from two different perspectives, i.e., the one from the
map designer and the one from a visualization expert.
We identified different subgoals such as aesthetics,
understandability, intuitiveness, and readability in the
sense of user performance. A combination of these
goals can result in advanced metro maps serving as
good means to convey data but also to make metro
maps attractive to the eye and aesthetically appealing,
two major goals typically standing in a trade-off be-
havior. We illustrated the design of metro maps in a
real use case showing its design for the city of Sofia.
From a visualization perspective, user studies are per-
formed to measure the performance of people trying
to answer route finding tasks which depends on the
complexities of the maps that can lead to tremendous
design problems for the map designer, in particular
when many transportation systems like bus, metro, or
tube have to be displayed together.
For future work, we plan to collaborate, i.e., the
map designer raises questions that he is not able to
answer where the visualization expert designs user
studies with the goal to get hints about user perfor-
mance problems or even reading problems which can
be analyzed by applying eye tracking techniques for
recording and measuring time-varying visual atten-
tion paid to metro map stimuli. This is challenging
for static maps printed on a sheet of paper but be-
comes even more challenging for dynamic and inter-
active metro maps—maybe also on small displays like
smart phones.
ACKNOWLEDGEMENTS
We would like to thank the German Research Foun-
dation (DFG) for financial support within project B01
of SFB/Transregio 161.
REFERENCES
Andrienko, G. L., Andrienko, N. V., Burch, M., and
Weiskopf, D. (2012). Visual analytics methodology
for eye movement studies. IEEE Transactions on Visu-
alization and Computer Graphics, 18(12):2889–2898.
Battista, G. D., Eades, P., Tamassia, R., and Tollis, I. G.
(1999). Graph Drawing: Algorithms for the Visual-
ization of Graphs. Prentice-Hall.
Burch, M. (2015). The aesthetics of diagrams. In Proceed-
ings of International Conference on Information Visu-
alization Theory and Applications.
Burch, M., Andrienko, G., Andrienko, N., H
¨
oferlin, M.,
Raschke, M., and Weiskopf, D. (2013). Visual task
solution strategies in tree diagrams. In Proceedings
of the IEEE Pacific Visualization Symposium, pages
169–176.
Burch, M., Kurzhals, K., and Weiskopf, D. (2014a). Vi-
sual task solution strategies in public transport maps.
In Proceedings of the 2nd International Workshop on
Eye Tracking for Spatial Research, pages 32–36.
Burch, M., Raschke, M., Blascheck, T., Kurzhals, K., and
Weiskopf, D. (2014b). How do people read metro
maps? An eye tracking study. In Proceedings of 1st
International Workshop on Schematic Mapping.
Dow, A. (2005). Telling the Passenger where to Get Off:
George Dow and the Evolution of the Railway Dia-
grammatic Map. Capital Transport Publishing.
Fruchterman, T. M. J. and Reingold, E. M. (1991). Graph
drawing by force-directed placement. Software, Prac-
tice, and Experience, 21(11):1129–1164.
Garland, K. (1994). Mr. Beck’s Underground Map. Capital
Transport Publishing.
Horne, M.A.C.(2012). Information design as-
pects of the London underground map. http://
www.metadyne.co.uk/UndMap.html.
Huang, W. (2007). Using eye tracking to investigate graph
layout effects. In Proceedings of the Asia-Pacific Sym-
posium on Visualization, pages 97–100.
Huang, W., Eades, P., and Hong, S.-H. (2009). A
graph reading behavior: Geodesic-path tendency. In
Proceedings of the Pacific Visualization Symposium,
pages 137–144.
Kamada, T. and Kawai, S. (1989). An algorithm for draw-
ing general undirected graphs. Information Process-
ing Letters, 31(1):7–15.
Kurzhals, K., Fisher, B. D., Burch, M., and Weiskopf, D.
(2014). Evaluating visual analytics with eye tracking.
In Proceedings of the Fifth Workshop on Beyond Time
and Errors: Novel Evaluation Methods for Visualiza-
tion, pages 61–69.
Lam, H., Bertini, E., Isenberg, P., Plaisant, C., and Carpen-
dale, S. (2012). Empirical studies in information vi-
sualization: Seven scenarios. IEEE Transactions on
Visualization and Computer Graphics, 18(9):1520–
1536.
Netzel, R., Burch, M., and Weiskopf, D. (2014). Compara-
tive eye tracking study on node-link visualizations of
trajectories. IEEE Transactions on Visualization and
Computer Graphics, 20(12):2221–2230.
Ovenden, M. (2005). Metro Maps of the World. Capital
Transport Publishing, 2nd edition.
Ovenden, M. (2008). Paris Metro Style: In Map and Station
Design. Capital Transport Publishing.
Rosenholtz, R., Li, Y., Mansfield, J., and Jin, Z. (2005).
Feature congestion: a measure of display clutter. In
Proceedings of the Conference on Human Factors in
Computing Systems, pages 761–770.
Sugiyama, K., Tagawa, S., and Toda, M. (1981). Methods
for visual understanding of hierarchical system struc-
tures. IEEE Transactions on Systems, Man, and Cy-
bernetics, 11(2):109–125.
Ware, C., Purchase, H. C., Colpoys, L., and McGill, M.
(2002). Cognitive measurements of graph aesthetics.
Information Visualization, 1(2):103–110.
Yarbus, A. L. (1967). Eye Movements and Vision. New
York: Plenum Press.
IVAPP 2016 - International Conference on Information Visualization Theory and Applications
204