Skip to main content
Springer Nature Link
Log in

UX Data Visualization: Supporting Software Professionals in Exploring Users’ Interaction Data

  • Conference paper
  • First Online:
Engineering Interactive Computer Systems. EICS 2023 International Workshops and Doctoral Consortium (EICS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14517))

Included in the following conference series:

  • 135 Accesses

Abstract

The definition and understanding of UX data and its possibilities for analysis and production of insights play a key role in software teams’ adoption of UX practices. Information Visualization (InfoVis) offers approaches to assist the design of visualizations that users could better explore. Besides, it provides principles to support the analysis of information that emerged from data. This paper introduces a doctoral research project that uses Design Science Research (DSR) as a general methodology to guide successive research cycles involving investigations in the grey literature and exploratory studies to build a framework. This doctoral research aims to develop a framework for assisting software teams in creating, configuring, and using visual representations to organize, extract, and communicate information embedded within UX data.

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

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    https://www.seoquake.com/.

  2. 2.

    spreadsheet with approved grey articles.

References

  1. Adams, R.J., Smart, P., Huff, A.S.: Shades of grey: guidelines for working with the grey literature in systematic reviews for management and organizational studies. Int. J. Manag. Rev. 19(4), 432–454 (2017). https://doi.org/10.1111/ijmr.12102

    Article  Google Scholar 

  2. Albert, W., Tullis, T.: Measuring the User Experience: Collecting, Analyzing, and Presenting Usability Metrics. Elsevier Science, Interactive Technologies (2013)

    Google Scholar 

  3. Bakiu, E., Guzman, E.: Which feature is unusable? Detecting usability and user experience issues from user reviews. In: 2017 IEEE 25th International Requirements Engineering Conference Workshops (REW), pp. 182–187 (2017). https://doi.org/10.1109/REW.2017.76

  4. Bernhaupt, R., Martinie, C., Palanque, P., Wallner, G.: A generic visualization approach supporting task-based evaluation of usability and user experience. In: Bernhaupt, R., Ardito, C., Sauer, S. (eds.) HCSE 2020. LNCS, vol. 12481, pp. 24–44. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-64266-2_2

    Chapter  Google Scholar 

  5. Buono, P., Caivano, D., Costabile, M.F., Desolda, G., Lanzilotti, R.: Towards the detection of UX smells: the support of visualizations. IEEE Access 8, 6901–6914 (2020). https://doi.org/10.1109/ACCESS.2019.2961768

    Article  Google Scholar 

  6. Card, S., Jacko, J.A.: Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies, and Emerging Applications, 3rd edn. CRC Press Inc, Boca Raton (2012)

    Google Scholar 

  7. Card, S., Mackinlay, J., Shneiderman, B.: Readings in Information Visualization: Using Vision to Think. Academic Press (1999)

    Google Scholar 

  8. Desai, R.: 4 ways to implement data for a better user experience design (2019). https://www.freecodecamp.org/news/4-ways-to-implement-data-for-a-better-user-experience-design/

  9. Dittrich, S., Hof, F., Wiethoff, A.: InteracDiff: visualizing and interacting with UX-data. In: Proceedings of Mensch Und Computer 2019, pp. 583–587. MuC 1919, Association for Computing Machinery, New York, NY, USA (2019). https://doi.org/10.1145/3340764.3344463

  10. Fabijan, A., Olsson, H.H., Bosch, J.: The lack of sharing of customer data in large software organizations: challenges and implications. In: Sharp, H., Hall, T. (eds.) XP 2016. LNBIP, vol. 251, pp. 39–52. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-33515-5_4

    Chapter  Google Scholar 

  11. van Gaasbeek, J.R., Martin, J.N.: Getting to requirements: the w5h challenge. In: INCOSE International Symposium, vol. 11, no. 1, pp. 1083–1088 (2001). https://doi.org/10.1002/j.2334-5837.2001.tb02413.x

  12. Garousi, V., Felderer, M., Mäntylä, M.V.: Guidelines for including grey literature and conducting multivocal literature reviews in software engineering. Inf. Softw. Technol. 106, 101–121 (2019)

