Skip to main content
SpringerLink
Log in

Understanding Big Picture and Its Challenges: Experts and Decision Makers Perspectives

  • Conference paper
Advances in Visual Informatics (IVIC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8237))

Included in the following conference series:

Abstract

The big picture of an organization plays an important role in providing insight into the decision making process. Thus, the objectives of this paper are to investigate how experts and decision makers obtain the features of the big picture, and then identify related challenges (problems and issues). Data analysis and interpretation show that experts and decision makers gain the big picture through a process of collaboration. Basically there are four main sequences in the collaboration process of constructing the big picture. These are: (i) understanding the big picture requirements, (ii) extracting content from the tools, (iii) collaborating on pieces of information and (iv) using the collaborative information for decision making. In addition, the challenges of attaining the big picture were identified and then clustered into the 3 main components from the perspective of knowledge visualization (KV) on user perception, namely cognition, perception and communication. Data was collected using semi structured interviews following qualitative methods. The sketching technique was used in the one-to-one interviews to represent mental models which are important for later use in the design stage.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bertschi, S.: Knowledge Visualization and Business Analysis: Meaning as Media. In: IEEE International Conference Information Visualization, vol. 13, pp. 480–485 (2009)

    Google Scholar 

  2. Bresciani, S., Eppler, M.J.: Choosing Knowledge Visualizations to Augment Cognition: The Managers’ View. In: IEEE International Conference Information Visualization, vol. 14, pp. 355–360 (2010)

    Google Scholar 

  3. Bischof, N., Comi, A., Eppler, M.J.: Knowledge Visualization in Qualitative Methods - Or How Can I See What I Say? In: IEEE International Conference Information Visualization, vol. 15, pp. 371–376 (2011)

    Google Scholar 

  4. Dillon, K.M., Talbot, P.J., Hillis, W.D.: Knowledge Visualization: Redesigning the Human-Computer Interface. Technology Review Journal 13(1), 37–55 (2005)

    Google Scholar 

  5. Mengis, J., Eppler, M.J.: Seeing versus Arguing. The Moderating Role of Collaborative Visualization in Team Knowledge Integration. Journal of Universal Knowledge Management 1(3), 151–162 (2006)

    Google Scholar 

  6. Eppler, M.J., Hoffmann, F., Bresciani, S.: New Business Models Through Collaborative Idea Generation. International Journal of Innovation Management 15(06), 1323–1341 (2011)

    Article  Google Scholar 

  7. Eppler, M.J., Mengis, J., Bresciani, S.: Seven Types of Visual Ambiguity: On the Merits and Risks of Multiple Interpretations of Collaborative Visualizations. In: IEEE International Conference of Information Visualization, vol. 12, pp. 391–396 (2008)

    Google Scholar 

  8. Bresciani, S., Blackwell, A.F., Eppler, M.: A Collaborative Dimensions Framework: Understanding the mediating role of conceptual visualizations in collaborative knowledge work. In: IEEE Hawaii International Conference on System Sciences, vol. 41, pp. 364–364 (2008)

    Google Scholar 

  9. Kolfschoten, G.L., Brazier, F.: Cognitive Load in Collaboration-Convergence. In: Hawaii International Conference on System Sciences, vol. 45, pp. 129–138 (2012)

    Google Scholar 

  10. Liu, Z., Stasko, J.T.: Mental models, visual reasoning and interaction in information visualization: a top-down perspective. IEEE Transactions On Visualization and Computer Graphics 16(6), 999–1008 (2010)

    Article  Google Scholar 

  11. Mengis, J., Eppler, M.J.: Understanding and Managing Conversations from a Knowledge Perspective: An Analysis of the Roles and Rules of Face-to-face Conversations in Organizations. Organization Studies 29(10), 1287–1313 (2007)

    Article  Google Scholar 

  12. Miller, G.A.: The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychological Review 101(2), 343–352 (1994)

    Article  Google Scholar 

  13. Burkhard, R.A.: Towards a framework and a model for knowledge visualization: Synergies between information and knowledge visualization. In: Tergan, S.-O., Keller, T. (eds.) Knowledge and Information Visualization. LNCS, vol. 3426, pp. 238–255. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  14. Sweller, J., Van Merrienboer, J.J.: Cognitive Load Theory and Complex Learning: Recent Developments and future directions. Educational Psychology Review 17(2), 147–177 (2005)

