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Articles

Adaptive instructions to novice shop-floor operators using Augmented Reality

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Pages 362-374 | Received 29 Mar 2016, Accepted 25 Feb 2017, Published online: 11 May 2017

References

  • Aehnelt M, Urban B. The knowledge gap: providing situation-aware information assistance on the shop floor. In: Fui-Hoon Nah F, Tan CH, editors. HCI in business. Cham: Springer; 2015. p. 232–243.
  • Grane C, Abrahamsson L, Andersson J, et al. The operator of the future–a key to competitive industry in a future information society. In: Proceedings of the 4th International Swedish Production Symposium. Linköping; 2012.
  • Karlsson M, Mattsson S, Fast-Berglund Å, et al. Could the use of ICT tools be the way to increase competitiveness in Swedish industry? Anal, Des, Eval Hum-Mach Syst. 2013; 12:179–86.
  • Syberfeldt A, Danielsson O, Holm M, et al. Augmented reality at the industrial shop-floor. In: De Paolis LT, Mongelli A, editors. Augmented and virtual reality. Heidelberg: Springer; 2014. p. 201–209.
  • Shipp SS, Gupta N, Lal B, et al. Emerging global trends in advanced manufacturing. DTIC Document; 2012.
  • Zauner J, Haller M, Brandl A, et al. Authoring of a mixed reality assembly instructor for hierarchical structures. In: Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality. Washington (DC): IEEE Computer Society; 2003.10.1109/ISMAR.2003.1240707
  • Nilsson S, Johansson B. Fun and usable: augmented reality instructions in a hospital setting. In: Proceedings of the 19th Australasian Conference on Computer-Human Interaction: Entertaining User Interfaces. New York (NY): ACM; 2007.10.1145/1324892
  • Sääski J, Salonen T, Hakkarainen M, et al. Integration of design and assembly using augmented reality. In: Ratchev S, Koelemeijer S, editors. Micro-assembly technologies and applications. Boston (MA): Springer; 2008. p. 395–404.
  • Henderson S, Feiner S. Exploring the benefits of augmented reality documentation for maintenance and repair. IEEE Trans Visual Comput Graphics. 2011;17(10):1355–68.10.1109/TVCG.2010.245
  • Tiefenbacher P, Lehment NH, Rigoll G. Augmented reality evaluation: a concept utilizing virtual reality. In Virtual, Augmented and Mixed Reality. Designing and Developing Virtual and Augmented Environments. Springer; 2014. p. 226–36.
  • Lee K. Augmented reality in education and training. TechTrends. 2012; 56(2):13–21.10.1007/s11528-012-0559-3
  • Radkowski R, Herrema J, Oliver J. Augmented reality-based manual assembly support with visual features for different degrees of difficulty. Int J Hum-Comput Interact. 2015; 31(5):337–49.10.1080/10447318.2014.994194
  • Wójcicki T. Supporting the diagnostics and the maintenance of technical devices with augmented reality. Diagnostyka. 2014; 15(1):43–7.
  • Hořejší P. Augmented reality system for virtual training of parts assembly. Procedia Engineering. 2015; 100:699–706.
  • Dünser A, Grasset R, Billinghurst M. A survey of evaluation techniques used in augmented reality studies. New Zealand: Human Interface Technology Laboratory; 2008.
  • Syberfeldt A, Danielsson O, Holm M, et al. Dynamic operator instructions based on augmented reality and rule-based expert systems. Procedia CIRP. 2016; 41:346–351.10.1016/j.procir.2015.12.113
  • Holm M, Adamson G, Wang L, et al. The future Swedish shop-floor operator – interviews with production managers. In: Proceedings of the Sixth Swedish Production Symposium, 2014. Gothenburg; 2014.
  • Hou L, Wang X, Truijens M. Using augmented reality to facilitate piping assembly: an experiment-based evaluation. J Comput Civil Eng. 2013; 29(1):05014007.
  • Makris S, Pintzos G, Rentzos L, et al. Assembly support using AR technology based on automatic sequence generation. CIRP Ann-Manuf Technol. 2013; 62(1):9–12.10.1016/j.cirp.2013.03.095
  • Wang X, Ong S, Nee A. A comprehensive survey of augmented reality assembly research. Advances in Manufacturing. 2016; 4:1–22.10.1007/s40436-015-0131-4