    Article  Google Scholar 

  13. Hevner, A.: A three cycle view of design science research. Scand. J. Inf. Syst. 19, 4 (2007)

    Google Scholar 

  14. Hokkanen, L., Kuusinen, K., Väänänen, K.: Minimum viable user experience: a framework for supporting product design in startups. In: Sharp, H., Hall, T. (eds.) XP 2016. LNBIP, vol. 251, pp. 66–78. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-33515-5_6

    Chapter  Google Scholar 

  15. Hokkanen, L., Väänänen-Vainio-Mattila, K.: UX work in startups: current practices and future needs. In: Lassenius, C., Dingsøyr, T., Paasivaara, M. (eds.) XP 2015. LNBIP, vol. 212, pp. 81–92. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-18612-2_7

    Chapter  Google Scholar 

  16. Homoliak, I., Toffalini, F., Guarnizo, J., Elovici, Y., Ochoa, M.: Insight into insiders and it: a survey of insider threat taxonomies, analysis, modeling, and countermeasures. ACM Comput. Surv. 52(2), 1–40 (2019). https://doi.org/10.1145/3303771

    Article  Google Scholar 

  17. Hussain, J., et al.: A multimodal deep log-based user experience (UX) platform for UX evaluation. Sensors 18, 1622 (2018). https://doi.org/10.3390/s18051622

    Article  Google Scholar 

  18. Karapanos, E., Martens, J.B., Hassenzahl, M.: Reconstructing experiences with iscale. Int. J. Hum Comput Stud. 70, 849–865 (2012). https://doi.org/10.1016/j.ijhcs.2012.06.004

    Article  Google Scholar 

  19. Kashfi, P., Feldt, R., Nilsson, A.: Integrating UX principles and practices into software development organizations: a case study of influencing events. J. Syst. Softw. 154(C), 37–58 (2019). https://doi.org/10.1016/j.jss.2019.03.066

    Article  Google Scholar 

  20. Kieffer., S., Rukonic, L., de Meerendré., V.K., Vanderdonckt., J.: Specification of a UX process reference model towards the strategic planning of UX activities. In: Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: HUCAPP, pp. 74–85. INSTICC, SciTePress (2019)

    Google Scholar 

  21. Lachner, F., Naegelein, P., Kowalski, R., Spann, M., Butz, A.: Quantified UX: towards a common organizational understanding of user experience. In: Proceedings of the 9th Nordic Conference on Human-Computer Interaction. NordiCHI 2016, Association for Computing Machinery, New York, NY, USA (2016). https://doi.org/10.1145/2971485.2971501

  22. Melegati, J., Guerra, E., Wang, X.: Understanding hypotheses engineering in software startups through a gray literature review. Inf. Softw. Technol. 133, 106465 (2021). https://doi.org/10.1016/j.infsof.2020.106465

    Article  Google Scholar 

  23. Móro, R., Daráz, J., Bieliková, M.: Visualization of gaze tracking data for UX testing on the web. In: HT (Doctoral Consortium/Late-breaking Results/Workshops) (2014)

    Google Scholar 

  24. Munzner, T.: Visualization Analysis and Design. In: Peters, A.K. (eds.) Visualization Series (2014)

    Google Scholar 

  25. Norman, D., Nielsen, J.: Nielsen norman group - the definition of user experience (UX). https://www.nngroup.com/articles/definition-user-experience/ (2018)

  26. Ohashi, K., et al.: Focusing requirements elicitation by using a UX measurement method. In: 2018 IEEE 26th International Requirements Engineering Conference (RE), pp. 347–357 (2018)

    Google Scholar 

  27. Petersen, K., Feldt, R., Mujtaba, S., Mattsson, M.: Systematic mapping studies in software engineering. In: Proceedings of the 12th International Conference on Evaluation and Assessment in Software Engineering, pp. 68–77. EASE 2008, BCS Learning & Development Ltd., Swindon, UK (2008)

    Google Scholar 

  28. Rivero, L., Conte, T.: A systematic mapping study on research contributions on UX evaluation technologies. In: Proceedings of the XVI Brazilian Symposium on Human Factors in Computing Systems. IHC 2017, Association for Computing Machinery, New York, NY, USA (2017)

