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This book constitutes the proceedings of the 28th International
Symposium on Graph Drawing and Network Visualization, GD 2021,
which was held in Tubingen, Germany, during September 14-17,
2021.The 23 full papers and 5 short papers presented in these
proceedings were carefully reviewed and selected from 74
submissions. The abstracts of 13 posters presented at the
conference can be found in the back matter of the volume. The
contributions were organized in topical sections as follows: Best
Paper (Track 1: Combinatorial and Algorithmic Aspects); Best Paper
(Track 2: Experimental, Applied, and Network Visualization
Aspects); Crossing Minimization and Beyond-Planarity; Morphing and
Graph Abstraction; Geometric Constraints; Topological and Upward
Drawings; Linear Layouts; Contact and Visibility Representations;
Geometric Aspects in Graph Drawing; AI applications; and Graph
Drawing Contest Report.
As the outcome of the Dagstuhl Seminar 15481 on Crowdsourcing and
Human-Centered Experiments, this book is a primer for computer
science researchers who intend to use crowdsourcing technology for
human centered experiments. The focus of this Dagstuhl seminar,
held in Dagstuhl Castle in November 2015, was to discuss
experiences and methodological considerations when using
crowdsourcing platforms to run human-centered experiments to test
the effectiveness of visual representations. The inspiring Dagstuhl
atmosphere fostered discussions and brought together researchers
from different research directions. The papers provide information
on crowdsourcing technology and experimental methodologies,
comparisons between crowdsourcing and lab experiments, the use of
crowdsourcing for visualisation, psychology, QoE and HCI empirical
studies, and finally the nature of crowdworkers and their work,
their motivation and demographic background, as well as the
relationships among people forming the crowdsourcing community.
Experiments that require the use of human participants are time
consuming and costly: it is important to get the process right the
first time. Planning and preparation are key to success. This
practical book takes the human-computer interaction researcher
through the complete experimental process, from identifying a
research question to designing and conducting an experiment, and
then to analyzing and reporting the results. The advice offered in
this book draws on the author's twenty years of experience running
experiments. In describing general concepts of experimental design
and analysis she refers to numerous worked examples that address
the very real practicalities and problems of conducting an
experiment, such as managing participants, getting ethical
approval, preempting criticism, choosing a statistical method, and
dealing with unexpected events.
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