Report Optimization using Visual Search Strategies - An Experimental Study with Eye Tracking Technology

Lisa Falschlunger, Christoph Eisl, Heimo Losbichler, Elisabeth Grabmann

2015

Abstract

The success of visualisations is determined by the ability of users to retrieve relevant information in an effective and efficient way. The way in which information is perceived can be analysed by examining visual search strategies of users. Visual search strategies in graphical representations however, are individual and have not been well explored up to now. Recent studies show that eye tracking experiments help in gaining new insights into these strategies. Apart from error rates and task completion times, eye tracking focuses on the way observers of visualisations read and make sense of the presented stimulus. In this way sequential strategies can be analysed, compared and used in order to optimize graphical layouts. In this study we use the approach of Parallel Scan Path visualisation in combination with Levenshtein Distance to determine similarities between search strings when viewing graphical representations in standardized business communication. This study shows a positive correlation between search strategies and task completion time and allows the evaluation of different design layouts. Positive significant effects can be detected when examining experience (with respect to standardized and repetitive reporting) and layout optimization (with respect to graphical representations and page layout). Optimal search strategies can be identified when users are experienced and using an optimized layout.

References

  1. Anderson, E. W., Potter, K. C., Matzen, L. E., Shepherd, J. F. Preston, J. F., Silvia, C.T, 2011. A user study of visualization effectiveness using EEG and cognitive load. In Proceedings of IEEE EuroVis2011. Vol. 30. No. 3. pp. 791-800.
  2. Barat, A. H., 2007. Human perception and knowledge organization: visual imagery. In Library Hi Tech. Vol. 25. No. 3. pp. 338-351.
  3. Beattie, V., Dhanani, A., Jones, M. J., 2008. Investigating presentational change in U.K. annual reports: a longitudinal perspective. In Journal of Business Communication. Vol. 45. Nr. 2. pp. 181-222.
  4. Blignaut, P., 2010. Visual span and other parameters for the generation of heatmaps. In Proceedings of the ETRA2010. Austin. March 22-24. pp. 125-128.
  5. Conati, C., Maclaren, H., 2008. Exploring the role of individual differences in information visualization. In Proceedings of AVI2008. pp. 199-206.
  6. Elmqvist, N., Soo Yi, J., 2013. Patterns for visualization evaluation. In Information Visualization. Special Issue Article. Vol. 0. No. 0. pp. 1-20.
  7. Falschlunger, L., Eisl. C., Losbichler, H., Greil, A., 2014. Improving information perception of graphical displays: an experimental study on the display of column graphs. In Proceedings of the WSCG2014. Pilsen. 2-4 June. pp. 19-26.
  8. Goldberg, J. H., Helfman, J. I., 2010. Scanpath clustering and aggregation. In Proceedings of the ETRA2010. Austin. March 22-24. pp. 227-234.
  9. Goldberg, J. H., Helfman, J. I., 2011. Eye tracking for visualization evaluation: reading values on linear versus radial graphs. In Information Visualization. Vol. 10. No. 3. pp. 182-195.
  10. Goldberg, J. H., Helfman, J. I., 2014. Eye tracking on visualization: progressive extraction of scanning strategies. In Handbook of Human Centric Visualization. pp. 337-372.
  11. Hill, W. Y., Milner, M. M., 2003. Guidelines for graphical displays in financial reporting. In Accounting Education. Vol. 12. No. 2. pp. 135-157.
  12. Holmqvist, K., Nyström, M., Mulvey, F., 2012. Eye tracker data quality: what it is and how to measure it. In Proceedings of the ETRA2012. Santa Barbara. Ca. March 28-30. pp. 45-52.
  13. Huang, W., Eades, P., 2005. How people read graphs. In Proceedings of the APVIS 2005. Sydney. Vol. 45. pp. 51-58.
  14. Keller, T., Gerjets, P., Scheiter, K., Garsoffky, B. 2006. Information visualizations for knowledge acquisition: the impact of dimensionality and color coding, In Instructional Design for Effective and Enjoyable Computer-Supported Learning. Vol. 22. No. 1. pp. 43-65.
