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“Simplified Human-Robot Interaction: Modeling and Evaluation”

Authors: Balazs Daniel, Trygve Thomessen and Peter Korondi,
Affiliation: Budapest University of Technology and Economics and PPM AS
Reference: 2013, Vol 34, No 4, pp. 199-211.

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Keywords: Human-robot interaction, industrial robotics, graphical user interface, usability

Abstract: In this paper a novel concept of human-robot interaction (HRI) modeling is proposed. Including factors like trust in automation, situational awareness, expertise and expectations a new user experience framework is formed for industrial robots. Service Oriented Robot Operation, proposed in a previous paper, creates an abstract level in HRI and it is also included in the framework. This concept is evaluated with exhaustive tests. Results prove that significant improvement in task execution may be achieved and the new system is more usable for operators with less experience with robotics; personnel specific for small and medium enterprises (SMEs).

PDF PDF (1470 Kb)        DOI: 10.4173/mic.2013.4.4

DOI forward links to this article:
  [1] Jochen Nelles, Sonja Th. Kwee-Meier and Alexander Mertens (2019), doi:10.1007/978-3-319-96068-5_14
  [2] Abdelfetah Hentout, Mustapha Aouache, Abderraouf Maoudj and Isma Akli (2019), doi:10.1080/01691864.2019.1636714

[1] Csapo, A. and Baranyi, P. (2012). A unified terminology for the structure and semantics of coginfocom channels, Acta Polytechnica Hungarica. 9(1):85--105.
[2] Csikszentmihalyi, M. (1997). Finding Flow: The Psychology of Engagement with Everyday Life, MasterMinds - BasicBooks. BasicBooks. http://www.google.no/books?id=HBod-fUzmBcC, ISBN: 978-0465024117.
[3] Daniel, B., Korondi, P., Sziebig, G., and Thomessen, T. (2014). Evaluation of flexible graphical user interface for intuitive human robot interactions, Acta Politechnica Hungarica. 11(1):135--151.
[4] Endsley, M.R. (2000). Theoretical underpinnings of situation awareness: A critical review, pages 3--32, Mahwah, NJ: Lawrence Erlbaum Associates.
[5] Goodrich, M.A. and Schultz, A.C. (2007). Human-robot interaction: a survey, Found. Trends Hum.-Comput. Interact.. 1(3):203--275. doi:10.1561/1100000005
[6] Hoffman, R., Johnson, M., Bradshaw, J., and Underbrink, A. (2013). Trust in automation, Intelligent Systems, IEEE. 28(1):84--88. doi:10.1109/MIS.2013.24
[7] McBride, S.E. (2010). The Effect of Workload and Age on Compliance with and Reliance on an Automated System, Master's thesis, Georgia Institute of Technology.
[8] Norman, D.A. and Draper, S.W. (1986). User Centered System Design; New Perspectives on Human-Computer Interaction, L. Erlbaum Associates Inc., Hillsdale, NJ, USA.
[9] Schaffer, O. (2013). Crafting fun user experiences: A method to facilitate flow, White paper, Human Factors International.
[10] Scholtz, J. (2003). Theory and evaluation of human robot interactions, In System Sciences. Proceedings of the 36th Annual Hawaii International Conference on. pages 10--pp. doi:10.1109/HICSS.2003.1174284
[11] Sheridan, T.B. (1997). Eight ultimate challenges of human-robot communication, In Robot and Human Communication. RO-MAN'97. Proceedings., 6th IEEE International Workshop on. IEEE, pages 9--14. doi:10.1109/ROMAN.1997.646944
[12] Steinfeld, A., Fong, T., Kaber, D., Lewis, M., Scholtz, J., Schultz, A., and Goodrich, M. (2006). Common metrics for human-robot interaction, In Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction, HRI '06. ACM, New York, NY, USA, pages 33--40, 2006. doi:10.1145/1121241.1121249

  title={{Simplified Human-Robot Interaction: Modeling and Evaluation}},
  author={Daniel, Balazs and Thomessen, Trygve and Korondi, Peter},
  journal={Modeling, Identification and Control},
  publisher={Norwegian Society of Automatic Control}


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