    Article  Google Scholar 

  15. Keller, T., Grimm, M.: The Impact of Dimensionality and Color Coding of Information Visualizations on Knowledge Acquisition. In: Tergan, S.-O., Keller, T. (eds.) Knowledge and Information Visualization. LNCS, vol. 3426, pp. 167–182. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  16. Ziemkiewicz, C., Kosara, R.: Implied Dynamics in Information Visualization. In: ACM Proceedings of the International Conference on Advanced Visual Interfaces, pp. 215–222 (2010)

    Google Scholar 

  17. Zhang, J., Zhong, D., Zhang, J.: Knowledge Visualization; an effective way to improve learning. In: IEEE Education Technology and Computer Science ETCS 2010 Second International Workshop, vol. 1, pp. 598–601 (2010)

    Google Scholar 

  18. Dillenbourg, P., Betrancourt, M.: Collaboration Load. In: Elen, E.J., Clark, R.E. (eds.) Dealing with Complexity in Learning Environments, pp. 142–163 (2006)

    Google Scholar 

  19. Akrani, G.: Decision Making Proces. In: Management - Problem Solving. Study Notes in Education and Management (2010)

    Google Scholar 

  20. Agrawala, M., Li, W., Berthouzoz, F.: Design Principles for Visual Communication. Communications of the ACM 54(4), 60–69 (2011)

    Article  Google Scholar 

  21. John, H., Sallam, R.L., Richardson, J.: Magic Quadrat for business intelligence platforms. In: Gartner for Business Leaders (February 2012)

    Google Scholar 

  22. Card, S.K., Mackinlay, J.D., Schneiderman, B.: Information Visualization: Using Vision To Think. Morgan Kaufmann, San Francisco (1999)

    Google Scholar 

  23. Schwartz, D.G.: Encyclopedia of Knowledge Management. IGI Global (2005)

    Google Scholar 

  24. 10 years of Knowledge-Communication.Org; Results, Insights and Perspectives, http://issuu.com/mcminstitute/docs

  25. Resources of Information Visualization, http://www.infovis.org/

  26. Beyond the Podium: Delivering Training and Performance to a Digital World, http://www.jbp.com

  27. Business dictionary, http://www.businessdictionary.com/

Download references

Author information

Authors and Affiliations

  1. Public Service Department of Malaysia, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

    Suraya Ya’acob

  2. Institut of Visual Informatics, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

    Nazlena Mohamad Ali & Norshita Mat Nayan

Authors
  1. Suraya Ya’acob
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nazlena Mohamad Ali
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Norshita Mat Nayan
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Institute of Visual Informatics, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

    Halimah Badioze Zaman

  2. Computer Laboratory, University of Cambridge, CB3 0FD, Cambridge, UK

    Peter Robinson

  3. School of Computing Science, Newcastle University, Culture Lab, King’s Walk, NE1 7RU, Newcastle Upon Tyne, UK

    Patrick Olivier

  4. Dept. of Computer Science and Information Engineering, National Central University, No 300, Jhongda Rd, Jhongli, Taiwan

    Timothy K. Shih

  5. Computing and Information Systems, Kingston University, Penrhyn Road, Kingston upon Thames, KT1 2EE, London, United Kingdom

    Sergio Velastin

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer International Publishing Switzerland

About this paper

Cite this paper

Ya’acob, S., Mohamad Ali, N., Mat Nayan, N. (2013). Understanding Big Picture and Its Challenges: Experts and Decision Makers Perspectives. In: Zaman, H.B., Robinson, P., Olivier, P., Shih, T.K., Velastin, S. (eds) Advances in Visual Informatics. IVIC 2013. Lecture Notes in Computer Science, vol 8237. Springer, Cham. https://doi.org/10.1007/978-3-319-02958-0_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-02958-0_29

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02957-3

  • Online ISBN: 978-3-319-02958-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation