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Visual Design for Predictive Display in Spatial Time-Delay Environments Considering Workload

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Design, User Experience, and Usability (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14031))

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Abstract

Time delay is an inherent technical feature that cannot be eliminated during space robot teleoperation and can significantly impact operator workload. In this paper, based on predictive display technology, we investigate the change of operator workload during teleoperation by image prediction graphical interface and virtual reality prediction graphical interface. By constructing a virtual simulation experiment platform for a remote operation system, 20 participants were tested and analyzed in a fetch-place experiment; TAM, NASA-TLX, and AB-directed questionnaires were distributed for subjective measurements to understand the personal perceptions and visual preferences of the participants on their workloads, and to investigate the applicability of the predictive display technology to reduce the operator’s cognitive load. The results showed that the subjective and objective performance of the virtual reality predictive graphical interface (VR-PGI) was higher than that of the image predictive graphical interface (I-PGI) in the fetch-place operation scenario. It was found that the operator’s workload did not change significantly with the increase of spatial time delay in the predictive graphical interface, which proved the practicality of applying the predictive graphical interface to the spatial teleoperation scenario.

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References

  1. Wang, X., Cao, J.: Dual-arm collaborative robot technology. Autom. Panor. 328(10), 84–90 (2020)

    Google Scholar 

  2. Chen, J., Huang, W., Song, A.: Dynamic model of human operator in force telepresence system based on virtual reality technology. J. Trans. Technol. 15(1), 230–236 (2001)

    Google Scholar 

  3. Arcara, P., Melchiorri, C.: Control schemes for teleoperation with time delay: a comparative study. Robot. Auton. Syst. 38(1), 49–64 (2002)

    Article  MATH  Google Scholar 

  4. Sweller, J.: Cognitive load theory. Psychol. Learn. Motiv. 2011(55), 37–76 (2011)

    Article  Google Scholar 

  5. Bejczy, A.K., Kim, W.S., Venema, S.C.: The phantom robot: predictive displays for teleoperation with time delay. In: International Conference on Robotics and Automation, Cincinnati, OH, USA, pp. 546–551 (1990)

    Google Scholar 

  6. Chou, W., Meng, C., Chen, J., Li, S.: Robot-assisted remote operating system for space science experiments. China Space Sci. Technol. 2003(06), 10–16 (2003)

    Google Scholar 

  7. Sheridan, T.B.: Human supervisory control of robot systems. In: 1986 IEEE International Conference, pp. 808–812 (1986)

    Google Scholar 

  8. Hirzinger, G., Landzettel, K., Dietrich, J.: Sensor-based space robotics - ROTEX and its telerobotic features. In: IEEE Transactions on Robotics and Automation, Graz, Austri, pp. 649–663 (1993)

    Google Scholar 

  9. Freund, E., Rossmann, J.: A new telepresence approach through the combination of virtual reality and robot control techniques. SPIE’s Int. Tech. Gr. Newsl. (2001)

    Google Scholar 

  10. Dybvik, H., Loland, M., Gerstenberg, A., Slattsveen, K.B., Steinert, M.: A low-cost predictive display for teleoperation: investigating effects on human performance and workload. Int. J. Hum. Comput. Stud. 145(1), 10–15 (2021)

    Google Scholar 

  11. Deying, G.: Optimization Management of Cognitive Load in Multimedia Learning. Southwest University, Chongqing (2009)

    Google Scholar 

  12. Kalyuga, S.: Expertise reversal effect and its implications for learner-tailored instruction. Educ. Psychol. Rev. 19(4), 509–539 (2007)

    Article  Google Scholar 

  13. Sweller, J.: Cognitive load during problem solving: effects on learning. Cogn. Sci. 12(2), 257–285 (1988)

    Article  Google Scholar 

  14. Gombolay, M., Bair, A., Huang, C., Shah, J.: Computational design of mixed-initiative human–robot teaming that considers human factors: situational awareness, workload, and workflow preferences. Int. J. Robot. Res. 36, 597–617 (2017)

    Article  Google Scholar 

  15. Parasuraman, R., Sheridan, T.B., Wickens, C.D.: Situation awareness, mental workload, and trust in automation: viable, empirically supported cognitive engineering constructs. J. Cognit. Eng. Decis. Mak. 2(2), 140–160 (2008)

    Article  Google Scholar 

  16. Jia, Y., Xi, N., Liu, S., et al.: Quality of teleoperator adaptive control for teleroboticoperations. Int. J. Robot. Res. 33(14), 1765–1781 (2014)

    Article  Google Scholar 

  17. Li, Y., Liu, S., Xi, N., et al.: A study of the relationship between brain states and skill level of teleoperator. In: 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 390–395 (2013)

    Google Scholar 

  18. Schmidlin, E.A., Jones, K.S.: Do tele-operators learn to better judge whether a robot can passthrough an aperture? Hum. Factors 58(2), 360–369 (2016)

    Article  Google Scholar 

  19. Loft, S., Sanderson, P., Neal, A., et al.: Modeling and predicting mental workload in en route air traffic control: critical review and broader implications. Hum. Factors 49(3), 376–399 (2007)

    Article  Google Scholar 

  20. Brookings, J.B., Wilson, G.F., Swain, C.R.: Psychophysiological responses to changes in workload during simulated air traffic control. Biol. Psychol. 42(3), 361–377 (1996)

    Article  Google Scholar 

  21. Hart, S.G., Staveland, L.E.: Development of NASA-TLX (task load index): results of empirical and theoretical research. Adv. Psychol. 52, 139–183 (1988)

    Article  Google Scholar 

  22. Kramer, A.F.: Physiological metrics of mental workload: a review of recent progress. Physiol. Metr. Ment. Workload Rev. Recent Prog. 279–328 (1991)

    Google Scholar 

  23. Steinfeld, A., Fong, T., Kaber, D., et al.: Common metrics for human-robot interaction. In: Proceedings of the 1st ACM SIGCHI/SIGART Conference on Human-Robot Interaction, New York, pp. 33–40 (2006)

    Google Scholar 

  24. Clarke, M.A., Schuetzler, R.M., Windle, J.R., et al.: Usability and cognitive load in the design of a personal health record. Health Policy Technol. 9(2), 218–224 (2020)

    Article  Google Scholar 

  25. You, Q.: Research and Application of Virtual Reality Oriented Digital Interface Usability. Guizhou University, Guiyang (2020)

    Google Scholar 

  26. Davis, F.D.: A technology Acceptance Model for Empirically Testing New end-User Information Systems: Theoryand Results. Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, pp. 40–64 (1986)

    Google Scholar 

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Funding

The Funding Agency is CHINA VIDEO INDUSTRY ASSOCIATION (CVIA), and the grant number is ZSXKT2023002.

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Correspondence to Jiadai Yan .

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Yan, J., Sun, J., Tang, T., Chen, Z. (2023). Visual Design for Predictive Display in Spatial Time-Delay Environments Considering Workload. In: Marcus, A., Rosenzweig, E., Soares, M.M. (eds) Design, User Experience, and Usability. HCII 2023. Lecture Notes in Computer Science, vol 14031. Springer, Cham. https://doi.org/10.1007/978-3-031-35696-4_24

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  • DOI: https://doi.org/10.1007/978-3-031-35696-4_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35695-7

  • Online ISBN: 978-3-031-35696-4

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