Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

Vector and Triangular Representations of Project Estimation Uncertainty: Effect of Gender on Usability

  • Conference paper
  • First Online:
Computational Science – ICCS 2021 (ICCS 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12747))

Included in the following conference series:

  • 1474 Accesses

Abstract

The paper proposes a new visualisation in the form of vectors of not-fully-known quantitative features. The proposal is put in the context of project defining and planning and the importance of visualisation for decision making. The new approach is empirically compared with the already known visualisation utilizing membership functions of triangular fuzzy numbers. The designed and conducted experiment was aimed at evaluating the usability of the new approach according to ISO 9241–11. Overall 76 subjects performed 72 experimental conditions designed to assess the effectiveness of uncertainty conveyance. Efficiency and satisfaction were examined by participants subjective assessment of appropriate statements. The experiment results show that the proposed visualisation may constitute a significant alternative to the known, triangle-based visualisation. The paper emphasizes potential advantages for the proposed representation for project management and in other areas.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Similar content being viewed by others

References

  1. Project Management Institute. Project Management Body of Knowledge (PMBOK® Guide). A Guid to Proj Manag Body Knowl (PMBOK® Guid - Fourth Ed (2008). https://doi.org/10.1007/s13398-014-0173-7.2

  2. Kerzner, H.: A systems approach to planning scheduling and controlling. New York (2017). https://doi.org/10.1016/j.drudis.2010.11.015

  3. Yen, J., Lee, J.: Fuzzy logic as a basis for specifying imprecise requirements (1993). https://doi.org/10.1109/FUZZY.1993.327535

  4. Grote, G.: Promoting safety by increasing uncertainty—implications for risk management. Saf. Sci. 71, 71–79 (2015)

    Article  Google Scholar 

  5. Cleden, D.: Managing project uncertainty. Manag. Proj. Uncertain (2017). https://doi.org/10.4324/9781315249896

    Article  Google Scholar 

  6. Burnay, C., Dargam, F., Zarate, P.: Special issue: data visualization for decision-making: an important issue. Oper. Res. Int. J. 19(4), 853–855 (2019). https://doi.org/10.1007/s12351-019-00530-z

    Article  Google Scholar 

  7. Hawer, S., Schönmann, A., Reinhart, G.: Guideline for the classification and modelling of uncertainty and fuzziness. Procedia CIRP 67, 52–57 (2018)

    Article  Google Scholar 

  8. Zimmermann, H.J.: Fuzzy set theory. Wiley Interdiscip. Rev. Comput. Stat. (2010). https://doi.org/10.1002/wics.82

  9. Masmoudi, M., Haït, A.: Project scheduling under uncertainty using fuzzy modelling and solving techniques. Eng. Appl. Artif. Intell. 26, 135–149 (2013)

    Article  Google Scholar 

  10. Bevan, N., Carter, J., Harker, S.: Iso 9241-11 revised: what have we learnt about usability since 1998? In: Kurosu, M. (ed.) Human-Computer Interaction: Design and Evaluation. LNCS, vol. 9169, pp. 143–151. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-20901-2_13

    Chapter  Google Scholar 

  11. Tractinsky, N., Katz, A., Ikar, D.: What is beautiful is usable. Interact. Comput. 13, 127–145 (2000)

    Article  Google Scholar 

  12. Hassenzahl, M.: The interplay of beauty, goodness, and usability in interactive products. Hum.-Comput. Interact. 19, 319–349 (2004)

    Article  Google Scholar 

  13. Lavie, T., Tractinsky, N.: Assessing dimensions of perceived visual aesthetics of web sites. Int. J. Hum. Comput. Stud. 60, 269–298 (2004)

    Article  Google Scholar 

  14. Carvalho, M.: Risk and uncertainty in projects management: literature review and conceptual framework RECEBIDO. GEPROS Gestão da Produção, Operações e Sist 12, 93–120 (2017)

    Article  Google Scholar 

  15. Dikmen, I., Hartmann, T.: Seeing the risk picture: visualization of project risk information. EG-ICE 2020 Work. In: Intell. Comput. Eng. Proc. (2020)

    Google Scholar 

  16. Jaber, K., Sharif, B., Liu, C.: An empirical study on the effect of 3D visualization for project tasks and resources. J. Syst. Softw. 115, 1–17 (2016)

