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Democratizing Mobilities Design Tools Using VR - Extended Abstract

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Published:08 October 2022Publication History

ABSTRACT

In collaboration with Metroselskabet in Copenhagen, Denmark, this project is an exploration of how virtual reality can support urban designers in visualizing crowd flow in Nørreport Metro Station. The aim was to visualize the simulated effects of rearranging the placement of electronic ticket validators. Four elements form the core of the prototype. First, crowd simulation using Unity’s NavMesh system, with agents driven by behavior trees. Second, VR technology to support an immersive and interactive experience. Third, a virtual environment based on Nørreport Metro Station. Fourth, a logging system so that data could be extracted from the simulated crowd flow, enabling further analysis by users. The project was evaluated on five participants, consisting of an expert heuristic evaluation along with cybersickness and presence questionnaires. Results showed great promise, and through multiple iterations the project was considered to be sufficient as a design tool for urban metro design.

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References

  1. M. Laura Angelini. 2021. Learning through simulations : ideas for educational practitioners (1st ed. 2021. ed.). Springer, Cham, Switzerland.Google ScholarGoogle ScholarCross RefCross Ref
  2. Jeremy Clifton and Stephen Palmisano. 2019. Effects of steering locomotion and teleporting on cybersickness and presence in HMD-based virtual reality. Virtual reality : the journal of the Virtual Reality Society 24, 3(2019), 453–468.Google ScholarGoogle Scholar
  3. Michele Colledanchise and Petter Ögren. 2017. Behavior Trees in Robotics and AI: An Introduction. Vol. abs/1709.00084. arXiv:1709.00084http://arxiv.org/abs/1709.00084Google ScholarGoogle Scholar
  4. Tim Cresswell. 2012. Mobilities II: Still. Progress in human geography 36, 5 (2012), 645–653.Google ScholarGoogle ScholarCross RefCross Ref
  5. Patrick Dickinson, Kathrin Gerling, · Kieran Hicks, John Murray, John Shearer, and Jacob Greenwood. 2019. Virtual reality crowd simulation: effects of agent density on user experience and behaviour. 23 (2019), 19–32. https://doi.org/10.1007/s10055-018-0365-0Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Malene Freudendal-Pedersen and Valentina Cuzzocrea. 2015. Cities and Mobilities. City & society 27, 1 (2015), 4–8.Google ScholarGoogle Scholar
  7. PTV Group. 2013. Final Assesment of PTV Viswalk. Case Study - PTV Viswalk (Nov. 2013). https://www.ptvgroup.com/fileadmin/user_upload/Areas_of_Application/Microscopic_Traffic_Simulation/AoA_Microscopic_SuccessStory_ProRail_Amsterdam_EN.pdfGoogle ScholarGoogle Scholar
  8. Kevin Hannam, Mimi Sheller, and John Urry. 2006. Editorial: Mobilities, Immobilities and Moorings. Mobilities 1, 1 (2006), 1–22.Google ScholarGoogle ScholarCross RefCross Ref
  9. Bentley Systems Inc.2022. Simulation and Modeling Software – LEGION Model Builder. https://www.bentley.com/en/products/product-line/mobility-simulation-and-analytics/legion-model-builderGoogle ScholarGoogle Scholar
  10. Ole B. Jensen, Claus Lassen, and Ida Sofie Gøtzsche Lange (Eds.). 2019. (1 ed.). Changing Mobilities, Vol. 1. Routledge, United Kingdom. https://doi.org/10.4324/9780429198496 Publisher Copyright: © 2020 selection and editorial matter, Ole B. Jensen, Claus Lassen and Ida Sofie..Google ScholarGoogle Scholar
  11. Robert S. Kennedy, Norman E. Lane, Kevin S. Berbaum, and Michael G. Lilienthal. 1993. Simulator Sickness Questionnaire: An Enhanced Method for Quantifying Simulator Sickness. The International Journal of Aviation Psychology 3, 3 (1993), 203–220. https://doi.org/10.1207/s15327108ijap0303_3 arXiv:https://doi.org/10.1207/s15327108ijap0303_3Google ScholarGoogle ScholarCross RefCross Ref
  12. UQO Cyberpsychology Lab. 2004. Presence Questionnaire. https://marketinginvolvement.files.wordpress.com/2013/12/pq-presence-questionnaire.pdfGoogle ScholarGoogle Scholar
  13. Jakob. Nielsen. 1994. Usability inspection methods. John Wiley & Sons, New York.Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. R Core Team. 2017. R: A Language and Environment for Statistical Computing. https://www.R-project.org/Google ScholarGoogle Scholar
  15. Carson Sievert. 2020. Interactive Web-Based Data Visualization with R, plotly, and shiny. Chapman and Hall/CRC. https://plotly-r.comGoogle ScholarGoogle Scholar
  16. Alistair Sutcliffe and Brian Gault. 2004. Heuristic evaluation of virtual reality applications. Interacting with Computers 16, 4 (2004), 831–849. https://doi.org/10.1016/j.intcom.2004.05.001Google ScholarGoogle ScholarCross RefCross Ref
  17. Unity Technologies ApS. 2020. Unity [Computer Software]. https://unity.com/ Version: 2020.3.24f1.1351.Google ScholarGoogle Scholar
  18. S. Mastrolembo Ventura, T. Hilfert, M. Archetti, M. Rizzi, A. Spezia, L. C. Tagliabue, E. Oliveri, and A. L.C. Ciribini. 2018. Evaluation of building use scenarios by crowd simulations and immersive virtual environments: A case study. ISARC 2018 - 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things (2018). https://doi.org/10.22260/ISARC2018/0076Google ScholarGoogle Scholar
  19. Hadley Wickham. 2009. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. http://ggplot2.orgGoogle ScholarGoogle ScholarDigital LibraryDigital Library

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          NordiCHI '22: Adjunct Proceedings of the 2022 Nordic Human-Computer Interaction Conference
          October 2022
          216 pages
          ISBN:9781450394482
          DOI:10.1145/3547522

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          • Published: 8 October 2022

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