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Information Visualization and Visual Analytics at IVU Lab

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Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications (AVI-BDA 2020, ITAVIS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12585))

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Abstract

This paper summarizes some works performed in Information Visualization and Visual Analytics in the last two decades at the IVU Lab (Interaction, Visualization and Usability and UX Laboratory) of the University of Bari Aldo Moro. This Lab has a long tradition in HCI. At the IVU Lab, Paolo Buono is the coordinator of the Information Visualization and Visual Analytics activities and he (co)authored the publications that resulted from the research on this topic.

http://ivu.di.uniba.it.

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References

  1. Andriani, E., Brattoli, M., Buono, P., De Gennaro, G., De Gennaro, L., Mazzone, A.: A gis tool for atmospheric emission management in south of italy. Fresen. Environ. Bull. 21(11A), 3325–3329 (2012)

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  2. Appice, A., Buono, P.: Analyzing multi-level spatial association rules through a graph-based visualization. In: Ali, M., Esposito, F. (eds.) IEA/AIE 2005. LNCS (LNAI), vol. 3533, pp. 448–458. Springer, Heidelberg (2005). https://doi.org/10.1007/11504894_63

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  3. Bruzzese, D., Buono, P.: Combining visual techniques for association rules exploration. In: Proceedings of the Working Conference on Advanced Visual Interfaces, pp. 381–384 (2004). https://doi.org/10.1145/989863.989930

  4. Buono, P.: A low cost system for home energy consumption awareness. In: Am I 2015 - CEUR Workshop Proceedings. vol. 1528. CEUR (2015). http://ceur-ws.org/Vol-1528/paper9.pdf

  5. Buono, P.: A circular visualization technique for collaboration and quantifying self. In: Proceedings of the Workshop on Advanced Visual Interfaces AVI. vol. 07–10-June-2016, pp. 348–349 (2016). https://doi.org/10.1145/2909132.2926091

  6. Buono, P., Aris, A., Plaisant, C., Khella, A., Shneiderman, B.: Interactive pattern search in time series. In: Visualization and Data Analysis 2005. International Society for Optics and Photonics, vol. 5669, pp. 175-186 (2005). https://doi.org/10.1117/12.587537

  7. Buono, P., Caivano, D., Costabile, M.F., Desolda, G., Lanzilotti, R.: Towards the detection of ux smells: the support of visualizations. IEEE Access 8, 6901–6914 (2020). https://doi.org/10.1109/ACCESS.2019.2961768

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  8. Buono, P., Costabile, M.F.: Visualizing association rules in a framework for visual data mining. In: Hemmje, M., Niederée, C., Risse, T. (eds.) From Integrated Publication and Information Systems to Information and Knowledge Environments. LNCS, vol. 3379, pp. 221–231. Springer, Heidelberg (2005). https://doi.org/10.1007/978-3-540-31842-2_22

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  9. Buono, P., Costabile, M.: Insights on the development of visual tools for analysis of pollution data. In: DMS, pp. 54–59 (2012)

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  10. Buono, P., Costabile, M., Lanzilotti, R.: A circular visualization of people’s activities in distributed teams. J. Visual Lang. Comput. 25(6), 903–911 (2014). https://doi.org/10.1016/j.jvlc.2014.10.025

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  11. Buono, P., Desolda, G., Lanzilotti, R.: Scenes extraction from videos of telementored surgeries. In: DMS, pp. 106–111 (2013)

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  12. Buono, P., Legretto, A., Ferilli, S., Angelastro, S.: A visual analytic approach to analyze highway vehicular traffic. In: 22nd International Conference Information Visualisation (IV), pp. 204–209 (2018). https://doi.org/10.1109/iV.2018.00044

  13. Buono, P., et al.: Similarity-based forecasting with simultaneous previews: a river plot interface for time series forecasting. In: 11th International Conference Information Visualization (IV2007), pp. 191–196 (2007). https://doi.org/10.1109/IV.2007.101

  14. Buono, P., Simeone, A.: Video abstraction and detection of anomalies by tracking movements. In: Proceedings of the International Conference on Advanced Visual Interfaces, pp. 249–252 (2010). https://doi.org/10.1145/1842993.1843036

  15. Buono, P., Carella, P.: Towards secure mobile learning. visual discovery of malware patterns in android apps. In: Banissi, E., et al. (eds.) 23rd International Conference on Information Visualisation, IV 2019, Paris, France, Part I. July 2–5, 2019, pp. 364–369. IEEE (2019). https://doi.org/10.1109/IV.2019.00068

  16. Buono, P., Legretto, A., Bertini, E., Costabile, M.F.: Visual techniques to compare predictive models. In: Proceedings of HCItaly 2019. CHItaly 2019, Association for Computing Machinery, New York, NY, USA (2019). https://doi.org/10.1145/3351995.3352035

  17. Hilviu, D., Rapp, A.: Narrating the quantified self. In: Adjunct Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing and International Symposium on Wearable Computers. UbiComp/ISWC’15 Adjunct, ACM, New York, NY, USA, pp. 1051–1056 (2015). https://doi.org/10.1145/2800835.2800959

  18. Keim, D., Andrienko, G., Fekete, J.-D., Görg, C., Kohlhammer, J., Melançon, G.: Visual analytics: definition, process, and challenges. In: Kerren, A., Stasko, J.T., Fekete, J.-D., North, C. (eds.) Information Visualization. LNCS, vol. 4950, pp. 154–175. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-70956-5_7

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  19. Pister, A., Buono, P., Fekete, J.-D., Plaisant, C., Valdivia, P.: Integrating prior knowledge in mixed-initiative social network clustering. In: IEEE Transactions on Visualization and Computer Graphics (2020). https://doi.org/10.1109/TVCG.2020.3030347

  20. Valdivia, P., Buono, P., Fekete, J.D.: Hypenet: visualizing dynamic hypergraphs. In: Puig, A.P., Isenberg, T. (eds.) EuroVis 2017 - Posters. The Eurographics Association (2017). https://doi.org/10.2312/eurp.20171162

  21. Valdivia, P., Buono, P., Plaisant, C., Dufournaud, N., Fekete, J.-D.: Analyzing dynamic hypergraphs with parallel aggregated ordered hypergraph visualization. IEEE Trans. Vis. Comput. Graph. 27(1), 1–13 (2021). https://doi.org/10.1109/TVCG.2019.2933196

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Acknowledgements

The author wishes to thank the member of IVU Lab for the fruitful discussions and the continuous collaboration over time that led to successful work and many interesting insights.

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Authors and Affiliations

  1. Dipartimento di Informatica, Università Degli Studi di Bari Aldo Moro, Via E. Orabona, 4, Bari, Italy

    Paolo Buono

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  1. Paolo Buono
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Correspondence to Paolo Buono .

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Editors and Affiliations

  1. University of Hagen, Hagen, Germany

    Thoralf Reis

  2. University of Hagen, Hagen, Germany

    Marco X. Bornschlegl

  3. Sapienza University of Rome, Rome, Italy

    Marco Angelini

  4. University of Hagen, Hagen, Germany

    Matthias L. Hemmje

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Buono, P. (2021). Information Visualization and Visual Analytics at IVU Lab. 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_13

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  • DOI: https://doi.org/10.1007/978-3-030-68007-7_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-68006-0

  • Online ISBN: 978-3-030-68007-7

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