    Article  Google Scholar 

  17. Lima, R., Tereso, A., Faria, J.: Project management under uncertainty: resource flexibility visualization in the schedule. Procedia Compu. Sci. 164, 381–388 (2019)

    Article  Google Scholar 

  18. Killen, C.P.: Visualizations of project interdependencies for portfolio decision making: evaluation through decision experiments. In: Decision Science Institute Annual Conference (2013)

    Google Scholar 

  19. Kolychev, V.D., Rumyantsev, V.P.: Visual models’ system of project management. Sci. Vis. 6(3), 14–54 (2014)

    Google Scholar 

  20. da Silva, C.G., et al.: An improved visualization-based approach for project portfolio selection. Comput. Hum. Behav. 73, 685–696 (2017)

    Article  Google Scholar 

  21. van der Hoorn, B.: The project-space model: visualising the enablers and constraints for a given project. Int. J. Proj. Manag. 34, 173–186 (2016)

    Article  Google Scholar 

  22. Drakopoulos, J.A.: Probabilities, possibilities, and fuzzy sets. Fuzzy Sets Syst. 75, 1–15 (1995)

    Article  MathSciNet  Google Scholar 

  23. Vanston, J.E., Strother, L.: Sex differences in the human visual system. J. Neurosci. Res. 95, 617–625 (2017)

    Article  Google Scholar 

  24. Shaqiri, A., et al.: Sex-related differences in vision are heterogeneous. Sci. Rep. 8, 1–10 (2018)

    Article  Google Scholar 

  25. Ives, J.C., Kroll, W.P., Bultman, L.L.: Rapid movement kinematic and electromyographic control characteristics in males and females. Res. Q. Exerc. Sport 64, 274–283 (1993)

    Article  Google Scholar 

  26. Rohr, L.E.: Gender-specific movement strategies using a computer-pointing task. J. Mot. Behav. 38, 431–437 (2006)

    Article  Google Scholar 

  27. Michalski, R.: The effects of panel location, target size, and gender on efficiency in simple direct manipulation tasks. Hum. Comput. Interact. (2008). https://doi.org/10.5772/6311

    Article  Google Scholar 

  28. Wysocki, R.K., Kaikini, S., Sneed, R.: Effective project management : traditional, agile, extreme (2014)

    Google Scholar 

  29. Rola, P.M., Kuchta, D.: Application of fuzzy sets to the expert estimation of Scrum-based projects. Symmetry-Basel 11, 1–22 (2019)

    Google Scholar 

Download references

Acknowledgement

The work of Jerzy Grobelny and Rafał Michalski was partially financially supported by the Polish National Science Centre grant no. 2019/35/B/HS4/02892: Intelligent approaches for facility layout problems in management, production, and logistics. The work of Dorota Kuchta and Jan Schneider was partially financially supported by the Polish National Science Centre grant no. 2017/27/B/HS4/01881: Selected methods supporting project management, taking into consideration various stakeholder groups and using type-2 fuzzy numbers.

Author information

Authors and Affiliations

  1. Faculty of Computer Science and Management, Wroclaw University of Science and Technology, 27 Wybrzeże Wyspiańskiego st, 50-370, Wrocław, Poland

    Dorota Kuchta, Jerzy Grobelny, Rafał Michalski & Jan Schneider

Authors
  1. Dorota Kuchta
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jerzy Grobelny
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Rafał Michalski
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jan Schneider
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rafał Michalski .

Editor information

Editors and Affiliations

  1. AGH University of Science and Technology, Krakow, Poland

    Maciej Paszynski

  2. Ludwig-Maximilians-Universität München, Munich, Germany

    Dieter Kranzlmüller

  3. University of Amsterdam, Amsterdam, The Netherlands

    Valeria V. Krzhizhanovskaya

  4. University of Tennessee at Knoxville, Knoxville, TN, USA

    Jack J. Dongarra

  5. University of Amsterdam, Amsterdam, The Netherlands

    Peter M. A. Sloot

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kuchta, D., Grobelny, J., Michalski, R., Schneider, J. (2021). Vector and Triangular Representations of Project Estimation Uncertainty: Effect of Gender on Usability. In: Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2021. ICCS 2021. Lecture Notes in Computer Science(), vol 12747. Springer, Cham. https://doi.org/10.1007/978-3-030-77980-1_36

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-77980-1_36

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77979-5

  • Online ISBN: 978-3-030-77980-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation