Advertisement

Extending an Association Map to Handle Large Data Sets

  • Tamara BabaianEmail author
  • Wendy Lucas
  • Alina Chircu
  • Noreen Power
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10273)

Abstract

This paper presents the Association Map-Large (AM-L), an interactive visualization of entity associations. AM-L is an extension of a previously reported AM interface that has been enhanced with search and interaction features for supporting larger data sets. We report on a user study with thirty two participants, which assesses user performance and experience with AM-L versus a tabular representation of the same data in the context of an enterprise system. Participants with varying levels of experience were given both simple and complicated tasks to complete with each system. Results indicate greater enjoyment and lower levels of mental effort when using AM-L, as well as less time spent on average when performing tasks. Accuracy results in terms of correctness indicate a learning curve, with overall performance worse with AM-L on the first two simple questions and first complex question, but then as well or better on subsequent questions. Given that the AM-L interface is unlike any with which the users had prior experience, it is not surprising that some exposure to the interface, such as training, would be helpful prior to use. Suggestions from the participants will inform future enhancements to the interface, which will be validated with further studies.

Keywords

Interactive visualization ERP Usability User experience 

Notes

Acknowledgements

We are thankful to Yuge Xiao, who helped develop the AM-L prototype.

References

  1. 1.
    Lambeck, C., Fohrholz, C., Leyh, C., Müller, R.: (Re-) evaluating user interface aspects in ERP systems - an empirical user study. In: Proceedings of the 47th Hawaiian International Conference on System Sciences (2014)Google Scholar
  2. 2.
    Babaian, T., Lucas, W., Li, M.: Modernizing exploration and navigation in enterprise systems with interactive visualizations. In: Yamamoto, S. (ed.) HIMI 2015. LNCS, vol. 9172, pp. 23–33. Springer, Cham (2015). doi: 10.1007/978-3-319-20612-7_3 CrossRefGoogle Scholar
  3. 3.
    Babaian, T., Lucas, W., Chircu, A., Power, N.: Interactive Visualizations for Workspace Tasks. LNBIP. Springer (2017, forthcoming)Google Scholar
  4. 4.
    Topi, H., Babaian, T., Lucas, W.: Informal notes on technology use as a mechanism for knowledge representation and transfer. In: Proceedings of The Sixth European Conference on Organizational Knowledge, Learning, and Capabilities (OKLC-2005) (2005)Google Scholar
  5. 5.
    Iansiti, M.: ERP End-User Productivity: A Field Study of SAP and Microsoft. Key-stone Strategy, LLC (2007)Google Scholar
  6. 6.
    Chang, R., et al.: Scalable and interactive visual analysis of financial wire transactions for fraud detection. Inf. Vis. 7(1), 63–76 (2008)CrossRefGoogle Scholar
  7. 7.
    Liu, Z., Stasko, J., Sullivan, T.: SellTrend: inter-attribute visual analysis of temporal transaction data. IEEE Trans. Vis. Comput. Graph. 15(6), 1025–1032 (2009)CrossRefGoogle Scholar
  8. 8.
    Sedlmair, M., Isenberg, P., Baur, D., Butz, A.: Information visualization evaluation in large companies: challenges, experiences and recommendations. Inf. Vis. 10(3), 248–266 (2011)CrossRefGoogle Scholar
  9. 9.
    Dilla, W.N., Raschke, R.L.: Data visualization for fraud detection: practice implications and a call for future research. Int. J. Account. Inf. Syst. 16, 1–22 (2015)CrossRefGoogle Scholar
  10. 10.
    Saket, B., Endert, A., Stasko, J.: Beyond usability and performance: a review of user experience-focused evaluations in visualization, pp. 133–142 (2016)Google Scholar
  11. 11.
    Xu, J.D., Benbasat, I., Cenfetelli, R.T.: The nature and consequences of trade-off transparency in the context of recommendation agents. MIS Q. 38(2), 379–406 (2014)Google Scholar
  12. 12.
    Wang, Q., Yang, S., Liu, M., Cao, Z., Ma, Q.: An eye-tracking study of website complexity from cognitive load perspective. Decis. Support Syst. 62, 1–10 (2014)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Tamara Babaian
    • 1
    Email author
  • Wendy Lucas
    • 1
  • Alina Chircu
    • 1
  • Noreen Power
    • 1
  1. 1.Bentley UniversityWalthamUSA

Personalised recommendations