Designing Interactive Data Viz's that Work: Current Research & Future Directions

Details

Artur Lugmayr is an A/Prof. at Edith Cowan University (ECU), Australia and founded the startup company UXMachines Pty Ltd. in WA. His research is situated in the areas of data visualisation technologies, interactive media, media technology, human-computer-interaction, and media management. You can read more about his work at http://www.artur-lugmayr.com.

ABSTRACT
Big Data research requires the facilitation of modern methods to allow the creation of user-centred appealing data visualizations through data storytelling, dashboards, augmented and virtual environments, and graphics.

The growing amount of data requires a user-centred method to design and create appealing interactive experiences, enabling modern data scientists to create a visual presentation of the knowledge contained in rich data sets. The talk introduces
1) human aspects and information visualization;
2) gives a wide range of practical industrial examples;
3) presents processes and pipelines; and
4) introduces simple and more complex techniques for the web, spatial/temporal presentation, networks, maps, social networks, interactivity, and the Cloud.

A special attention is given to key-aspects such as design, development tools, human-centred aspects, and human cognition to allow the creation of easy interpretable and understandable data visualizations after attending this talk. Core technologies are explained on practical industrial examples, and a wide range of tools as e.g. D3.JS, Gephi Open Graph software, or Tableau are introduced as a takeaway.

Concepts, current research, human-centred requirements, and a pathway for future research directions are presented based industrial examples.

The talk is targeted towards a general audience with a technical background, but will benefit becoming data-scientists, information systems researchers, interaction designers, and developers in presenting the foundations of interactive data visualizations.