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Urban Sensibilities, Sharing, and Interactive Public Spaces: In Search of a Good Correlation for Information and Communication in Smart Cities

  • H. Patricia McKenna
Conference paper
  • 78 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1129)

Abstract

The purpose of this paper is to explore the relationship between information and communication in the context of smart cities. A review of the research literature for information and communication in relation to sensibilities, sharing, and interactive public spaces in smart cities is provided in formulation of a theoretical perspective for this work. Using a case study approach in combination with an explanatory correlational design, this paper examines the relationship between communication, in the form of sharing and interactive public spaces, and information in the form of urban sensibilities in technology-rich smart cities. Findings reveal a glimpse of the complexities associated with the communication and information relationship in urban environments. This work is significant in that it contributes to the research literature for smart cities; points to the value of identifying patterns and relationships through involving people more directly and meaningfully in understandings of smart cities; and highlights the importance of identifying correlations to inform the development of smart cities and future cities going forward.

Keywords

Affect Affective computing Correlation Human sensing Interactions Patterns Relationships Sensibilities Sharing Smart cities 

Notes

Acknowledgments

This work was supported in part by an Independent Scholars Grant (2019) from the Canadian Academy of Independent Scholars (CAIS) through Simon Fraser University (SFU), Vancouver, British Columbia, Canada.

References

  1. 1.
    Gil-Garcia, J.R., Pardo, T.A., Nam, T.: A comprehensive view of the 21st century city: smartness as technologies and innovation in urban contexts. In: Gil-Garcia, R., Pardo, T.A., Nam, T. (eds.) Smarter as the New Urban Agenda: A Comprehensive View of the 21st Century City. Springer, San Antonio (2017)Google Scholar
  2. 2.
    Borsekova, K., Koróny, S., Vaňová, A., Vitálišová, K.: Functionality between the size and indicators of smart cities: a research challenge with policy implications. Cities 78, 17–26 (2018)CrossRefGoogle Scholar
  3. 3.
    Fidel, R.: Human Information Interaction: An Ecological Approach to Information Behavior. MIT Press, Cambridge (2012)CrossRefGoogle Scholar
  4. 4.
    Rickert, T.J.: Ambient Rhetoric: The Attunements of Rhetorical Being. University of Pittsburgh Press, Pittsburgh (2013)CrossRefGoogle Scholar
  5. 5.
    Guthier, B., Abaalkhail, R., Alharthi, R., El Saddik, A.: The affect-aware city. In: Proceedings of the International Conference on Computing, Networking and Communications, pp. 630–636 (2015)Google Scholar
  6. 6.
    Glaser, M., van ‘t Hoff, M., Karssenberg, H., Laven, J., van Teeffelen, J., (eds.): The City at Eye Level: Lessons and Street Plinths, 2nd and Extended edn. Eburon, Delft (2016). https://thecityateyelevel.files.wordpress.com/2013/01/the-city-at-eye-level.pdf. Accessed 30 June 2019
  7. 7.
    Gil-Garcia, J.R., Puron-Cid, G., Zhang, J.: Conceptualizing smartness in government: an integrative and multi-dimensional view. Gov. Inf. Q. 33(3), 524–534 (2016)CrossRefGoogle Scholar
  8. 8.
    Nam, T., Pardo, T.A.: Smart city as urban innovation: focusing on management, policy, and context. In: Proceedings of the 5th International Conference on Theory and Practice of Electronic Governance, pp. 185–194, Tallinn, Estonia, 26–28 September 2011Google Scholar
  9. 9.
    Batty, M.: Inventing Future Cities. MIT Press, Cambridge (2018)CrossRefGoogle Scholar
  10. 10.
    Abdel-Basset, M., Mohamed, M.: The role of single valued neutrosophic sets and rough sets in smart city: imperfect and incomplete information systems. Measurement 124, 47–55 (2018)CrossRefGoogle Scholar
  11. 11.
    Abaalkhail, R., Guthier, B., Alharthi, R., El Saddik, A.: Survey on ontologies for affective states and their influences. Seman. Web 9(4), 441–458 (2018)CrossRefGoogle Scholar
  12. 12.
    Anderson, J., Rainie, L., Luchsinger, A.: Artificial intelligence and the future of humans. Pew Research Center, Internet & Technology, Washington, DC (2018). https://www.pewinternet.org/2018/12/10/artificial-intelligence-and-the-future-of-humans/. Accessed 07 June 2019
  13. 13.
    Stephanidis, C., Salvendy, G. (Chairs), Antona, M., Chen, J.Y.C., Dong, J., Duffy, V.G., Fang, X., Fidopiastis, C., Fragomeni, G., Fu, L.P., Guo, Y., Harris, D., Ioannou, A., Jeong, K., Konomi, S., Krömker, H., Kurosu, M., Lewis, J.R., Marcus, A., Meiselwitz, G., Moallem, A., Mori, H., Nah, F.F.-H., Ntoa, S., Rau, P.-L.P., Schmorrow, D., Siau, K., Streitz, N., Wang, W., Yamamoto, S., Zaphiris P., Zhou, J. (Members of the Group): Seven HCI Grand Challenges. Int. J. Hum. Comput. Inter. 35(14), 1229–1269 (2019).  https://doi.org/10.1080/10447318.2019.1619259
  14. 14.
    Beye, M., Jeckmans, A. J., Erkin, Z., Hartel, P., Lagendijk, R. L., Tang, Q.: Privacy in online social networks. In: A. Abraham (ed.) Computational Social Networks: Security and Privacy, pp. 87–113. Springer-Verlag, London (2012).  https://doi.org/10.1007/978-1-4471-4051-1_4
  15. 15.
    Van der Ham, S.: Hybrid zones. In: M. Glaser, M. van ‘t Hoff, H. Karssenberg, J. Laven, J. van Teeffelen (eds.) The city at eye level: Lessons and street plinths, 2nd and extended edn. Eburon, Delft, Netherlands (2016)Google Scholar
  16. 16.
    Shutters, S.T.: Urban science: putting the “smart” in smart cities. Urban Sci. 2, 94 (2018)CrossRefGoogle Scholar
  17. 17.
    Ng, W.: Digital Technology in Education. Springer, Cham (2015).  https://doi.org/10.1007/978-3-319-05822-1_1CrossRefGoogle Scholar
  18. 18.
    Yin, R.K.: Case Study Research and Applications: Design and Methods. Sage, Thousand Oaks (2018)Google Scholar
  19. 19.
    Zaiontz, C.: Real Statistics using Excel (2019). www.real-statistics.com
  20. 20.
    Creswell, J.W.: Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, 6th edn. Pearson, Boston (2018)Google Scholar
  21. 21.
    Anderson, R.: Body intelligence scale: defining and measuring the intelligence of the body. Humanist Psychol. 34, 357–367 (2006)CrossRefGoogle Scholar
  22. 22.
    Sinclair, S., Rockwell, G.: Voyant tools (2016). https://voyant-tools.org. Accessed 8 June 2019

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • H. Patricia McKenna
    • 1
  1. 1.VictoriaCanada

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