ABSTRACT
The purpose of this paper is to present a research proposal for an AR-based assembly training system. Findings from previous user studies on AR-based assembly training and their limitations are analyzed. Research questions are drafted and a research proposal for future research of an AR-based assembly training within the frame of a user study is presented. An iterative human-centered design process is proposed that integrates both production employees as well as training content creators (e.g. trainers or foremen) as end users in a co-creation process of an industrial assembly training system, which has not been done in previous studies. Including user groups in the early stages of the process will help to understand different user needs and requirements for an AR-based assembly training system that will be evaluated in an industrial training setting. A co-creation workshop according to the Design Sprint process is proposed to integrate different key users in the development process of the AR-based assembly training system. The final aim of this research project is to gain insights of how an assembly training system should be designed in order to create real value for the different users and the organization.
- Funk, M., Kosch, T., and Schmidt, A. 2016. Interactive worker assistance. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp '16. ACM Press, New York, New York, USA, 934--939. Google ScholarDigital Library
- Hořejší, P. 2015. Augmented Reality System for Virtual Training of Parts Assembly. Procedia Engineering 100, 699--706.Google ScholarCross Ref
- Werrlich, S., Daniel, A., Ginger, A., Nguyen, P.-A., and Notni, G. 2018. Comparing HMD-Based and Paper-Based Training. In Proceedings of the 2018 IEEE International Symposium on Mixed and Augmented Reality. {Munich, Germany, 16-20 October 2018}. IEEE Computer Society, Conference Publishing Services, Los Alamitos, California, 134--142.Google Scholar
- Azuma, R. T. 1997. A Survey of Augmented Reality. Presence: Teleoperators and Virtual Environments 6, 4, 355--385. Google ScholarDigital Library
- Syberfeldt, A., Holm, M., Danielsson, O., Wang, L., and Brewster, R. L. 2016. Support Systems on the Industrial Shop-floors of the Future -- Operators' Perspective on Augmented Reality. Procedia CIRP 44, 108--113.Google ScholarCross Ref
- Karlsson, I., Bernedixen, J., Ng, A. H.C., and Pehrsson, L. 2018. Combining augmented reality and simulation-based optimization for decision support in manufacturing. In WSC. 2017 Winter Simulation Conference: 3-6 December 2017. IEEE, New York, 3988--3999. Google ScholarDigital Library
- van Krevelen, D. 2007. Augmented Reality: Technologies, Applications, and Limitations, Vrije Universiteit Amsterdam.Google Scholar
- Kipper, G. and Rampolla, J. 2013. Augmented reality. An emerging technologies guide to AR. Syngress, Waltham, Mass. Google ScholarDigital Library
- Peddie, J. 2017. Augmented Reality. Springer International Publishing, Cham. Google ScholarDigital Library
- Doshi, A., Smith, R. T., Thomas, B. H., and Bouras, C. 2017. Use of projector based augmented reality to improve manual spot-welding precision and accuracy for automotive manufacturing. Int J Adv Manuf Technol 89, 5-8, 1279--1293.Google ScholarCross Ref
- Azuma, R., Baillot, Y., Behringer, R., Feiner, S., Julier, S., and MacIntyre, B. 2001. Recent advances in augmented reality. IEEE Comput. Grap. Appl. 21, 6, 34--47. Google ScholarDigital Library
- Braly, A. M., Nuernberger, B., and Kim, S. Y. 2019. Augmented Reality Improves Procedural Work on an International Space Station Science Instrument. Human factors, 18720818824464.Google Scholar
- Hou, L. and Wang, X. 2013. A study on the benefits of augmented reality in retaining working memory in assembly tasks: A focus on differences in gender. Automation in Construction 32, 38--45.Google ScholarCross Ref
- Werrlich, S., Lorber, C., Nguyen, P.-A., Yanez, C. E. F., and Notni, G. 2018. Assembly Training: Comparing the Effects of Head-Mounted Displays and Face-to-Face Training. In Virtual, augmented and mixed reality. Interaction, navigation, visualization, embodiment, and simulation: 10th International Conference, VAMR 2018, held as part of HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018: proceedings, part I, J. Y.C. Chen and G. Fragomeni, Eds. Lecture Notes in Computer Science 10909. Springer International Publishing, Cham, 462--476.Google Scholar
