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User Experience Best Practices for Human-Robot Interaction

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Human-Computer Interaction. Interaction Techniques and Novel Applications (HCII 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12763))

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Abstract

User experience (UX) design of human-robot interaction (HRI) is an emerging practice [1]. Best practices for this discipline are actively evolving as robotics expands into commercial markets. As is typical of emerging technologies, the technology itself takes center stage, continuing to present challenges to proper functioning as it is tested in real world applications. Also, deployment comes at a high price until the market is competitive enough to drive hardware and development prices down. All these aspects preclude an emphasis on UX design, until the technology and associated market reaches a tipping point and good user experience is in demand. If robots continue to be deployed at rates the industry currently predicts, the need for user experience design knowledge and best practices for HRI is eminent. Best practices are a collection of methods, specifically principles, heuristic evaluators and taxonomies [2]. Principles embody high level guidance for design direction and design processes [3]. Heuristics ensure measurable “must have” base-functionality [4,5,6]. Taxonomies provide a conceptual understanding of possible categories of interactivity [7,8,9]. This paper focuses on two aspects of best practices, 1.) proposing a robustly user-centric set of emerging technology principles for HRI, which is the area of best practices least explored by the literature, and 2.) proposing a design matrix as a beginning step in addressing the complexity of HRI.

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References

  1. Lindblom, J., Andreasson, R.: Current challenges for UX evaluation of human-robot interaction. In: Schlick, C., Trzcieliński, S. (eds.) Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future. Advances in Intelligent Systems and Computing, vol. 490, pp. 267–77. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-41697-7_24

  2. Best Practice: https://en.wikipedia.org/wiki/Best_practice. Accessed 12 Feb 2021

  3. Tognazzini, B.: First Principles, HCI Design, Human Computer Interaction (HCI), Principles of HCI Design, Usability Testing. https://asktog.com/atc/principles-of-interaction-design/. Accessed 12 Feb 2021

  4. Clarkson, E., Arkin, R.: Applying heuristic evaluation to human-robot interaction systems. In: GVU Tech Report No. GIT-GVU-06–08 (2006). ftp://ftp.cc.gatech.edu/pub/gvu/tr/2006/06-08.pdf

  5. Powers, A.: FEATURE, what robotics can learn from HCI. Interactions 15(2), 67–69 (2008). https://doi.org/10.1145/1340961.1340978

  6. Weiss, A., Wurhofer, D., Bernhaupt, R., Altmaninger, M., Tscheligi, M.: A methodological adaptation for heuristic evaluation of HRI. In: 19th International Symposium in Robot and Human Interactive Communication, Viareggio, pp. 1–6 (2010). https://doi.org/10.1109/ROMAN.2010.5598735.

  7. Malik, A.A., Bilberg, A.: Developing a reference model for human–robot interaction. Int. J. Interact. Des. Manufact. (IJIDeM) 13(4), 1541–1547 (2019). https://doi.org/10.1007/s12008-019-00591-6

    Article  Google Scholar 

  8. Yanco, H.A., Drury, J.L.: Classifying human-robot interaction: an updated taxonomy. In: 2004 IEEE International Conference on Systems, Man and Cybernetics, The Hague, vol. 3, p. 2841 (2004). https://doi.org/10.1109/ICSMC.2004.1400763

  9. Yanco, H.A, Drury, J.L.: A taxonomy for human-robot interaction. In: Proceedings of the AAAI Fall Symposium on Human-robot Interaction, pp. 111–119 (2002)

    Google Scholar 

  10. Rosenzweig, E.: Successful User Experience: Strategies and Roadmaps. Morgan Kaufmann Publishers Inc., San Francisco (2015). https://doi.org/10.1016/C2013-0-19353-1

  11. Wigdor, D., Wixon, D.: Brave NUI World, Designing Natural User Interfaces for Touch and Gesture. Morgan Kaufman, Boston (2011)

