Commenced in January 2007
Paper Count: 31532
Simulating Human Behavior in (Un)Built Environments: Using an Actor Profiling Method
Abstract:This paper addresses the shortcomings of architectural computation tools in representing human behavior in built environments, prior to construction and occupancy of those environments. Evaluating whether a design fits the needs of its future users is currently done solely post construction, or is based on the knowledge and intuition of the designer. This issue is of high importance when designing complex buildings such as hospitals, where the quality of treatment as well as patient and staff satisfaction are of major concern. Existing computational pre-occupancy human behavior evaluation methods are geared mainly to test ergonomic issues, such as wheelchair accessibility, emergency egress, etc. As such, they rely on Agent Based Modeling (ABM) techniques, which emphasize the individual user. Yet we know that most human activities are social, and involve a number of actors working together, which ABM methods cannot handle. Therefore, we present an event-based model that manages the interaction between multiple Actors, Spaces, and Activities, to describe dynamically how people use spaces. This approach requires expanding the computational representation of Actors beyond their physical description, to include psychological, social, cultural, and other parameters. The model presented in this paper includes cognitive abilities and rules that describe the response of actors to their physical and social surroundings, based on the actors’ internal status. The model has been applied in a simulation of hospital wards, and showed adaptability to a wide variety of situated behaviors and interactions.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1129520Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 745
 Y.E. Kalay, Architecture's new media: principles, theories, and methods of computer-aided design. MIT Press, 2004.
 Council, F. F., “Learning from our buildings: A state-of-the-practice summary of post-occupancy evaluation”, Vol. 145, National Academies Press, 2002.
 R. S. Ulrich et al. “A review of the research literature on evidence-based healthcare design”. HERD: Health Environments Research & Design Journal, 1, no.3, pp. 61-125, 2008.
 W. F. Preiser, H. Z. Rabinowitz & E. T. White, “Post-occupancy evaluation”. Van Nostrand Reinhold Company, 1988.
 F. Fornara, M. Bonaiuto & M. Bonnes, “Perceived hospital environment quality indicators: A study of orthopaedic units”, 2006. Journal of Environmental Psychology, 26, no.4, pp. 321-334.
 A. Koutamanis, V. Mitossi, "Simulation for analysis: Requirements from architectural design", in B. Martens (ed.), Full-scale modeling in the age of virtual reality. OKK, Vienna. 1996.
 S. A. Herbert "Invariants of human behavior." Annual review of psychology 41.1, pp. 1-20, 1990.
 M. Brosamle and C. Hölscher, “Spatial cognition in architectural design anticipating user behavior, layout legibility, and route instructions in the planning process,” in Spatial cognition in architectural design, Bremen, Germany, 2007.
 Z. Bilda & J. S. Gero. “The impact of working memory limitations on the design process during conceptualization”. Design Studies, 28(4), 343-367,2007.
 D. Schaumann, Y.E. Kalay, S.W. Hong, and D. Simeone, “Simulating human behavior in not-yet built environments by means of event-based narratives,” SimAUD, pp. 1047–1054, 2015.
 D. Schaumann et al, “A computational framework to simulate human spatial behavior in built environments,” in Proceedings of the Symposium on Simulation for Architecture & Urban Design, 2016 (in press).
 J. Shi, A. Ren, and C. Chen, “Agent-based evacuation model of large public buildings under fire conditions,” Autom. Constr., vol. 18, pp. 338–347, 2009.
 Bo Chen and H. H. Cheng, “A review of the applications of agent technology in traffic and transportation systems,” IEEE Trans. Intell. Transp. Syst., vol. 11, no. 2, pp. 485–497, Jun. 2010.
 P. A. M. Ehlert and L. J. M. Rothkrantz, “Microscopic traffic simulation with reactive driving agents,” in ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585), 2001, pp. 860–865.
 S. Takakuwa and T. Oyama, “Modeling people flow: simulation analysis of international-departure passenger flows in an airport terminal” in WSC’03. Proceedings of the 35th conference on winter simulation: driving innovation, 2003, pp. 1627–1634.
 D. Simeone and Y. E. Kalay, “An event-based model to simulate human behaviour in built environments,” in Ecaade 2012, Vol 1, 2012, vol. 1, no. September 2012, pp. 525–532.
 D. Simeone, Y.E. Kalay, D. Schaumann, and S.W. Hong, “Modelling and simulating use processes in buildings,” Proc. eCAADe 31, vol. 2, pp. 59–68, 2013.
 M. Heidegger, Being and time: A translation of Sein und Zeit. State university of NY press, Trans. Stanbaugh, 1996.
 D. Canter, The psychology of Place. London: The Architectural Press LTD, 1977.
 S.R. Harrison and P. Dourish, “Re-Place-ing Space: the roles of place and space in collaborative systems,” 1996.
 J. Malpas, Heidegger’s Topology. Being, place, world. MIT press, 2006.
 C. Alexander, The timeless way of building. Oxford University press, 1979.
 R. G. Barker, Ecological Psychology: Concepts and methods for studying the environment of human behavior. Stanford University Press, 1968.