- Hart, S. G. and Staveland, L. E. 1988. Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research. In Human Mental Workload, P. A. Hancock and N. Meshkati, Eds. Advances in Psychology v. 52. Elsevier textbooks, s.l., 139--183.Google Scholar
- Hart, S. G. 2006. Nasa-Task Load Index (NASA-TLX); 20 Years Later. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 50, 9, 904--908.Google ScholarCross Ref
- Bangor, A., Kortum, P. T., and Miller, J. T. 2008. An Empirical Evaluation of the System Usability Scale. International Journal of Human-Computer Interaction 24, 6, 574--594.Google ScholarCross Ref
- Werrlich, S., Nitsche, K., and Notni, G. 2017. Demand Analysis for an Augmented Reality based Assembly Training. In PETRA 2017. The 10th ACM International Conference on PErvasive Technologies Related to Assistive Environments: June 21-23, 2017, Island of Rhodes, Greece. ICPS. ACM, New York, NY, USA, 416--422. Google ScholarDigital Library
- Bertram, P., Birtel, M., Quint, F., and Ruskowski, M. 2018. Intelligent Manual Working Station through Assistive Systems. IFAC-PapersOnLine 51, 11, 170--175.Google ScholarCross Ref
- Rooden, M. J. 1998. Thinking about thinking aloud. Contemporary Ergonomics, 328--332.Google Scholar
- Nisbett, R. E. and Wilson, T. d. 1977. Telling more than we can know: Verbal reports on mental processes. Psychological Review 84, 3, 231--259.Google ScholarCross Ref
- Ericsson, K. A. and Simon, H. A. 1977. Protocol Analysis. A comparison to cognitive science.Google Scholar
- Quandt, M., Knoke, B., Gorldt, C., Freitag, M., and Thoben, K.-D. 2018. General Requirements for Industrial Augmented Reality Applications. Procedia CIRP 72, 1130--1135.Google ScholarCross Ref
- Knapp, J. 2016. Sprint. How to solve big problems and test new ideas in just five days. Simon and Schuster, New York, N.Y.Google Scholar
- Bacca, J., Baldiris, S., Fabregat, R., Kinshuk, and Graf, S. 2015. Mobile Augmented Reality in Vocational Education and Training. Procedia Computer Science 75, 49--58.Google ScholarCross Ref
- tom Dieck, M. C. and Jung, T. 2019. Augmented Reality and Virtual Reality. Springer International Publishing, Cham. Google ScholarDigital Library
- Hermawati, S., Lawson, G., D'Cruz, M., Arlt, F., Apold, J., Andersson, L., Lövgren, M. G., and Malmsköld, L. 2015. Understanding the complex needs of automotive training at final assembly lines. Applied ergonomics 46 Pt A, 144--157.Google Scholar
- Murauer, N., Müller, F., Günther, S., Schön, D., Pflanz, N., and Funk, M. 2018. An Analysis of Language Impact on Augmented Reality Order Picking Training. In Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference on - PETRA '18. ACM Press, New York, New York, USA, 351--357. Google ScholarDigital Library
Index Terms
- A Human-Centered Design Process for an Augmented Reality based Training System
Recommendations
Demand Analysis for an Augmented Reality based Assembly Training
PETRA '17: Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive EnvironmentsThe first head-mounted display (HMD) was developed in 1986 by Ivan Sutherland. Since then, augmented reality (AR) applications are largely limited to prototypes. One reason might be the lack of user comprehension regarding user requirements. In order to ...
Stereoscopic augmented reality system for supervised training on minimal invasive surgery robots
VRIC '14: Proceedings of the 2014 Virtual Reality International ConferenceTraining in the use of robot-assisted surgery systems is necessary before a surgeon is able to perform procedures using these systems because the setup is very different from manual procedures. In addition, surgery robots are highly expensive to both ...
Virtual reality training for assembly of hybrid medical devices
Skill training in the medical device manufacturing industry is essential to optimize and expedite the efficiency level of new workers. This process, however, gives rise to many underlying issues such as contamination and safety risks, long training ...
Comments