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”.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
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)
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)
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)
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)
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)
Kitchenham, B., Brereton, P.: A systematic review of systematic review process research in software engineering. Inf. Softw. Technol. 55(12), 2049–2075 (2013)
ISO 9241-210:2010 Human-centred Design Process for Interactive Systems (2010). https://www.iso.org/standard/21197.html
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)
Chen, H., Kazman, R., Haziyev, S.: Agile big data analytics development: an architecture-centric approach. In: 49th Hawaii International Conference on System Sciences (2016)
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)
Qazi, N., Wong, W.: An interactive human centered data science approach towards crime pattern analysis. Inf. Process. Manag. 56, 102066 (2019)
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)
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)
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)
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)
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
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)
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)
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
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)
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)
Leman, S., House, L.: Improving Mr. Miyagi’s coaching style: teaching data analytics with interactive data visualizations. CHANCE 25(2), 4–12 (2012)
Filonik, D., Rittenbruch, M., Foth, M.: Participatory data analytics: collaborative interfaces for data composition and visualisation, vol. 2014, pp. 248–249, August 2014
Stephanidis, C., Salvendy, G., et al.: Seven HCI grand challenges. Int. J. Hum.-Comput. Interact. 35(14), 1229–1269 (2019)
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)
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)
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)
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)
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)
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)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-51828-8_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-51827-1
Online ISBN: 978-3-030-51828-8
eBook Packages: EngineeringEngineering (R0)