Abstract
Short-term qualification for temporary workers is a constant challenge for manufacturing companies. Cycle times of machines often have to be reduced for training processes, which demands time and financial resources. This increases the need for near-the-job trainings without manipulating cycle times of the machine. Digital visualization tools using Mixed Reality (MR) promise opportunities for application-oriented practical training. However, especially for industrial applications, where procedural knowledge has to be transferred, it is not clear which MR technology should be used for which purpose. In order to answer this question, this paper examines the underlying MR-features of the technology. In an experimental setting, the same virtual training for the assembly of a pneumatic cylinder is examined with an augmented reality/augmented virtuality (AR/AV) based application in comparison to a virtual reality (VR) based application. Based on the carried out study, there are significant differences in the evaluation of the system usability, but no differences in the evaluation of the ergonomics and the perceived task load during the task. Out of 16 test persons, 14 would choose the VR system in the final analysis. The results are discussed in the paper and recommendations for the design of MR based systems in an industrial context are given.
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References
Benešová, A., Hirman, M., Steiner, F., Tupa, J.: Analysis of education requirements for electronics manufacturing within concept industry 4.0. In: 2018 41st International Spring Seminar on Electronics Technology (ISSE), pp. 1–5. IEEE, Piscataway (2018)
Chang, M.M.L., Ong, S.K., Nee, A.Y.C.: Approaches and challenges in product disassembly planning for sustainability. Procedia CIRP 60, 506–511 (2017)
Kerin, M., Pham, D.T.: A review of emerging industry 4.0 technologies in remanufacturing. J. Cleaner Prod. 237, 117805 (2019)
Konings, J., Vanormelingen, S.: The impact of training on productivity and wages: firm-level evidence. Rev. Econ. Stat. 97(2), 485–497 (2015)
Kim, M., Park, K.-B., Choi, S.H., Lee, J.Y., Kim, D.Y.: AR/VR-based live manual for user-centric smart factory services. In: Moon, I., Lee, Gyu M., Park, J., Kiritsis, D., von Cieminski, G. (eds.) APMS 2018. IAICT, vol. 536, pp. 417–421. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-99707-0_52
Velosa, J.D., Cobo, L., Castillo, F., Castillo, C.: Methodological proposal for use of virtual reality VR and augmented reality AR in the formation of professional skills in industrial maintenance and industrial safety. In: Auer, M.E., Zutin, D.G. (eds.) Online Engineering & Internet of Things. LNNS, vol. 22, pp. 987–1000. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-64352-6_92
Werrlich, S., Daniel, A., Ginger, A., Nguyen, P.A., Notni, G.: Comparing HMD-based and paper-based training. In: 2018 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 134–142. IEEE (2018)
Andaluz, V.H., et al.: Multi-user industrial training and education environment. In: De Paolis, L.T., Bourdot, P. (eds.) AVR 2018. LNCS, vol. 10851, pp. 533–546. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-95282-6_38
Ghandi, S., Masehian, E.: Review and taxonomies of assembly and disassembly path planning problems and approaches. Comput. Aided Des. 67–68, 58–86 (2015)
Choi, S., Jung, K., Noh, S.D.: Virtual reality applications in manufacturing industries: past research, present findings, and future directions. Concurr. Eng. 23(1), 40–63 (2015)
Daling, L., Abdelrazeq, A., Sauerborn, C., Hees, F.: A comparative study of augmented reality assistant tools in assembly. In: Ahram, T., Falcão, C. (eds.) AHFE 2019. AISC, vol. 972, pp. 755–767. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-19135-1_74
Dede, C.J., Jacobson, J., Richards, J.: Introduction: virtual, augmented, and mixed realities in education. In: Liu, D., Dede, C., Huang, R., et al. (eds.) Virtual, Augmented, and Mixed Realities in Education, pp. 1–19. Springer, Singapore (2017). https://doi.org/10.1007/978-981-10-5490-7_1
Müller, B.C., et al.: Motion tracking applied in assembly for worker training in different locations. Procedia CIRP 48, 460–465 (2016)
Guo, Q.: Learning in a mixed reality system in the context of Industrie 40. J. Tech. Educ. 3(2), 92–115 (2015)
Milgram, P., Colquhoun, H.: A taxonomy of real and virtual world display integration. In: Ohta, Y., Tamura, H. (eds.) Mixed reality: Merging real and virtual worlds, pp. 5–30. Springer, Berlin (1999). https://doi.org/10.1007/978-3-319-08234-9_205-1