  • Nazri NIAM, Rambli DRA. Current limitations and opportunities in mobile augmented reality applications. In: Computer and Information Sciences (ICCOINS), 2014 International Conference On. IEEE; 2014.10.1109/ICCOINS.2014.6868425
  • Vilacoba D, Vi A, Weber P. Press dedicated machine show-room, a direct application of augmented reality in industry. An industrial augmented reality experience. In: 2016 IEEE International Conference on Industrial Technology (ICIT). IEEE; 2016.10.1109/ICIT.2016.7475072
  • Liao S-H. Expert system methodologies and applications – a decade review from 1995 to 2004. Expert Syst Appl. 2005; 28(1):93–103.10.1016/j.eswa.2004.08.003
  • Tasso C, Guida G. Topics in expert system design: methodologies and tools. 2014; Vol. 5. Elsevier.
  • Patel M, Virparia P, Patel D. Web based fuzzy expert system and its applications–a survey. Int J Appl Inf Syst. 2012; 1(7):11–5.
  • Olugu EU, Wong KY. An expert fuzzy rule-based system for closed-loop supply chain performance assessment in the automotive industry. Expert Syst Appl. 2012; 39(1):375–84.10.1016/j.eswa.2011.07.026
  • Huang JM, Chai MJ, Zhang RY. Fault diagnosis expert system applied on machinery industry. In: Applied Mechanics and Materials. Trans Tech Publications; 2013.
  • Laureano-Cruces AL, Antuñano-Barranco JMA, Sarmiento-Bustos E. An expert system to improve the functioning of the clothing industry. Int J Clothing Sci Technol. 2015; 27(1):99–128.
  • Prasad K, Chakraborty S. Development of a QFD-based expert system for CNC turning centre selection. J Ind Eng Int. 2015; 11(4):575–94.10.1007/s40092-015-0122-x
  • Hajovy H, Christensen DL. Intelligent computer-assisted instruction: the next generation. In: Expert Systems and Intelligent Computer-aided Instruction. Englewood Cliffs (NJ): Educational Technology Publications; 1990.
  • Pan X. An experimental adaptive expert system. In: Proc. InterSymp-2000’. Baden-Baden; 2000.
  • Wiedenmaier S, Oehme O, Schmidt L, et al. Augmented reality (AR) for assembly processes design and experimental evaluation. Int J Hum-Comput Interact. 2003; 16(3):497–514.10.1207/S15327590IJHC1603_7
  • Golański P, Perz-Osowska M, Szczekala M. A demonstration model of a mobile expert system with augmented reality user interface supporting M-28 aircraft maintenace. J KONBiN. 2014; 31(1):23–31.
  • Kirschner PA, Sweller J, Clark RE. Why minimal guidance during instruction does not work: an analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educational Psychologist. 2006; 41(2):75–86.10.1207/s15326985ep4102_1
  • Ben-Zvi T. Measuring the perceived effectiveness of decision support systems and their impact on performance. Decis Support Syst. 2012; 54(1):248–56.10.1016/j.dss.2012.05.033
  • ISO. ISO 9241, ergonomics of human system interaction. Geneva: International Organization for Standardization; 2010.
  • Gediga G, Hamborg K-C, Düntsch I. The IsoMetrics usability inventory: an operationalization of ISO 9241-10 supporting summative and formative evaluation of software systems. Behav Inf Technol. 1999; 18(3):151–64.10.1080/014492999119057
  • Brooke J. SUS-A quick and dirty usability scale. Usability Eval Ind. 1996; 189(194):4–7.
  • Bangor A, Kortum P, Miller J. An empirical evaluation of the System Usability Scale. Int J Hum-Comput Interact. 2008; 24(6):574–94.10.1080/10447310802205776
  • Bangor A, Kortum P, Miller J. Determining what individual SUS scores mean: adding an adjective rating scale. J Usability Stud. 2009; 4(3):114–23.
  • Kortum PT, Bangor A. Usability ratings for everyday products measured with the System Usability Scale. Int J Hum-Comput Interact. 2013; 29(2):67–76.10.1080/10447318.2012.681221
  • Speier C, Morris MG. The influence of query interface design on decision-making performance. Mis Q. 2003; 397–423.
  • Syberfeldt A, Holm M, Danielsson O, et al. Support systems on the industrial shop-floors of the future–operators’ perspective on augmented reality. Procedia CIRP. 2016; 44:108–13.10.1016/j.procir.2016.02.017
  • Thorvald P, Högberg D, Case K. The effect of information mobility on production quality. Int J Comput Integr Manuf. 2014; 27(2):120–28.10.1080/0951192X.2013.800236

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