@inproceedings{PB-VRVis-2017-019,
author = {Arbesser, Clemens and M{\"u}hlbacher, Thomas and Komornyik, Stefan and Piringer, Harald},
title = {Visual Analytics for Domain Experts: Challenges and Lessons Learned},
year = {2017},
booktitle = {Proceedings of the second international symposium on  Virtual Reality & Visual Computing},
editor = {VR Kebao (Tiajin) Science and Technology CO.,Ltd},
url = {https://www.vrvis.at/publications/PB-VRVis-2017-019},
publisher = {VR Kebao (Tiajin) Science and Technology CO.,Ltd},
pages = {1--6},
abstract = {In many fields, domain experts can benefit from applying visual an-  alytics solutions to their tasks and problems. Visual approaches are  often necessary for finding anomalies or structural changes in the  data, providing comprehensive overviews, formulating and testing  hypotheses, and many more. However, domain experts are rarely  visualization experts themselves. Off-the-shelf visualization soft-  ware is usually too powerful and complicated or too simple for their  professional needs.  In this paper, we present a strategy for creating powerful yet  easy-to-use visual analytics solutions for specific problem domains  and users. We also discuss challenges and report lessons learned  from developing visual analytics dashboards in a variety of domains  for almost three years.},
}