Azuma, R., Baillot, Y., Behringer, R., Feiner, S., Julier, S., MacIntyre, B.: Recent advances in augmented reality. IEEE Comput. Graph. Appl. 21(6), 34–47 (2001)
Chicaiza, E.A., De la Cruz, E.I., Andaluz, V.H.: Augmented reality system for training and assistance in the management of industrial equipment and instruments. In: Bebis, G., et al. (eds.) ISVC 2018. LNCS, vol. 11241, pp. 675–686. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-03801-4_59
Regenbrecht, H., et al.: An augmented virtuality approach to 3D videoconferencing. In: Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality, ISMAR 2003, pp. 290–291. IEEE, Washington (2003)
Ternier, S., Klemke, R., Kalz, M., Van Ulzen, P., Specht, M.: AR learn: augmented reality meets augmented virtuality. J. Univers. Comput. Sci. Technol. Learn. Phys. Virt. Spaces 18(15), 2143–2164 (2012)
Normand, J.M., Servières, M., Moreau, G.: A new typology of augmented reality applications. In: Proceedings of the 3rd Augmented Human International Conference, AH 2012, pp. 1–8. ACM, New York (2012)
Paiva Guimarães, M., Dias, D.R.C., Mota, J.H., Gnecco, B.B., Durelli, V.H.S., Trevelin, L.C.: Immersive and interactive virtual reality applications based on 3D web browsers. Multimedia Tools Appl. 77(1), 347–361 (2018)
Porras, A.P., Solis, C.R., Andaluz, V.H., Sánchez, J.S., Naranjo, C.A.: Virtual training system for an industrial pasteurization process. In: De Paolis, L.T., Bourdot, P. (eds.) AVR 2019. LNCS, vol. 11614, pp. 430–441. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-25999-0_35
Milgram, P., Kishino, F.: A taxonomy of mixed reality visual displays. IEICE Trans. Inf. Syst. E77-D(12), 1321–1329 (1994)
Lindemann, R.W., Noma, H.: A classification scheme for multi-sensory augmented reality. In: Proceedings of the 2007 ACM Symposium on Virtual Reality Software and Technology, pp. 175–178. ACM, New York (2007)
Tönnies, M., Plecher, D.A.: Presentation Principles in Augmented Reality - Classification and Categorization Guidelines Version 1.0. Technical Report (TUM-I1111). Technische Universität München (2011)
Mackay, W.E.: Augmented reality: linking real and virtual worlds - a new paradigm for interacting with computers. In: Proceedings of AVI 1998, ACM Conference on Advanced Visual Interfaces AVI, pp. 13–21. ACM, New York (2000)
Ortiz, J.S., et al.: Teaching-Learning process through VR applied to automotive engineering. In: Proceedings of the 2017 9th International Conference on Education Technology and Computers, ICETC 2017, pp. 36–40. ACM, New York (2017)
Radkowski, R., Herrema, J., Oliver, J.: Augmented reality-based manual assembly support with visual features for different degrees of difficulty. Int. J. Hum.-Comput. Inter. 31(5), 337–349 (2015)
Karrer, K., Glaser, C., Clemens, C., Bruder, C.: Technikaffinität erfassen–der Fragebogen TA-EG. In: Lichtenstein, A., Stößel, C., Clemens, C. (eds.) Der Mensch im Mittelpunkt technischer Systeme. 8. Berliner Werkstatt Mensch-Maschine-Systeme, ZMMS Spektrum, vol. 22, no. 29, pp. 196–201. VDI, Düsseldorf (2009)
Nielsen, J.: Enhancing the explanatory power of usability heuristics. In: Adelson, B., Dumais, S., Olson, J. (eds.) Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 1994, pp. 152–158. ACM, New York (1994)
Beier, G.: Kontrollüberzeugungen im Umgang mit Technik. Rep. Psychol. 24(9), 684–693 (1999)
Brooke, J.: SUS-A quick and dirty usability scale. In: Jordan, P.W., Thomas, B., Weerdmeester, B.A., McLelland, I.L. (eds.) Usability evaluation in industry, pp. 189–194. Taylor and Francis, London (1996)
Hart, S.G.: NASA-task load index (NASA-TLX): 20 Years Later. In: Proceedings of the Human Factors and Ergonomics Society 50th Annual Meeting, pp. 904–908. HFES, Santa Monica (2006)
Acknowledgement
This work is part of the project ‘“ELLI 2 - Excellent Teaching and Learning in Engineering Sciences” and was funded by the Federal Ministry of Educatio and Research (BMBF), Germany.
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Daling, L.M., Abdelrazeq, A., Isenhardt, I. (2020). A Comparison of Augmented and Virtual Reality Features in Industrial Trainings. In: Chen, J.Y.C., Fragomeni, G. (eds) Virtual, Augmented and Mixed Reality. Industrial and Everyday Life Applications. HCII 2020. Lecture Notes in Computer Science(), vol 12191. Springer, Cham. https://doi.org/10.1007/978-3-030-49698-2_4
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