    Google Scholar 

  29. Rodden, K.: Applying a sunburst visualization to summarize user navigation sequences. IEEE Comput. Graphics Appl. 34(5), 36–40 (2014)

    Article  Google Scholar 

  30. Shehabuddeen, N., Probert, D., Phaal, R., Platts, K.: Management representations and approaches: exploring issues surrounding frameworks. In: Bam, pp. 1–29 (2000)

    Google Scholar 

  31. da Silva Franco, R.Y., Santos do Amor Divino Lima, R., Monte Paixão, R.D., Resque dos Santos, C.G., Serique Meiguins, B.: Uxmood–a sentiment analysis and information visualization tool to support the evaluation of usability and user experience. Information 10(12), 366 (2019)

    Google Scholar 

  32. Sultan, M., Miranskyy, A.: Ordering stakeholder viewpoint concerns for holistic enterprise architecture: the w6h framework. In: Proceedings of the 33rd Annual ACM Symposium on Applied Computing, pp. 78–85. SAC 2018, Association for Computing Machinery, New York, NY, USA (2018). https://doi.org/10.1145/3167132.3167137

  33. Unterkalmsteiner, M., et al.: Software startups - a research agenda. E-Informatica Softw. Eng. J. 2016, 89–124 (2016). https://doi.org/10.5277/e-Inf160105

  34. Venable, J.: A framework for design science research activities. In: Proceedings of the 2006 Information Resource Management Association Conference, pp. 184–187 (2006)

    Google Scholar 

  35. Yang, L., Hu, Z., Long, J., Guo, T.: 5w1h-based conceptual modeling framework for domain ontology and its application on STPO. In: 2011 Seventh International Conference on Semantics, Knowledge and Grids, pp. 203–206 (2011). https://doi.org/10.1109/SKG.2011.31

  36. Yang, S.Y., Chou, W.H., Chen, H.X.: Development of the automated tool to perform analysis and visualisation of user reviews. Int. J. Arts Technol. 12(3), 218–237 (2020). https://doi.org/10.1504/IJART.2020.109814

    Article  Google Scholar 

  37. Zaina, L.A., Fortes, R.P., Casadei, V., Nozaki, L.S., Paiva, D.M.B.: Preventing accessibility barriers: guidelines for using user interface design patterns in mobile applications. J. Syst. Softw. 186, 111213 (2022). https://doi.org/10.1016/j.jss.2021.111213

    Article  Google Scholar 

Download references

Acknowledgment

We thank Conselho Nacional de Desenvolvimento Científico e Tecnológico - Brazil (CNPq grant 309497/2022-1) for the partial financial support; and the Gary Marsden Travel Awards; and the participants of Doctoral Consortium of EICS 2023.

Author information

Authors and Affiliations

  1. Federal University of São Carlos, Sorocaba, São Paulo, Brazil

    Maylon Macedo & Luciana Zaina

Authors
  1. Maylon Macedo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Luciana Zaina
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Maylon Macedo .

Editor information

Editors and Affiliations

  1. Newcastle University, Newcastle upon Tyne, UK

    Michael Harrison

  2. Paul Sabatier University, Toulouse, France

    Célia Martinie

  3. Swansea University, Swansea, UK

    Nicholas Micallef

  4. Paul Sabatier University, Toulouse, France

    Philippe Palanque

  5. Ludwig-Maximilians-Universität München, München, Germany

    Albrecht Schmidt

  6. Université Côte d'Azur, Sophia Antipolis Cedex, France

    Marco Winckler

  7. University of Paderborn, Paderborn, Germany

    Enes Yigitbas

  8. Federal University of São Carlos, Sorocaba, Brazil

    Luciana Zaina

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Macedo, M., Zaina, L. (2024). UX Data Visualization: Supporting Software Professionals in Exploring Users’ Interaction Data. In: Harrison, M., et al. Engineering Interactive Computer Systems. EICS 2023 International Workshops and Doctoral Consortium. EICS 2023. Lecture Notes in Computer Science, vol 14517. Springer, Cham. https://doi.org/10.1007/978-3-031-59235-5_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-59235-5_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-59234-8

  • Online ISBN: 978-3-031-59235-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics