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Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework

Figueredo, Grazziela P.; Wagner, Christian; Garibaldi, Jonathan M.; Aickelin, Uwe


Uwe Aickelin


In this position paper, we present ideas about creating a next generation framework towards an adaptive interface for data communication and visualisation systems. Our objective is to develop a system that accepts large data sets as inputs and provides user-centric, meaningful visual information to assist owners to make sense of their data collection. The proposed framework comprises four stages: (i) the knowledge base compilation, where we search and collect existing state-of-the-art visualisation techniques per domain and user preferences; (ii) the development of the learning and inference system, where we apply artificial intelligence techniques to learn, predict and recommend new graphic interpretations (iii) results evaluation; and (iv) reinforcement and adaptation, where valid outputs are stored in our knowledge base and the system is iteratively tuned to address new demands. These stages, as well as our overall vision, limitations and possible challenges are introduced in this article. We also discuss further extensions of this framework for other knowledge discovery tasks.


Figueredo, G. P., Wagner, C., Garibaldi, J. M., & Aickelin, U. (2015). Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework. .

Conference Name 9th IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE-15)
Start Date Aug 20, 2015
End Date Aug 22, 2015
Acceptance Date May 31, 2015
Online Publication Date Dec 3, 2015
Publication Date Dec 3, 2015
Deposit Date Oct 14, 2015
Publicly Available Date Dec 3, 2015
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
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