Abstract
The Digital Transformation is changing production and creates both new opportunities and requirements to support human operators in their work. To fully exploit the benefits, the integration of digital technology in the work processes needs to be balanced with the human factor by understanding users’ requirements and integrating these in the work processes. This article presents a broad series of prototypical Industrial User Interfaces as well as approaches and methods to investigate user interaction and workers’ requirements. The presented work is based on research activities from RWTH Aachen University’s Cluster of Excellence “Internet of Production” which combines multidisciplinary expertise to work on the future of digital production technology. Along different use cases we present the usage context, specific research question, and the methodological approaches as well as advantages and challenges for evaluating the interface. On the one hand, the article provides an overview of Industrial User Interfaces—from shop floor to strategic dimensions of production—and examples of the breadth of future Industrial User Interfaces (e.g., computer, VR, or Human-Robot-Interaction). On the other hand, it gives insights into current research challenges and their application in industry. We conclude with a research framework building on factors from the underlying production system, the interface, and the users that can inform future research on Industrial User Interfaces.
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References
Liao, Y., Deschamps, F., de Loures, E. F. R., & Ramos, L. F. P. (2017). Past, present and future of Industry 4.0: A systematic literature review and research agenda proposal. International Journal of Production Research, 55, 3609–3629. https://doi.org/10.1080/00207543.2017.1308576
Bruner, J. (2013). Industrial Internet - The machines are talking. Reilly Media.
Jeschke, S., Brecher, C., Meisen, T., Özdemir, D., & Eschert, T. (2017). Industrial Internet of things and cyber manufacturing systems. In Industrial Internet of things (pp. 3–19). Springer. https://doi.org/10.1007/978-3-319-42559-7_1
Sisinni, E., Saifullah, A., Han, S., Jennehag, U., & Gidlund, M. (2018). Industrial internet of things: Challenges, opportunities, and directions. IEEE Transactions on Industrial Informatics, 14, 4724–4734. https://doi.org/10.1109/TII.2018.2852491
Brauner, P., Dalibor, M., Jarke, M., Kunze, I., Koren, I., Lakemeyer, G., Liebenberg, M., Michael, J., Pennekamp, J., Quix, C., Rumpe, B., Van Aalst, W., Der Wehrle, K., Wortmann, A., & Ziefle, M. (2021). A computer science perspective on digital transformation in production. ACM Transactions on Internet of Things (TIOT), 3, 1–32.
Pennekamp, J., Glebke, R., Henze, M., Meisen, T., Quix, C., Hai, R., Gleim, L., Niemietz, P., Rudack, M., Knape, S., Epple, A., Trauth, D., Vroomen, U., Bergs, T., Brecher, C., Buhrig-Polaczek, A., Jarke, M., & Wehrle, K. (2019). Towards an infrastructure enabling the Internet of production. In 2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS) (pp. 31–37). IEEE. https://doi.org/10.1109/ICPHYS.2019.8780276
Tao, F., Zhang, H., Liu, A., & Nee, A. Y. C. (2019). Digital twin in industry: State-of-the-art. IEEE Transactions on Industrial Informatics, 15, 2405–2415. https://doi.org/10.1109/TII.2018.2873186
Kadir, B. A., Broberg, O., & da Conceição, C. S. (2019). Current research and future perspectives on human factors and ergonomics in industry 4.0. Computers & Industrial Engineering, 137, 106004. https://doi.org/10.1016/j.cie.2019.106004
Frazzon, E. M., Hartmann, J., Makuschewitz, T., & Scholz-Reiter, B. (2013). Towards socio-cyber-physical systems in production networks. Procedia CIRP, 7, 49–54. https://doi.org/10.1016/j.procir.2013.05.009
Hermann, M., Pentek, T., & Otto, B. (2016). Design principles for Industrie 4.0 scenarios. In 2016 49th Hawaii International Conference on System Sciences (HICSS) (pp. 3928–3937). IEEE. https://doi.org/10.1109/HICSS.2016.488
Kagermann, H. (2015). Change through digitization—Value creation in the age of Industry 4.0. In Management of permanent change (pp. 23–45). Springer.
