Interação Humano-Dados: Análise de Dados no contexto de geoprocessamento
Abstract
Data has become an increasingly common artifact in daily life. Regarding geoprocessing, tools with this characteristic have been used to provide publicly relevant information in Brazil. Thus, considering that users with different levels of knowledge can interact with the data, ensuring the quality of this interaction becomes essential. This study presents two heuristic evaluations conducted with geoprocessing systems containing public data from the Brazilian government, aiming to identify the main sources of usability problems and propose categories that represent the causes of usability problems in the context of human-data interaction in geoprocessing.References
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Nakić, J., Kosović, I. N., and Franić, A. (2022). User-centered design as a method for engaging users in the development of geovisualization: A use case of temperature visualization. Applied Sciences, 12(17):8754.
Nielsen, J. and Molich, R. (1990). Heuristic evaluation of user interfaces. In Proceedings of the SIGCHI conference on Human factors in computing systems, pages 249–256.
Victorelli, E. Z., Dos Reis, J. C., Hornung, H., and Prado, A. B. (2020). Understanding human-data interaction: Literature review and recommendations for design. International Journal of Human-Computer Studies, 134:13–32.
Victorelli, E. Z. and Reis, J. C. D. (2020). Human-data interaction design guidelines for visualization systems. In Proceedings of the 19th Brazilian Symposium on Human Factors in Computing Systems, pages 1–10.
Wei, L. L. Y., Ibrahim, A. A. A., Nisar, K., Ismail, Z. I. A., and Welch, I. (2020). Survey on geographic visual display techniques in epidemiology: Taxonomy and characterization. Journal of Industrial Information Integration, 18:100139.
Werman, T. (2021). Human data interaction (hdi): The new information frontier. https://encurtador.com.br/puEK3.
Ziegler, P. and Chasins, S. E. (2023). A need-finding study with users of geospatial data. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, pages 1–16.
Published
2023-10-16
How to Cite
CAPELETI, Bruna S.; FREIRE, André P.; SANTOS, Caroline Q.; FRANÇA, Juliana B. S..
Interação Humano-Dados: Análise de Dados no contexto de geoprocessamento. In: WORKSHOP ON INTERACTIONS WITH DATA EXPERIENCES (WIDE), 2. , 2023, Maceió/AL.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 36-43.
DOI: https://doi.org/10.5753/wide.2023.236106.
