The Eye-tracking Study of the Line Charts in Dashboards Design

Pavel A. Orlov, Tatiana Ermolova, Vladimir Laptev, Alexey Mitrofanov, Vladimir Ivanov

2016

Abstract

Dashboards are an important field for an investigation as they are the visual part of the management information systems. Our study aimed to find out the effects of the changes in the types and numbers of line graphs that can be displayed on a single screen simultaneously. Two laboratory experiments were conducted using an eye-tracker to find out how subjects' perception of line graphs on dashboards changes with increase in graph numbers, changes in sizes and increase of the overall area taken up by the graphs on the screen. We show that if the graphs take up the same area, the subjects perceive the line graphs displayed simultaneously in a similar manner. If the subjects are shown an increasing number of graphs of the same size, the subjects take longer to respond to tasks and have higher fixation count per each stimuli. The study revealed that there is no correlation between graph's slope (trend) and subjects' perception.

References

  1. Bera, P. (2014). Do Distracting Dashboards Matter? Evidence from an Eye Tracking Study. In Information Systems: Education, Applications, Research, pages 65-74. Springer.
  2. Brath, R. and Peters, M. (2004). Dashboard Design: Why Design is Important. Data Mining Review/Data Mining Direct, (October).
  3. Bridgeman, B., Van der Heijden, A. H. C., and Velichkovsky, B. M. (1994). A theory of visual stability across saccadic eye movements. Behavioral and Brain Sciences, 17(02):247-258.
  4. Burgert, O., Orn, V., Velichkovsky, B. M., Gessat, M., Joos, M., Strauss, G., Tietjen, C., Preim, B., and Hertel, I. (2007). Evaluation of Perception Performance in Neck Dissection Planning using Eye Tracking and Attention Landscapes. In Jiang, Y. and Sahiner, B., editors, SPIE Proceedings, page 9 pages. Society of Photo-Optical Instrumentation Engineers.
  5. Cleveland, W. S. and McGill, R. (1985). Graphical Perception and Graphical Methods for Analyzing Scientific Data. Science, 229(4716):828-833.
  6. Cleveland, W. S. and McGill, R. (1987). Graphical perception: The visual decoding of quantitative information on graphical displays of data. Journal of the Royal Statistical Society. Series A (General), pages 192-229.
  7. Duchowski, A. (2007). Eye Tracking Methodology. Springer Science+Business Media, London.
  8. Few, S. (2006). Information dashboard design. O'Reilly.
  9. Goldberg, J. H. and Helfman, J. I. (2010). Comparing Information Graphics: A Critical Look at Eye Tracking. In 3rd BELIV'10 Workshop: Beyond time and errors: Novel evaluation methods for information visualization., pages 71-78. ACM.
  10. Harel, E. C. and Sitko, T. D. (2003). Driving Higher Education Decisions. Research Bulletin, 1(19):2-10.
  11. Jacob, R. J. K. and Karn, K. S. (2003). Eye tracking in HumanComputer interaction and usability research: Ready to deliver the promises. The Mind's Eye: Cognitive and Applied Aspects of Eye Movement Research, pages 573-605.
  12. Newman, G. E. and Scholl, B. J. (2012). Bar graphs depicting averages are perceptually misinterpreted: The within-the-bar bias. Psychonomic Bulletin & Review, 19(4):601-607.
  13. Orlov, P. A., Laptev, V. V., and Ivanov, V. M. (2014). For the question about eye-tracking applying. St. Petersburg State Polytechnical University Journal. Computer Science. Telecommunication and Control Systems., 5(205):84-94.
  14. Rayner, K. (2009). Eye movements and attention in reading, scene perception, and visual search. Quarterly journal of experimental psychology (2006), 62(8):1457-1506.
  15. van den Elzen, S. and van Wijk, J. J. (2013). Small multiples, large singles: A new approach for visual data exploration. In Computer Graphics Forum, volume 32, pages 191-200. Wiley Online Library.
  16. Velichkovsky, B. M. (2006). Cognitive Science: Foundations of epistemic psychology. [Kognitivnaya nauka : Osnovy psihologii poznaniya], volume 2. Smusl: Publisher center Akademia, Moscow.
  17. Yarbus, A. L. (1965). Eye movements and vision [Rol dvijenyi glaz v procecce zrenia]. ”Nauka”, Moscow.
  18. Yost, B. and North, C. (2006). The perceptual scalability of visualization. IEEE Transactions on Visualization and Computer Graphics, 12(5):837-844.
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Paper Citation


in Harvard Style

Orlov P., Ermolova T., Laptev V., Mitrofanov A. and Ivanov V. (2016). The Eye-tracking Study of the Line Charts in Dashboards Design . In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: IVAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 203-211. DOI: 10.5220/0005692102030211


in Bibtex Style

@conference{ivapp16,
author={Pavel A. Orlov and Tatiana Ermolova and Vladimir Laptev and Alexey Mitrofanov and Vladimir Ivanov},
title={The Eye-tracking Study of the Line Charts in Dashboards Design},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: IVAPP, (VISIGRAPP 2016)},
year={2016},
pages={203-211},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005692102030211},
isbn={978-989-758-175-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: IVAPP, (VISIGRAPP 2016)
TI - The Eye-tracking Study of the Line Charts in Dashboards Design
SN - 978-989-758-175-5
AU - Orlov P.
AU - Ermolova T.
AU - Laptev V.
AU - Mitrofanov A.
AU - Ivanov V.
PY - 2016
SP - 203
EP - 211
DO - 10.5220/0005692102030211