Santoni de Sio, F., & Mecacci, G. (2021). Four responsibility gaps with artificial intelligence: Why they matter and how to address them. Philosophy & Technology. https://doi.org/10.1007/s13347-021-00450-x
Baethge-Kinsky, V. (2020). Digitized industrial work: Requirements, opportunities, and problems of competence development. Frontiers in Sociology, 5. https://doi.org/10.3389/fsoc.2020.00033
Hirsch-Kreinsen, H. (2016). Digitization of industrial work: Development paths and prospects. Journal for Labour Market Research., 49, 1–14. https://doi.org/10.1007/s12651-016-0200-6
Paelke, V., & Röcker, C. (2015). User interfaces for cyber-physical systems: Challenges and possible approaches. In International Conference on Design, User Experience, and Usability (DUXU) (pp. 75–85). Springer. https://doi.org/10.1007/978-3-319-20886-2_8
Mittelstädt, V., Brauner, P., Blum, M., & Ziefle, M. (2015). On the visual design of ERP systems – The role of information complexity, presentation and human factors. In 6th International Conference on Applied Human Factors and Ergonomics (AHFE 2015) and the Affiliated Conferences, AHFE 2015 (pp. 270–277). IEEE. https://doi.org/10.1016/j.promfg.2015.07.207
Wilkesmann, M., & Wilkesmann, U. (2018). Industry 4.0 – Organizing routines or innovations? VINE Journal of Information and Knowledge Management Systems, 48, 238–254. https://doi.org/10.1108/VJIKMS-04-2017-0019
Karabey, B. (2012). Big data and privacy issues. In International symposium on information management in a changing world (p. 3). Springer.
Ziefle, M., Halbey, J., & Kowalewski, S. (2016). Users’ willingness to share data on the Internet: Perceived benefits and caveats. In Proceedings of the International Conference on Internet of Things and Big Data (pp. 255–265). SCITEPRESS - Science and and Technology Publications. https://doi.org/10.5220/0005897402550265
Hoff, K. A., & Bashir, M. (2015). Trust in automation: Integrating empirical evidence on factors that influence trust. Human Factors, 57, 407–434. https://doi.org/10.1177/0018720814547570
Brauner, P., Philipsen, R., Calero Valdez, A., Ziefle, M., & Philipsen, R. (2019). What happens when decision support systems fail?—The importance of usability on performance in erroneous systems. Behaviour & Information Technology, 38, 1225–1242. https://doi.org/10.1080/0144929X.2019.1581258
Biermann, H., Brauner, P., & Ziefle, M. (2021). How context and design shape human-robot trust and attributions. Paladyn Journal of Behavioural Robotics., 12, 74–86. https://doi.org/10.1515/pjbr-2021-0008
Philipsen, R., Brauner, P., Valdez, A. C., & Ziefle, M. (2018). Evaluating strategies to restore trust in decision support systems in cross-company cooperation. In W. Karwowski, S. Trzcielinski, B. Mrugalska, M. Di Nicolantonio, & E. Rossi (Eds.), Advances in manufacturing, production management and process control. AHFE 2018. Advances in intelligent systems and computing (pp. 115–126). Springer. https://doi.org/10.1007/978-3-319-94196-7_11
Courage, C., & Baxter, K. (2005). Understanding your users: A practical guide to user requirements methods. Tools & Techniques. Morgan Kaufmann Publishers.
Shneiderman, B., & Plaisant, C. (2004). Designing the user interface: Strategies for effective human-computer interaction (4th ed.). Pearson Addison Wesley.
Dix, A., Finlay, J., Abowd, G. D., & Beale, R. (Eds.). (2003). Human computer interaction. Pearson.
DIN/EN/ISO 9241–11. (1998). Ergonomic requirements for office work with visual display terminals (VDTs): Guidance on usability specifications and measures.
DIN EN ISO 9241-110. (2006). Ergonomie der Mensch-System-Interaktion – Teil 110: Grundsätze der Dialoggestaltung (ISO 9241-110:2006). Deutsche Fassung EN ISO, 2006, 9241.
International Organization for Standardization: ISO 9241-210:2010. (2019). Ergonomics of human-system interaction - Part 210: Human-Centred Design for Interactive Systems. ISO.
Ardanza, A., Moreno, A., Segura, Á., de la Cruz, M., & Aguinaga, D. (2019). Sustainable and flexible industrial human machine interfaces to support adaptable applications in the Industry 4.0 paradigm. International Journal of Production Research., 57, 4045–4059. https://doi.org/10.1080/00207543.2019.1572932
Fox, W. M. (1995). Sociotechnical system principles and guidelines: Past and present. The Journal of Applied Behavioral Science., 31, 91–105. https://doi.org/10.1177/0021886395311009
Trist, E. L., & Bamforth, K. W. (1951). Some social and psychological consequences of the Longwall method of coal-getting. Human Relations, 4, 3–38. https://doi.org/10.1177/001872675100400101
Liebenberg, M., & Jarke, M. (2020). Information systems engineering with digital shadows: Concept and case studies. In International Conference on Advanced Information Systems Engineering (pp. 70–84). Springer. https://doi.org/10.1007/978-3-030-49435-3_5
Jarke, M., Schuh, G., Brecher, C., Brockmann, M., & Porte, J.-P. (2018). Digital shadows in the internet of production. ERCIM News, 115, 26–28.
