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Crowdsourced Urban Annotations and Augmented Reality as Design Thinking Tools to Navigate and Interact with Urban Data

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 12782)

Abstract

Urban data and urban analytics have become global phenomena as modern cities move towards institutionalizing the collection and the availability of statistical and urban-sensing data. Projects like the Citizen Sense, Smart Citizen, SONYC, and the New York City Open Data projec are but a few of many global initiatives that study and highlight the importance of working with urban data as means to annotate, measure, and build a smart city (Picon 2015) or a sentient city (Shepard 2011) whose present and futures rely heavily on the policies and strategies of collecting and analyzing urban data. Are urban data objective and un-opinionated snapshots of reality? Will presentation strategies and mediums influence how data is interpreted and used in designing the futures of the city? Are statistical and sensor data true representations of urban reality or are there other data that also needs to be considered, like oral histories and inter-city migration trails, to present a more accurate picture? This paper presents an HCI centric design research that addresses some of the questions and concerns regarding urban statistics and urban data as meta descriptors of the city, and as blueprints of the metropolis of the future.

Keywords

  • Conceptual design and planning
  • Design methods and techniques
  • Design thinking
  • Mixed reality and environments
  • Social design
  • UX (User Experience)

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  • DOI: 10.1007/978-3-030-77015-0_2
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Notes

  1. 1.

    https://www.census.gov/history/.

  2. 2.

    https://www2.census.gov/geo/pdfs/education/CensusTracts.pdf.

  3. 3.

    https://hoodmaps.com/.

  4. 4.

    https://datastories.city/.

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Correspondence to Omar Al Faleh .

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Al Faleh, O. (2021). Crowdsourced Urban Annotations and Augmented Reality as Design Thinking Tools to Navigate and Interact with Urban Data. In: Streitz, N., Konomi, S. (eds) Distributed, Ambient and Pervasive Interactions. HCII 2021. Lecture Notes in Computer Science(), vol 12782. Springer, Cham. https://doi.org/10.1007/978-3-030-77015-0_2

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  • DOI: https://doi.org/10.1007/978-3-030-77015-0_2

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  • Publisher Name: Springer, Cham

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