  15. Levenshtein, V., 1966, Binary codes capable of correcting deletions, insertions, and reversals, In Soviet Physics Doklady, Vol. 10, pp. 707-710.
  16. Lurie, N. H., Mason, C. H., 2007. Visual representation: implications for decision making. In Journal of Marketing. Vol. 71. No. 1. pp. 160-177.
  17. Mostyn, G. R., 2012. Cognitive load theory: what it is, why it's important for accounting instruction and research. In Issues in Accounting Education. Vol. 27. No. 1. pp. 227-245.
  18. Parsons, L. M., Tinkelman, D., 2013. Testing the feasibility of small multiples of sparklines to display semimonthly income statement data. In International Journal of Accounting Information Systems. Vol. 14. No. 1. pp. 58-76.
  19. Peck, E. M, Yuksel, B., Harrison, L, Ittkeym A., Chang, R., 2012. Position paper: towards a 3-dimensional model of individual cognitive differences. In Proceedings of the BELIV2012. Seattle. WA USA. Pp. 1-6.
  20. Pfitzner, D., Hobbs, V., Powers, D., 2001. A unified taxonomic framework for information visualization. In Proceedings of the AICE2000. Canberra. pp. 1-10.
  21. Raschke, M., Chen, X., Ertl, T., 2012. Parallel scan-path visualization. In Proceedings of the ETRA2012, Santa Barbara, CA, March 28-30, pp. 165-168.
  22. Raschke, M., Blascheck, T., Richter, M., Agipkin, T., Ertl, T., 2014a. Visual analysis of perceptual and cognitive processes. In Proceedings of the IVAPP2013. pp.1-8.
  23. Raschke, M., Herr, D., Blascheck, T., Ertl, T., 2014b. A visual approach for scan path comparison. In Proceedings of the ETRA2014. Safety Harbor. March 26-28. pp. 135-142.
  24. Renshaw, J. A., Finlay, J. E., Tyfa, D., Ward, R. D. 2003: Designing for visual influence: an eye tracking study of the usability of graphical management information. In Proceedings of the INTERACT2003. pp. 144-151.
  25. Sohn, Y., Doane, S., 2003. Roles of working memory capacity on long-term working memory skill in complex task performance. In Memory & Cognition. Vol. 31. No. 3. pp. 458-466.
  26. Speier, C., 2006. The influence of information presentation formats on complex task decision-making performance. In International Journal of HumanComputer Studies. Vol. 64. No. 11. pp. 1115-1131.
  27. Tank, H., Topczewski, J. J., Topczewski, A. M., Pienta, N. P., Permutation test for groups of scanpaths using normalized levenshtein distance and application in NMR questions. In Proceedings of the ETRA2012. Santa Barbara. Ca. March 28-30. pp. 169-172.
  28. Toker, D., Conati, C., Steichen, B., Carenini, G., 2013. Individual user characteristics and information visualization: connecting the dots through eye tracking. In Proceedings of Human Factors in Computing Systems (Proceedings of CHI'13), ACM, pp. 295-304.
  29. Vessey, I., 1991. Cognitive fit: a theory-based analysis of the graphs versus tables literature. In Decision Science, Vol. 22, No. 2, pp. 219-240.
  30. Ware, C., 2013. Information visualization - perception for design, Third Edition, ISBN-10: 0123814642.
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Paper Citation


in Harvard Style

Falschlunger L., Eisl C., Losbichler H. and Grabmann E. (2015). Report Optimization using Visual Search Strategies - An Experimental Study with Eye Tracking Technology . In Proceedings of the 6th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2015) ISBN 978-989-758-088-8, pages 209-218. DOI: 10.5220/0005251702090218


in Bibtex Style

@conference{ivapp15,
author={Lisa Falschlunger and Christoph Eisl and Heimo Losbichler and Elisabeth Grabmann},
title={Report Optimization using Visual Search Strategies - An Experimental Study with Eye Tracking Technology},
booktitle={Proceedings of the 6th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2015)},
year={2015},
pages={209-218},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005251702090218},
isbn={978-989-758-088-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2015)
TI - Report Optimization using Visual Search Strategies - An Experimental Study with Eye Tracking Technology
SN - 978-989-758-088-8
AU - Falschlunger L.
AU - Eisl C.
AU - Losbichler H.
AU - Grabmann E.
PY - 2015
SP - 209
EP - 218
DO - 10.5220/0005251702090218