Schuh, G., Prote, J.-P., Gützlaff, A., Thomas, K., Sauermann, F., & Rodemann, N. (2019). Internet of production: Rethinking production management. In Production at the leading edge of technology (pp. 533–542). Springer. https://doi.org/10.1007/978-3-662-60417-5_53
Brauner, P., Brillowski, F., Dammers, H., Königs, P., Kordtomeikel, F., Petruck, H., Schaar, A. K., Schmitz, S., Steuer-Dankert, L., Mertens, A., Gries, T., Leicht-Scholten, C., Nagel, S., Nitsch, V., Schuh, G., & Ziefle, M. (2020). A research framework for human aspects in the internet of production – An intra-company perspective. In Advances in intellifgent systems and computing (pp. 3–17). Springer. https://doi.org/10.1007/978-3-030-51981-0_1
Villani, V., Pini, F., Leali, F., & Secchi, C. (2018). Survey on human–robot collaboration in industrial settings: Safety, intuitive interfaces and applications. Mechatronics, 55, 248–266. https://doi.org/10.1016/j.mechatronics.2018.02.009
Brauner, P., Bremen, L., Ziefle, M., Altorf, L., Rast, M., & Rossmann, J. (2014). Impact of different feedback conditions on worker’s performance in carbon-fiber reinforced plastic manufacturing. In T. Ahram, W. Karwowski, & T. Marek (Eds.), Proceedings of the 15th International Conference on The Human Aspects of Advanced Manufacturing (HAAMAHA): Manufacturing enterprises in a digital world (pp. 5087–5097). CRC Press.
Chandrasekaran, B., & Conrad, J. M. (2015). Human-robot collaboration: A survey. Conference Proceedings - IEEE SOUTHEASTCON. https://doi.org/10.1109/SECON.2015.7132964
Heinz, M., Martin, P., Margrett, J. A., Yearns, M., Franke, W., Yang, H.-I., Wong, J., & Chang, C. K. (2013). Perceptions of technology among older adults. Journal of Gerontological Nursing., 39, 42–51. https://doi.org/10.3928/00989134-20121204-04
Onnasch, L., & Roesler, E. (2020). A taxonomy to structure and analyze human–robot interaction. International Journal of Social Robotics. https://doi.org/10.1007/s12369-020-00666-5
Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38, 475–487. https://doi.org/10.1006/imms.1993.1022
Awad, E., Dsouza, S., Kim, R., Schulz, J., Henrich, J., Shariff, A., Bonnefon, J.-F., & Rahwan, I. (2018). The moral machine experiment. Nature, 1. https://doi.org/10.1038/s41586-018-0637-6
Liehner, G. L., Brauner, P., Schaar, A. K., & Ziefle, M. (2021). Delegation of moral tasks to automated agents: The impact of risk and context on trusting a machine to perform a task. IEEE Transactions on Technology and Society., 1–14. https://doi.org/10.1109/TTS.2021.3118355
Brauner, P., Calero Valdez, A., Philipsen, R., & Ziefle, M. (2016). Defective still deflective – How correctness of decision support systems influences user’s performance in production environments. In F. F.-H. Nah & C.-H. Tan (Eds.), HCI in Business, Government, and Organizations (HCIGO), held as part of HCI international 2016 (pp. 16–27). Springer. https://doi.org/10.1007/978-3-319-39399-5_2
Goddard, K., Roudsari, A., & Wyatt, J. C. (2012). Automation bias: A systematic review of frequency, effect mediators, and mitigators. Journal of the American Medical Informatics Association, 19, 121–127. https://doi.org/10.1136/amiajnl-2011-000089
Forrester, J. W. (1961). Industrial dynamics. Wiley.
Lee, H. L., Padmanabhan, V., & Whang, S. (1997). Information distortion in a supply chain: The bullwhip effect. Management Science, 43, 546–558.
Brauner, P., Runge, S., Groten, M., Schuh, G., & Ziefle, M. (2013). Human factors in supply chain management – Decision making in complex logistic scenarios. In S. Yamamoto (Ed.), Proceedings of the 15th HCI International 2013, Part III, LNCS 8018 (pp. 423–432). Springer.
