1,778
Views
32
CrossRef citations to date
0
Altmetric
Original Articles

Seeing the city: using eye-tracking technology to explore cognitive responses to the built environment

, , , , , & show all

References

  • Albright, T. D. 1984. “Direction and Orientation Selectivity of Neurons in Visual Area MT of the Macaque.” Journal of Neurophysiology 52 (6): 1522–1598. doi:10.1152/jn.1984.52.6.1106.
  • Albright, T. D., and G. R. Stoner. 2002. “Contextual Influences on Visual Processing.” Annual Review of Neuroscience 25 (1): 339–379. doi:10.1146/annurev.neuro.25.112701.142900.
  • Barton, K. R., D. Valtchanov, and C. Ellard. 2012. “Seeing Beyond Your Visual Field.” Environment and Behavior 46 (4): 507–529. doi:10.1177/0013916512466094.
  • Duchowski, A. T. 2007. Eye Tracking Methodology: Theory and Practice. London: Springer.
  • Dupont, L., J. Pihel, A. Ode, and V. E. Veerle. 2013. “Analyzing the Perception of Water Surfaces in Urban Landscapes Using Eye Tracking.” International Association for Landscape Ecology Europe (IALE Europe). http://hdl.handle.net/1854/LU-4301148
  • Dzebic, V., J. S. Perdue, and C. G. Ellard. 2013. “The Influence of Visual Perception on Responses Towards Real-World Environments and Application Towards Design.” Intelligent Buildings International 5 (Sup1): 29–47. doi:10.1080/17508975.2013.807766.
  • Ehinger, K. A., B. Hidalgo-Sotelo, A. Torralba, and A. Oliva. 2009. “Modelling Search for People in 900 Scenes: A Combined Source Model of Eye Guidance.” Visual Cognition 17 (6–7): 945–978. doi:10.1080/13506280902834720.
  • Ellard, C. 2015. Places of the Heart. New York: Bellevue Literary Press.
  • Ewing, R., and K. Bartholomew. 2013. Pedestrian and Transit-Oriented Design. Washington, DC: Urban Land Institute and American Planning Association.
  • Hollander, J. B., and V. Foster. 2016. “Brain Responses to Architecture and Planning: A Neuro-Assessment of the Pedestrian Experience in Boston, Massachusetts.” Architectural Science Review 59 (6): 474–481. doi:10.1080/00038628.2016.1221499.
  • Holmqvist, K., M. Nystrom, R. Andersson, R. Dewhurst, H. Jarodska, and V. D. W. Joost. 2011. Eye Tracking: A Comprehensive Guide to Methods and Measures. Oxford: Oxford Univ. Press.
  • Jacob, R. J. K., and H. E. Egeth. 1976. “The Face as a Data Display.” Human Factors 18: 189–199. doi:10.1177/001872087601800207.
  • Kandel, E. R. 2012. The Age of Insight: The Quest to Understand the Unconscious in Art, Mind and Brain from Vienna 1900 to the Present. 1st ed. New York: Random House.
  • Kaplan, D. H. 1998. “The Spatial Structure of Urban Ethnic Economies.” Urban Geography 19 (6): 489–501. doi:10.2747/0272-3638.19.6.489.
  • Kaplan, R., and S. Kaplan. 1989. The Experience of Nature: A Psychological Perspective. Cambridge: Cambridge University Press.
  • Kiefer, P., I. Giannopoulos, and M. Raubal. 2014. “Where Am I? Investigating Map Matching during Self‐Localization with Mobile Eye Tracking in an Urban Environment.” Transactions in GIS 18 (5): 660–686. doi:10.1111/tgis.2014.18.issue-5.
  • Kiefer, P., I. Giannopoulos, M. Raubal, and A. Duchowski. 2017. “Eye Tracking for Spatial Research: Cognition, Computation, Challenges.” Spatial Cognition & Computation 17 (1–2): 1–19. doi:10.1080/13875868.2016.1254634.
