Abstract
The quality of daily life is a key factor in today’s urban development. This is a complex aspect, as different groups of citizens understand it quite differently and have different needs. This is particularly important for people with disabilities. When thinking about solutions for smart cities, there are a few approaches for the identification of the problems or obstacles that their implementation poses for different groups of people. Addressing this issue requires tools that provide an interdisciplinary perspective, so the proposed smart solutions really promote the improvement of the quality and well-being of all citizens in cities. In this line, this paper presents a tool that facilitates collaboration among stakeholders through identifying and analysing the elements that prevent a smart city solution from being inclusive. The platform is based on visual novels that illustrate how the solution would work in real settings. Users comment on the novel, play with it to discover and evaluate the solution, and propose changes. Then, a natural language processing engine analyses their comments, and returns the identified non-inclusive situations, ideas for improvement or solutions, and the degree of affinity that each participant has with each of them. The tool has been validated in a mobility scenario. There, three groups of people with different needs used the tool to identify obstacles and non-inclusive situations. The results have been used to assess and improve the tool.
This work has been partially supported by the projects “Collaborative design for promoting wellness in inclusive smart cities (DColbici3)” (grant TIN2017-88327-R), funded by Spanish Ministry for Economy and Competitiveness under, and “Women, Disability and Inclusion (MILIEU)” (grant 952369) and “Reshaping Attention and Inclusion Strategies for Distinctively vulnerable people among the forcibly displaced (RAISD)” (grant 822688), of the Horizon 2020 research and innovation programme.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Camero, A., Alba, E.: Smart city and information technology: a review. Cities 93, 84–94 (2019)
Cárdenas, M., Castillo, N.G., Gómez-Sanz, J., Pavón, J.: Participatory design with on-line focus groups and normative systems. In: Herrera, F., et al. (eds.) CAEPIA 2018. LNCS (LNAI), vol. 11160, pp. 66–75. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-00374-6_7
Cárdenas, M., Sanz, J.G., Pavón, J.: Testing ambient assisted living solutions with simulations. In: Medina-Bulo, I., Merayo, M.G., Hierons, R. (eds.) ICTSS 2018. LNCS, vol. 11146, pp. 56–61. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-99927-2_5
Cardullo, P., Kitchin, R.: Being a ‘citizen’ in the smart city: up and down the scaffold of smart citizen participation in Dublin, Ireland. GeoJournal 84(1), 1–13 (2019)
Fuentes-Fernández, R., Gómez-Sanz, J.J.: Interpreting information in smart environments with social patterns. In: Slavkovik, M. (ed.) EUMAS 2018. LNCS (LNAI), vol. 11450, pp. 48–61. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-14174-5_4
Indurkhya, N., Damerau, F.J.: Handbook of Natural Language Processing, vol. 2. CRC Press, Boca Raton (2010)
Kummitha, R.K.R., Crutzen, N.: Smart cities and the citizen-driven internet of things: a qualitative inquiry into an emerging smart city. Technol. Forecasting Soc. Change 140, 44–53 (2019)
de Oliveira Neto, J.S., Kofuji, S.T.: Inclusive smart city: an exploratory study. In: Antona, M., Stephanidis, C. (eds.) UAHCI 2016. LNCS, vol. 9738, pp. 456–465. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-40244-4_44
Pribyl, O., Svitek, M.: System-oriented approach to smart cities. In: 2015 Photonics North, pp. 1–8. IEEE (2015)
Simonofski, A., Asensio, E.S., De Smedt, J., Snoeck, M.: Citizen participation in smart cities: evaluation framework proposal. In: 2017 IEEE 19th Conference on Business Informatics (CBI). vol. 1, pp. 227–236. IEEE (2017)
Sun, S., Luo, C., Chen, J.: A review of natural language processing techniques for opinion mining systems. Inf. Fusion 36, 10–25 (2017)
Zhao, Y., Pour, F.F., Golestan, S., Stroulia, E.: Bim Sim/3D: multi-agent human activity simulation in indoor spaces. In: 2019 IEEE/ACM 5th International Workshop on Software Engineering for Smart Cyber-Physical Systems (SEsCPS), pp. 18–24. IEEE (2019)
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
González-Briones, A., García-Magariño, I., Gómez-Sanz, J.J., Fuentes-Fernández, R., Pavón, J. (2021). A Collaborative Platform for the Detection of Non-inclusive Situations in Smart Cities. In: Alba, E., et al. Advances in Artificial Intelligence. CAEPIA 2021. Lecture Notes in Computer Science(), vol 12882. Springer, Cham. https://doi.org/10.1007/978-3-030-85713-4_20
Download citation
DOI: https://doi.org/10.1007/978-3-030-85713-4_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-85712-7
Online ISBN: 978-3-030-85713-4
eBook Packages: Computer ScienceComputer Science (R0)