spon Press.
36. Wigginton, M., & Harris, J. (2002). Inteligent Skins. Oxford: Architectural Press.
37. Wright, D., Gutwirth, S., Friedewald, M., Vildjiounaite, E., & Punie, Y. (Eds.). (2008). Safeguards in a world of ambient intelligence (Vol. 1). Springer Science & Business Media.
38. Yang, R., & Wang, L. (2012). Multi-objective optimization for decision-making of energy and comfort management in building automation and control. Sustainable Cities and Society, 2(1), 1–7. https://doi.org/10.1016/J.SCS.2011.09.001.