 H. Lefevbre, The production of space. Oxford: Blackwell, 1974.
 M. Wooldridge et al, “Intelligent agents: theory and practice,” The Knowledge. Eng. Rev., vol. 10, no. 2, p. 115, Jun. 1995.
 C. Castelfranchi, “The theory of social functions: challenges for computational social science and multi-agent learning,” J. Cogn. Syst. Res. 2, vol. 2, pp. 5–38, 2001.
 R. Sun, Cognition and multi-agent interaction: from cognitive modeling to social simulation. Cambridge University Press, 2006.
 R. Sun and N. Wilson, “A model of personality should be a cognitive architecture itself,” Cogn. Syst. Res., vol. 29, pp. 1–30, 2014.
 M. Rao, AS and Georgeff, “Modeling rational agents within BDI-architecture,” in Principles of knowledge representation and reasoning, E. S. James Allen, Richard E. Fikes, Ed. 1991, pp. 473–484.
 B. R. Steunebrink, M. Dastani, J.-J. Ch Meyer, B. R. Steunebrink, M. Dastani, and J. Ch Meyer, “A formal model of emotion triggers: an approach for BDI agents,” Synth. Knowledge, Ration. Action Synth., vol. 185, no. 185, pp. 83–129, 2012.
 P. Taillandier, O. Therondb, and G. Benoit, “A new BDI agent architecture based on the belief theory. Application to the modelling of cropping plan decision-making,” in International congress on environmental modelling and software managing resources of a limited planet, Sixth Biennial Meeting, 2012.
 E. Bonabeau, “Agent-based modeling: methods and techniques for simulating human systems.,” Proc. Natl. Acad. Sci., vol. 99, no. suppl. 3, pp. 7280–7287, 2002.
 W. Yan, and Y.E. Kalay, “Geometric, cognitive and behavioral modeling of environmental users,” Des. Comput. Cogn., no. Section 2, 2006.
 Ş. Cenani and G. Çağdaş, “Agent-based system for modeling user behavior in shopping malls,” in Architecture in Computro, 26th eCAADe Conference Proceedings Antwerpen (Belgium), 2008, pp. 635–642.
 Y. Boyko et al, “Sleep in ICU: the role of environment”, J. Crit. Care, Accepted manuscript.
 J. Mackrill, R. Cain, and P. Jennings, “Experiencing the hospital ward soundscape: Towards a model,” J. Environ. Psychol., vol. 36, pp. 1–8, 2013.
 M. Topf, “Hospital noise pollution: an environmental stress model to guide research and clinical interventions,” J. Adv. Nurs., vol. 31, no. 3, pp. 520–528, Mar. 2000.
 J. M. Boyce, “Environmental contamination makes an important contribution to hospital infection,” J. Hosp. Infect., vol. 65, pp. 50–54, 2007.
 M. Dettenkofer and R. C. Spencer, “Importance of environmental decontamination – a critical view,” J. Hosp. Infect., vol. 65, pp. 55–57, 2007.
 S. J. Bosch et al, “To see or not to see: Investigating the links between patient visibility and potential moderators affecting the patient experience,” J. Environ. Psychol., vol. 47, pp. 33–43, Sep. 2016.
 S. L. Bernstein et al, “The effect of emergency department crowding on clinically oriented outcomes,” Acad. Emerg. Med., vol. 16, no. 1, pp. 1–10, Jan. 2009.
 C. H. Douglas and M. R. Douglas, “Patient-friendly hospital environments: exploring the patients’ perspective,” Heal. Expect., vol. 7, no. 1, pp. 61–73, Mar. 2004.
 R. Ulrich et al, “The Role of the physical environment in the hospital of the 21st Century: A once-in-a-lifetime opportunity,” 2004.
 A. Costopoulos, “Evaluating the impact of increasing memory on agent behaviour: Adaptive patterns in an agent based simulation of subsistence.” JASSS, 31-Oct-2001.
 R.M. Downs and D. Stea, “Cognitive maps and spatial behaviour: process and products,” in The Map Reader: Theories of Mapping Practice and Cartographic Representation, 1st ed., R. K. and C. P. Martin Dodge, Ed. John Wiley & Sons, Ltd, 2011.
 J. Y. Halpern and Y. Moses, “Knowledge and common knowledge in a distributed environment,” J. ACM, vol. 37, no. 3, pp. 549–587, 1990.
 R. M. Kitchin, “Cognitive maps: What are they and why study them?,” J. Environ. Psychol., vol. 14, no. 1, pp. 1–19, Mar. 1994.
 B. Tversky, “Cognitive maps, cognitive collages, and spatial mental models,” in Spatial Information Theory, A Theoretical Basis for GIS, 1993, pp. 14–24.
 Jan M. Wiener, Simon J. Büchner and C. Hölscher, “Taxonomy of human wayfinding tasks: A knowledge-based approach,” Spat. Cogn. Comput., vol. 9, pp. 152–165, 2009.