Speaker: M. Sc. Lena Cibulski (Fraunhofer IGD & TU Darmstadt, Germany)
Abstract:
This talk provides different perspectives on using data visualization to assist and inform choices. We face many choices in our personal and professional lives. Computing has made it easy to compile large numbers of options to choose from. Identifying the best solution among such a set is called multi-attribute choice. With no objectively optimal solution present, our human judgment is needed to trade off conflicting goals.
Data visualization is a powerful tool to help us explore and make sense of available courses of action. While many interactive visualizations already live in the context of decision-making, how to design for humans who make decisions with visualized data continues to be a vibrant research area. In this talk, I will touch upon different properties of multi-attribute choices. I will also hint at the role of related disciplines like decision theory. Finally, I will lay out some open visualization challenges along with examples where our visualizations helped learn what level of performance is achievable under which conditions.
Short Bio:
Lena Cibulski is a visualization researcher at Fraunhofer IGD and a PhD candidate at Technical University of Darmstadt, Germany. She received her master’s degree in computer science in 2017 from Otto-von-Guericke University Magdeburg, where she soon found her way into visualization research. She completed her bachelor studies with a six-month stay at the VRVis Research Center in Vienna. Lena is currently a visiting researcher at JKU Linz. Her research is at the intersection between visualization and multi-attribute decision-making, with an emphasis on design studies for engineering applications. Lena conducts industrial and research projects that aim at assisting and informing decisions by using interactive visualization. She is particularly interested in multidisciplinary collaborations to encourage discussions on human factors, methodological aspects, and applications.
