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A Methodology for Data Analytics Based on Organizational Characterization Through a User-Centered Design: A Systematic Literature Review

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Advances in Usability, User Experience, Wearable and Assistive Technology (AHFE 2020)

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Abstract

Data Analytics (DA) is the process of seeking knowledge in the data, to make a better supported business decision through the application of a methodology. However, in our paper conducted a systematic literature review (SLR) in five scientific databases by using Kitchenham’s methodology as a methodological guide in order to identify all user-centered design (UCD) key criteria possible to be contemplated in new DA methodology proposal. The UCD criteria will be used as a guideline to build a participatory, adaptable, efficient, collaborative and easy to apply DA methodology. The UCD criteria will be used as a guideline to build a participatory, adaptable, efficient, collaborative and easy-to-apply DA methodology. These criteria will be validated in our research by comparing them with those defined in ISO 9241-210:2010 standard “Human-centered design process for interactive systems”.

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References

  1. Bonhomme, M., Sandor, M., Chika, Y.: Data analytics for improving public service delivery. In: Meen, Prior, Lam (eds.) Proceedings of IEEE International Conference on Applied System Innovation 2018 IEEE ICASI 2018 (2018)

    Google Scholar 

  2. Khan, S., Bangash, S., Khan, K.: Learning analytics in the era of big data: a systematic literature review protocol. In: 2017 International Symposium on Wireless Systems and Networks (ISWSN). IEEE (2017)

    Google Scholar 

  3. Lemieux, V.: Visual analytics, cognition and archival arrangement and description: studying archivists’ cognitive tasks to leverage visual thinking for a sustainable archival future. Arch. Sci. 15, 25–49 (2015)

    Article  Google Scholar 

  4. Parsons, P., Sedig, K., Didandeh, A., Khosravi, A.: Interactivity in visual analytics: use of conceptual frameworks to support human-centered design of a decision-support tool. In: 48th Hawaii International Conference on System Sciences (2015)

    Google Scholar 

  5. Prema, A.: A study to renovate image data using data analytics methodologies. In: Kumar, R., Wiil, U. (eds.) Recent Advances in Computational Intelligence, pp. 163–171. Springer, Cham (2019)

    Chapter  Google Scholar 

  6. Kitchenham, B., Brereton, P.: A systematic review of systematic review process research in software engineering. Inf. Softw. Technol. 55(12), 2049–2075 (2013)

    Article  Google Scholar 

  7. ISO 9241-210:2010 Human-centred Design Process for Interactive Systems (2010). https://www.iso.org/standard/21197.html

  8. Fischer, H., Engler, M., Sauer, S.: A human-centered perspective on software quality: acceptance criteria for work 4.0. In: User Experience, and Usability: Theory, Methodology, and Management, DUXU 2017, vol. 10288. Springer (2017)

    Google Scholar 

  9. Chen, H., Kazman, R., Haziyev, S.: Agile big data analytics development: an architecture-centric approach. In: 49th Hawaii International Conference on System Sciences (2016)

    Google Scholar 

  10. Chen, H., Kazman, R., Haziyev, S.: Agile big data analytics for web-based systems: an architecture-centric approach. IEEE Trans. Big Data 2(3), 234–248 (2016)

    Article  Google Scholar 

  11. Qazi, N., Wong, W.: An interactive human centered data science approach towards crime pattern analysis. Inf. Process. Manag. 56, 102066 (2019)

    Article  Google Scholar 

  12. Wang, H., Singhal, A.: Audience-centered discourses in communication and social change: the ‘Voicebook’ of Main Kuch Bhi Kar Sakti Hoon, an entertainment-education initiative in India. J. Multicult. Discourses 13(2), 176–191 (2018)

    Article  Google Scholar 

  13. Diamond, S., Szigeti, S., Jofre, A.: Building tools for creative data exploration: a comparative overview of data-driven design and user-centered design. In: International Conference on Distributed, Ambient, and Pervasive Interactions, DAPI 2017, pp. 514–527 (2017)

    Google Scholar 

  14. Ziegler, J.: Challenges in user-centered engineering of AI-based interactive systems. In: 2nd Workshop on Charting the Way Towards Methods and Tools for Advanced Interactive Systems, EICS 2019 Workshop, Valencia, Spain, 17–18 June 2019 (2019)

    Google Scholar 

  15. Nguyen, H., Ward, B., Engelke, U., Thomas, B., Bednarz, T.: Collaborative data analytics using virtual reality. In: 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), Osaka, Japan, pp. 1098–1099 (2019)