  • Klein, T. M., T. Drobnik, and G.-R. Adrienne. 2016. “Shedding Light on the Usability of Ecosystem Services-Based Decision Support Systems: An Eye-Tracking Study Linked to the Cognitive Probing Approach.” Ecosystem Services 19: 65–86. doi:10.1016/j.ecoser.2016.04.002.
  • Lucio, J. V., M. De, Mohamadian, J. P. Ruiz, J. Banayas, and F. G. Bernaldez. 1996. “Visual Landscape Exploration as Revealed by Eye Movement Tracking.” Landscape and Urban Planning 34 (2): 135–142. doi:10.1016/0169-2046(95)00208-1.
  • Lynch, K. 1960. The Image of the City. Vol. 11. Cambridge, MA: MIT press.
  • Noland, Robert B, Marc D Weiner, and Michael P Dong Gao. Cook & AntonNelessen (2017) Eye-tracking technology, visual preference surveys, and urban design: preliminaryevidence of an effective methodology, Journal of Urbanism: International Research on Placemakingand Urban Sustainability, 10: 1,98-110, DOI: 10.1080/17549175.2016.1187197
  • Poole, A., and L. J. Ball. 2006. “Eye Tracking in HCI and Usability Research.” Encyclopedia of Human Computer Interaction 211–219. doi:10.4018/978-1-59140-562-7.ch034.
  • Potocka, I. 2013. “The Lakescape in the Eyes of a Tourist.” Quaestiones Geographicae 32: 3. doi:10.2478/quageo-2013-0018.
  • Reilly, J., and J. Kean. 2007. “Formal Distinctiveness of High-And Low-Imageability Nouns: Analyses and Theoretical Implications.” Cognitive Science 31 (1): 157–168. doi:10.1080/03640210709336988.
  • Robinson, S., and J. Pallasmaa. 2015. Mind in Architecture: Neuroscience, Embodiment, and the Future of Design. Cambridge, MA: MIT Press.
  • Sussman, A., and J. B. Hollander. 2015. Cognitive Architecture: Designing for How We Respond to the Built Environment. London/New York: Routledge.
  • Torralba, A., A. Oliva, M. S. Castelhano, and J. M. Henderson. 2006. “Contextual Guidance of Eye Movements and Attention in Real-World Scenes: The Role of Global Features in Object Search.” Psychological Review 113 (4): 766. doi:10.1037/0033-295X.113.4.766.
  • Valtchanov, D., and C. G. Ellard. 2015. “Cognitive and Affective Responses to Natural Scenes: Effects of Low Level Visual Properties on Preference, Cognitive Load and Eye-Movements.” Journal of Environmental Psychology 43: 184–195. doi:10.1016/j.jenvp.2015.07.001.
  • Wells, N. M., S. P. Ashdown, E. H. Davies, F. D. Cowett, and Y. Yang. 2007. “Environment, Design, and Obesity Opportunities for Interdisciplinary Collaborative Research.” Environment and Behavior 39 (1): 6–33. doi:10.1177/0013916506295570.
  • Zeisel, J., N. M. Silverstein, J. Hyde, S. Levkoff, L. M. Powell, and W. Holmes. 2003. “Environmental Correlates to Behavioral Health Outcomes in Alzheimer’s Special Care Units.” The Gerontologist 43 (5): 697–711. doi:10.1093/geront/43.5.697.
  • Zhang, L., J. Gossmann, C. Stevenson, M. Chi, G. Cauwenberghs, K. Gramann, J. Schulze et al. “Spatial Cognition and Architectural Design in 4d Immersive Virtual Reality: Testing Cognition with a Novel Audiovisual Cave-Cad Tool.” In Proceedings of the Spatial Cognition for Architectural Design Conference. La Jolla, CA: California Institute for Telecommunications and Information Technology (Calit2), University of California, San Diego (UCSD)

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.