Abstract
Digital technologies and social networks offer several possibilities for improving the quality of life in Smart Cities. Citizens are willing to contribute to the efficiency of services that Smart Cities offer by reporting through different channels, such as phone/fax, front office, website, mobile app, sensors, several problems they observe in the city. This paper contributes to the advancement of the practice of HCI by describing an experience carried out with the employees of a municipality about the identification and implementation of interactive visualizations, in order to support them in the management of urban issues reported by citizens. The performed experience was inspired by the Cooperative Method Development (CMD), that emphasizes a strong collaboration between IT researchers and experts in a work practice, working side by side and being focused on the practitioners’ problems, in order to identify critical aspects and possible improvements that lead to the design and development of new software artifacts. The municipality employees greatly appreciated their active involvement in the overall CMD process, as well as the improvements on data analysis, thanks to the developed interactive visualizations that enable them to detect trends, anomalies and significant facts in the management of urban issues.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Buono, P., Costabile, M.F.: Insights on the development of visual tools for analysis of pollution data. In: Proceedings: DMS 2012 – 18th International Conference on Distributed Multimedia Systems (2012)
Goodchild, M.F.: Citizens as sensors: the world of volunteered geography. GeoJournal 69(4), 211–221 (2007). https://doi.org/10.1007/s10708-007-9111-y
Resch, B.: People as sensors and collective sensing-contextual observations complementing geo-sensor network measurements. In: Krisp, J. (eds.) Progress in Location-Based Services. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg (2013) https://doi.org/10.1007/978-3-642-34203-5_22
Dittrich, Y., Rönkkö, K., Eriksson, J., Hansson, C., Lindeberg, O.: Cooperative method development. Empir. Softw. Eng. 13(3), 231–260 (2008). https://doi.org/10.1007/s10664-007-9057-1
Ardito, C., Buono, P., Caivano, D., Costabile, M.F., Lanzilotti, R.: Investigating and promoting UX practice in industry: an experimental study. Int. J. Hum Comput Stud. 72(6), 542–551 (2014). https://doi.org/10.1016/j.ijhcs.2013.10.004
Ardito, C., Buono, P., Caivano, D., Costabile, M.F., Lanzilotti, R., Dittrich, Y.: Human-centered design in industry: lessons from the trenches. Computer (Long. Beach. Calif) 47(12), 86–89 (2014). https://doi.org/10.1109/mc.2014.355
Dittrich, Y., John, M., Singer, J., Tessem, B.: Editorial: for the special issue on qualitative software engineering research. Inf. Softw. Technol. 49(6), 531–539 (2007). https://doi.org/10.1016/j.infsof.2007.02.009
Sharp, H., deSouza, C., Dittrich, Y.: Using ethnographic methods in software engineering research. In: Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering-Volume 2, pp. 491–492 (2010)
Seaman, C.B.: Qualitative methods in empirical studies of software engineering. IEEE Trans. Softw. Eng. 25(4), 557–572 (1999). https://doi.org/10.1109/32.799955
Tukey, J.W.: Exploratory Data Analysis. Addison-Wesley (1977)
Card, S.K., Mackinlay, J.D., Shneiderman, B.: Using vision to think. In: Readings in Information Visualization: Using Vision to Think, San Francisco, CA, USA: Morgan Kaufmann Publishers Inc., pp. 579–581 (1999)
Ward, M., Grinstein, G., Keim, D.: Interactive Data Visualization: Foundations, Techniques, and Applications. A. K. Peters Ltd, USA (2010)
Nielsen, J.: Usability Engineering. Academic Press, New York (1993)
Shneiderman, B.: Tree visualization with tree-maps: 2-d space-filling approach. ACM Trans. Graph. 11(1), 92–99 (1992)
Bederson, B.B., Shneiderman, B., Wattenberg, M.: Ordered and quantum treemaps: making effective use of 2D space to display hierarchies. ACM Trans. Graph. 21(4), 833–854 (2002)
Fabri, M.: Thinking with a new purpose: lessons learned from teaching design thinking skills to creative technology students. In: Marcus, A. (ed.) DUXU 2015. LNCS, vol. 9186, pp. 32–43. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-20886-2_4
Buono, P., Legretto, A., Bertini, E., Costabile, M.F.: Visual techniques to compare predictive models. In: Proceedings of the 13th Biannual Conference of the Italian SIGCHI Chapter: Designing the next interaction, pp. 1–5 (2019)
Desolda, G., Ardito, C., Jetter, H.C., Lanzilotti, R.: Exploring spatially-aware cross-device interaction techniques for mobile collaborative sensemaking. Int. J. Hum. Comput. Stud. 122, 1–20 (2019) ISSN 1071-5819 https://doi.org/10.1016/j.ijhcs.2018.08.006
Ardimento, P., Baldassarre, M.T., Caivano, D., Visaggio, G.: Multiview framework for goal oriented measurement plan design. In: Bomarius, F., Iida, H. (eds.) PROFES 2004. LNCS, vol. 3009, pp. 159–173. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-540-24659-6_12
Costabile, M.F., Fogli, D., Lanzilotti, R., Mussio, P., Piccinno, A.: Supporting work practice through end-user development environments. J. Organ. End User Comput. 18(4), 43–65 (2006). https://doi.org/10.4018/joeuc.2006100103
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Buono, P., Costabile, M., Legretto, A., Marra, P. (2021). An Experience on Cooperative Development of Interactive Visualizations for the Analysis of Urban Data. In: Reis, T., Bornschlegl, M.X., Angelini, M., Hemmje, M.L. (eds) Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications. AVI-BDA ITAVIS 2020 2020. Lecture Notes in Computer Science(), vol 12585. Springer, Cham. https://doi.org/10.1007/978-3-030-68007-7_11
Download citation
DOI: https://doi.org/10.1007/978-3-030-68007-7_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-68006-0
Online ISBN: 978-3-030-68007-7
eBook Packages: Computer ScienceComputer Science (R0)