    Google Scholar 

  12. Shneiderman, B.: Designing the User Interface: Strategies for Effective Human-Computer Interaction. Addison-Wesley Publishing Co., Reading (1987)

    Google Scholar 

  13. Scholtz, J.: Evaluation methods for human-system performance of intelligent systems. In: Proceedings of PERMIS'02 (2002)

    Google Scholar 

  14. Nielsen, J.: Finding usability problems through heuristic evaluation. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 373–380. Association for Computing Machinery, Monterey (1992). https://doi.org/10.1145/142750.142834

  15. Nielsen, J.: Enhancing the explanatory power of usability heuristics. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 152–158. Association for Computing Machinery, Boston (1994). https://doi.org/10.1145/191666.191729

  16. Mankoff, J., Dey, A.K., Hsieh, G., Kientz, J., Ames, M., Lederer, S.: Heuristic evaluation of ambient displays. In: Proceedings of CHI'03, pp. 169–176 (2003)

    Google Scholar 

  17. Onnasch, L., Roesler, E.: A taxonomy to structure and analyze human–robot interaction. Int. J. Soc. Robot. 1–17 (2020). https://doi.org/10.1007/s12369-020-00666-5

  18. Weiss, A., Bernhaupt, R., Lankes, M., Tscheligi, M.: The USUS evaluation framework for human-robot interaction. Proc. AISB 09(4), 11–26 (2009)

    Google Scholar 

  19. Nielsen, J.: 10 Usability Heuristics for Interface Design. https://www.nngroup.com/articles/ten-usability-heuristics/. Accessed 12 Feb 2021

  20. Liu, H., Wang, L.: Gesture recognition for human-robot collaboration: a review. Int. J. Ind. Ergon. 68, 355–367 (2018). https://doi.org/10.1016/j.ergon.2017.02.004

    Article  Google Scholar 

  21. Sheikholeslami, S., Moon, A., Croft, E.A.: Cooperative gestures for industry: exploring the efficacy of robot hand configurations in expression of instructional gestures for human–robot interaction. Int. J. Robot. Res. 36, 699–720 (2017). https://doi.org/10.1177/0278364917709941

    Article  Google Scholar 

  22. Getting Started with the Guide | Alexa Skills Kit: https://developer.amazon.com/en-US/docs/alexa/alexa-design/get-started.html. Accessed 12 Feb 2021

  23. Principles of Leap Motion Interaction Design: https://blog.leapmotion.com/6-principles-of-interaction-design/. Accessed 12 Feb 2021

  24. Our Principles – Google AI: https://ai.google/principles/. Accessed 12 Feb 2021

  25. Campana, J.R., Quaresma, M.: The importance of specific usability guidelines for robot user interfaces. In: Marcus, A., Wang, W. (eds.) DUXU 2017. LNCS, vol. 10289, pp. 471–483. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58637-3_37

    Chapter  Google Scholar 

  26. Shamonsky, D.: User Experience Design Principles for a Natural User Interface (NUI). https://www.ics.com/blog/user-experience-design-principles-natural-user-interface-nui. Accessed 12 Feb 2021

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  1. Brandeis University, 415 South Street, Waltham, MA, 02453, USA

    Dorothy Shamonsky

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  1. Dorothy Shamonsky
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Correspondence to Dorothy Shamonsky .

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  1. The Open University of Japan, Chiba, Japan

    Masaaki Kurosu

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Shamonsky, D. (2021). User Experience Best Practices for Human-Robot Interaction. In: Kurosu, M. (eds) Human-Computer Interaction. Interaction Techniques and Novel Applications. HCII 2021. Lecture Notes in Computer Science(), vol 12763. Springer, Cham. https://doi.org/10.1007/978-3-030-78465-2_24

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  • DOI: https://doi.org/10.1007/978-3-030-78465-2_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78464-5

  • Online ISBN: 978-3-030-78465-2

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