    Google Scholar 

  16. Sreeram, S., Shanmugam, L.: EMBED-X: an integrated methodology for human - robotic systems development and interaction. In: 2018 IEEE International Conference on Systems, Man, and Cybernetics, September 2018

    Google Scholar 

  17. Almeida, A., Roque, L., da Cunha, P.: How to design an interactive system for data science: learning from a literature review. In: Andersson, B., Johansson, B., Barry, C., Lang, M., Linger, H., Schneider, C. (eds.) Advances in Information Systems Development. Lecture Notes in Information Systems and Organization, vol. 34. Springer, Cham (2019)

    Chapter  Google Scholar 

  18. Arena, D., Tsolakis, A., Zikos, S., Krinidis, S., Ziogou, C., Ioannidis, D., Voutetakis, S., Tzovaras, D., Kiritsis, D.: Human resource optimization through semantically enriched data. Int. J. Prod. Res. 56(8), 2855–2877 (2017)

    Article  Google Scholar 

  19. Duarte de Oliveira, M., Arica, E., Pinzone, M., Fantini, P., Taisch, M.: Human-centered manufacturing challenges affecting european industry 4.0 enabling technologies. In: HCI International 2019 – Late Breaking Papers, August 2019

    Google Scholar 

  20. Kaipainen, M., Pitkänen, O., Ab, P.: Human-controlled iterative subclustering analysis. In: 2017 IEEE International Conference on Big Data (Big Data), Boston, MA, pp. 4754–4756 (2017)

    Google Scholar 

  21. Renyi, M., Teuteberg, F., Kunze, C.: ICT-based support for the collaboration of formal and informal caregivers – a user-centered design study. In: Abramowicz, W., Paschke, A. (eds.) Business Information Systems, BIS 2018, vol. 320. Springer, Cham (2018)

    Google Scholar 

  22. Leman, S., House, L.: Improving Mr. Miyagi’s coaching style: teaching data analytics with interactive data visualizations. CHANCE 25(2), 4–12 (2012)

    Article  Google Scholar 

  23. Filonik, D., Rittenbruch, M., Foth, M.: Participatory data analytics: collaborative interfaces for data composition and visualisation, vol. 2014, pp. 248–249, August 2014

    Google Scholar 

  24. Stephanidis, C., Salvendy, G., et al.: Seven HCI grand challenges. Int. J. Hum.-Comput. Interact. 35(14), 1229–1269 (2019)

    Article  Google Scholar 

  25. Amer-Yahia, S.: Toward interactive user data analytics. In: Calì, A., Wood, P., Martin, N., Poulovassilis, A. (eds.) Data Analytics, BICOD 2017. Lecture Notes in Computer Science, vol. 10365. Springer, Cham (2017)

    Google Scholar 

  26. Diamantini, C., Genga, L., Potena, D., Storti, E.: Towards a customizable user-centered model for data analytics. In: 2015 International Conference on Collaboration Technologies and Systems (CTS), Atlanta, GA, pp. 249–256 (2015)

    Google Scholar 

  27. Fernandez-Prieto, D., Zeckzer, D., Hernandez, J.: UCIV 4 planning: a user-centered approach for the design of interactive visualizations to support urban and regional planning. In: IADIS CGVCVIP 2013, Prague, Czech Republic (2012)

    Google Scholar 

  28. Varsaluoma, J., et al.: Usage data analytics for human-machine interactions with flexible manufacturing systems: opportunities and challenges. In: 2017 21st International Conference Information Visualisation (IV), London, pp. 427–434 (2017)

    Google Scholar 

  29. Valtolina, S., Mesiti, M., Ferrari, L., Zettsu, K., Dao, M.: User-centered event data modelling and analytics. In: Proceedings of Third International Workshop on Cultures of Participation in the Digital Age - CoPDA 2015, Madrid (Spain), 26th May 2015 (2015)

    Google Scholar 

  30. Kim, J., Jeong, D., Lee, D., et al.: User-centered innovative technology analysis and prediction application in mobile environment. Multimed. Tools Appl. 74, 8761–8779 (2015)

    Article  Google Scholar 

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Correspondence to Boris Astudillo .

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Astudillo, B., Santórum, M., Aguilar, J. (2020). A Methodology for Data Analytics Based on Organizational Characterization Through a User-Centered Design: A Systematic Literature Review. In: Ahram, T., Falcão, C. (eds) Advances in Usability, User Experience, Wearable and Assistive Technology. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1217. Springer, Cham. https://doi.org/10.1007/978-3-030-51828-8_20

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  • DOI: https://doi.org/10.1007/978-3-030-51828-8_20

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