Collaborative design of IoT systems for smart cities with and for citizen participation

• Tatiana Silva de Alencar UFSCar
• Luciana Zaina UFSCar

DOI: https://doi.org/10.5753/ihc_estendido.2024.241666

Resumo

Urban populations have grown and consequently cities have turned increasingly to IoT. IoT helps cities to address complex urban challenges and enhance quality of life. This doctoral project investigates how co-design methodologies can be properly applied to effectively implement IoT solutions in smart cities. The research aims to develop a comprehensive framework that provides guidelines, procedures, and artifacts for supporting co-design in the complex smart cities ecosystem. The expected outcomes include a deeper understanding of co-design in smart city contexts and practical insights into stakeholder engagement and technology integration.

Referências

Abascal, J. and Nicolle, C. (2005). Moving towards inclusive design guidelines for socially and ethically aware hci. Interacting with computers, 17(5):484–505.

Ahvenniemi, H., Huovila, A., Pinto-Seppä, I., and Airaksinen, M. (2017). What are the differences between sustainable and smart cities? Cities, 60:234–245.

Alshami, A., Elsayed, M., Ali, E., Eltoukhy, A. E., and Zayed, T. (2023). Harnessing the power of chatgpt for automating systematic review process: Methodology, case study, limitations, and future directions. Systems, 11(7):351.

Amaro, A. C. and Oliveira, L. (2019). Playful interactions with smart and social objects. In 2019 14th Iberian Conference on Information Systems and Technologies (CISTI), pages 1–6. IEEE.

Berger, A., Ambe, A. H., Soro, A., De Roeck, D., and Brereton, M. (2019). The stories people tell about the home through iot toolkits. In Proceedings of the 2019 on designing interactive systems conference, pages 7–19.

Boztepe, S., Glöss, M., Grönvall, E., Christiansson, J., and Linde, P. (2023). Designing the city: Challenges and opportunities in digital public service design. In Proceedings of the 11th International Conference on Communities and Technologies, pages 266– 269.

Desa, U. et al. (2019). World urbanization prospects: The 2018 revision (st/esa/ser. a/420). United Nations: New York, NY, USA.

Hollan, J., Hutchins, E., and Kirsh, D. (2000). Distributed cognition: toward a new foundation for human-computer interaction research. ACM Transactions on Computer-Human Interaction (TOCHI), 7(2):174–196.

Hong, Q. N., Fàbregues, S., Bartlett, G., Boardman, F., Cargo, M., Dagenais, P., Gagnon, M.-P., Griffiths, F., Nicolau, B., O’Cathain, A., et al. (2018). The mixed methods appraisal tool (mmat) version 2018 for information professionals and researchers. Education for information, 34(4):285–291.

Khraisha, Q., Put, S., Kappenberg, J., Warraitch, A., and Hadfield, K. (2024). Can large language models replace humans in systematic reviews? evaluating gpt-4’s efficacy in screening and extracting data from peer-reviewed and grey literature in multiple languages. Research Synthesis Methods.

Landis, J. R. and Koch, G. G. (1977). The measurement of observer agreement for categorical data. biometrics, 159-174.

Mulvihill, P., O’Flynn, J., and Pesch, D. (2019). The internet of things for lifetime communities. IEEE Internet of Things Magazine, 2(2):15–19.

Rottleuthner, M., Schmidt, T. C., and Wählisch, M. (2019). Eco: A hardware-software co-design for in situ power measurement on low-end iot systems. In Proceedings of the 7th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems, pages 22–28.

Sanders, E. B.-N. and Stappers, P. J. (2014). Probes, toolkits and prototypes: three approaches to making in codesigning. CoDesign, 10(1):5–14.

Syed, A. S., Sierra-Sosa, D., Kumar, A., and Elmaghraby, A. (2021). Iot in smart cities: A survey of technologies, practices and challenges. Smart Cities, 4(2):429–475.

Wolff, A., Barker, M., Hudson, L., and Seffah, A. (2020). Supporting smart citizens: Design templates for co-designing data-intensive technologies. Cities, 101:102695.