Veröffentlichungen

@inproceedings{Baum2016,

title = {A User-centered Approach for Optimizing Information Visualizations},

author = {David Baum and Pascal Kovacs and Ulrich Eisenecker and Richard Müller},

url = {http://wscg.zcu.cz/wscg2016/short/D89-full.pdf},

year  = {2016},

date = {2016-01-01},

booktitle = {24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision},

address = {Pilsen, Czech Republic},

abstract = {The optimization of information visualizations is time consuming and expensive. To reduce this we propose an improvement of existing optimization approaches based on user-centered design, focusing on readability, comprehensibility, and user satisfaction as optimization goals. The changes comprise (1) a separate optimization of user interface and representation, (2) a fully automated evaluation of the representation, and (3) qualitative user studies for simultaneously creating and evaluating interface variants. On the basis of these results we are able to find a local optimum of an information visualization in an efficient way.},

keywords = {evaluation, information visualization, optimization, usability, user-centered design},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Muller2014a,

title = {A Structured Approach for Conducting a Series of Controlled Experiments in Software Visualization},

author = {Richard Müller and Pascal Kovacs and Jan Schilbach and Ulrich Eisenecker and Dirk Zeckzer and Gerik Scheuermann},

doi = {10.5220/0004835202040209},

year  = {2014},

date = {2014-01-01},

booktitle = {5th International Conference on Visualization Theory and Applications},

pages = {204--209},

address = {Lisbon, Portugal},

abstract = {In the field of software visualization controlled experiments are an important instrument to investigate the specific reasons, why some software visualizations excel the expectations on providing insights and ease task solving while others fail doing so. Despite this, controlled experiments in software visualization are rare. A reason for this is the fact that performing such evaluations in general, and particularly performing them in a way that minimizes the threats to validity, is hard to accomplish. In this paper, we present a structured approach on how to conduct a series of controlled experiments in order to give empirical evidence for advantages and disadvantages of software visualizations in general and of 2D vs. 3D software visualizations in particular.},

keywords = {3D, controlled experiment, evaluation, software visualization},

pubstate = {published},

tppubtype = {inproceedings}

}