Brauner, P., Philipsen, R., Fels, A., Fuhrmann, M., Ngo, H., Stiller, S., Schmitt, R., & Ziefle, M. (2016). A game-based approach to meet the challenges of decision processes in ramp-up management. Quality Management Journal, 23, 55–69. https://doi.org/10.1080/10686967.2016.11918462
Philipsen, R., Brauner, P., Stiller, S., Ziefle, M., & Schmitt, R. (2014). The role of human factors in production networks and quality management. In First International Conference, HCIB 2014, held as part of HCI International 2014, Heraklion, Crete, Greece, June 22–27, 2014 (Proceedings, LNCS 8527) (pp. 80–91). Springer. https://doi.org/10.1007/978-3-319-07293-7_8
Teniwut, W. A., & Hasyim, C. L. (2020). Decision support system in supply chain: A systematic literature review. Uncertain Supply Chain Management, 8, 131–148. https://doi.org/10.5267/j.uscm.2019.7.009
Philipsen, R., Brauner, P., Stiller, S., Ziefle, M., & Schmitt, R. (2014). Understanding and supporting decision makers in quality management of production networks. In Advances in the ergonomics in manufacturing. Managing the enterprise of the future 2014: Proceedings of the 5th International Conference on Applied Human Factors and Ergonomics, AHFE 2014 (pp. 94–105). CRC Press.
Chandler, P., & Sweller, J. (1991). Cognitive load theory and the format of instruction. Cognition and Instruction, 8, 293–332. https://doi.org/10.1207/s1532690xci0804_2
Brauner, P., Valdez, A. C., Philipsen, R., & Ziefle, M. (2016). On studying human factors in complex cyber-physical systems. In Workshop human factors in information visualization and decision support systems part of the mensch und computer 2016. Gesellschaft für Informatik. https://doi.org/10.18420/muc2016-ws11-0002
Calero Valdez, A., Brauner, P., Schaar, A. K., Holzinger, A., & Ziefle, M. (2015). Reducing complexity with simplicity - Usability methods for Industry 4.0. In 19th Triennial Congress of the International Ergonomics Association (IEA 2015). IEA. https://doi.org/10.13140/RG.2.1.4253.6809
Bennett, N., & Lemoine, G. J. (2014). What a difference a word makes: Understanding threats to performance in a VUCA world. Business Horizons, 57, 311–317. https://doi.org/10.1016/j.bushor.2014.01.001
McAfee, A., & Brynjolfsson, E. (2012). Big data: The management revolution. Harvard Business Review., 90, 61–68. https://doi.org/10.1007/s12599-013-0249-5
Mertens, A., Putz, S., Brauner, P., Brillowski, F., Buczak, N., Dammers, H., Van Dyck, M., Kong, I., Konigs, P., Kordtomeikel, F., Rodemann, N., Schaar, A. K., Steuer-Dankert, L., Wlecke, S., Gries, T., Leicht-Scholten, C., Nagel, S. K., Piller, F. T., Schuh, G., et al. (2021). Human digital shadow: Data-based modeling of users and usage in the Internet of production. In 14th International Conference on Human System Interaction (HSI) (pp. 1–8). IEEE. https://doi.org/10.1109/HSI52170.2021.9538729
Miraz, M. H., Ali, M., & Excell, P. S. (2021). Adaptive user interfaces and universal usability through plasticity of user interface design. Computer Science Review., 40, 100363. https://doi.org/10.1016/j.cosrev.2021.100363
Lee, J. D., & See, K. A. (2004). Trust in automation: Designing for appropriate reliance. Human Factors, 46, 50–80. https://doi.org/10.1518/hfes.46.1.50.30392
Masalonis, A. J., & Parasuraman, R. (1999). Trust as a construct for evaluation of automated aids: Past and future theory and research. Proceedings of the Human Factors and Ergonomics Society Annual Meeting., 43, 184–187. https://doi.org/10.1177/154193129904300312
Parasuraman, R., & Riley, V. (1997). Humans and automation: Use, misuse, disuse, abuse. Human Factors: The Journal of the Human Factors and Ergonomics Society, 39, 230–253. https://doi.org/10.1518/001872097778543886
Endsley, M. R. (2017). From here to autonomy: Lessons learned from human-automation research. Human Factors, 59, 5–27. https://doi.org/10.1177/0018720816681350
Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11, 227–268.
Molino, M., Cortese, C. G., & Ghislieri, C. (2020). The promotion of technology acceptance and work engagement in industry 4.0: From personal resources to information and training. International Journal of Environmental Research and Public Health, 17, 2438. https://doi.org/10.3390/ijerph17072438
Barredo Arrieta, A., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., Garcia, S., Gil-Lopez, S., Molina, D., Benjamins, R., Chatila, R., & Herrera, F. (2020). Explainable explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information Fusion, 58, 82–115. https://doi.org/10.1016/j.inffus.2019.12.012
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Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy – EXC-2023 Internet of Production – 390621612. With thank the anonymous reviewers for their valuable feedback and Nina Braun for editing the manuscript.
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Brauner, P., Schaar, A.K., Ziefle, M. (2023). Interfaces, Interactions, and Industry 4.0: A Framework for the User-Centered Design of Industrial User Interfaces in the Internet of Production. In: Röcker, C., Büttner, S. (eds) Human-Technology Interaction. Springer, Cham. https://doi.org/10.1007/978-3-030-99235-4_14
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