Abstract
In the future, operators may be required to control and monitor multiple Teleoperated vehicles which could potentially increase usage errors, particularly in situations of high demand. The volume and type of data presented to an operator is key to ensuring accurate and successful operation. The current work examined the impact of increased sensor and automation state feedback on operator interactions with a teleoperated vehicle. Participants completed a simulation that required a teleoperated vehicle to be piloted to a specified region. The vehicle was equipped with both manual and autonomous control modes. It was found that increased sensor and automation state feedback increased the total number of manual interactions with the vehicle, as well as increased situation awareness. The presentation of sensor and automation state feedback may facilitate clearer understanding of automation and enable more precise and timely manual interactions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Fong, T., Thorpe, C.: Vehicle teleoperation interfaces. Auton. Robots 11, 9–18 (2001)
Lupashin, S., Andrea, R.D.: Stabilization of a flying vehicle on a taut tether using inertial sensing. In: 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2432–2438 (2013)
Bulich, C., Klein, A., Watson, R., Kitts, C.: Characterization of delay-induced piloting instability for the Triton undersea robot. In: Proceedings of the 2004 IEEE Aerospace Conference. IEEE (2004)
Young, C., Fletcher, B., Buescher, J., Whitcomb, L.L., Yoerger, D., Bowen, A., McCabe, R., Heintz, M., Fuhrmann, R., Taylor, C., Elder, R.: Field tests of the Hybrid Remotely Operated Vehicle (HROV) light fiber optic tether. In: OCEANS 2006, pp. 1–6 (2006)
Teague, J., Allen, M.J., Scott, T.B.: The potential of low-cost ROV for use in deep-sea mineral, ore prospecting and monitoring. Ocean Eng. 147, 333–339 (2018)
Murphy, R.R., Tadokoro, S., Nardi, D., Jacoff, A., Fiorini, P., Choset, H., Erkmen, A.M.: Search and rescue robotics. In: Siciliano, B., Khatib, O. (eds.) Springer Handbook of Robotics, pp. 1151–1173. Springer, Heidelberg (2008)
Pratt, K.S., Murphy, R.R., Burke, J.L., Craighead, J., Griffin, C., Stover, S.: Use of tethered small unmanned aerial system at Berkman Plaza II collapse. In: 2008 IEEE International Workshop on Safety, Security and Rescue Robotics, pp. 134–139. IEEE (2008)
Papachristos, C., Tzes, A.: The power-tethered UAV-UGV team: a collaborative strategy for navigation in partially-mapped environments. In: 22nd Mediterranean Conference on Control and Automation, pp. 1153–1158 (2014)
Krishna, M., Bares, J., Mutschler, E.: Tethering system design for Dante II. In: Proceedings of the 1997 IEEE International Conference on Robotics and Automation, pp. 1100–1105. IEEE (1997)
Nicotra, M.M., Naldi, R., Garone, E.: Taut cable control of a tethered UAV. IFAC Proc. Volumes 47, 3190–3195 (2014)
Aviles, W.A., Hughes, T., Everett, H.R., Umeda, A.Y., Martin, S.W., Koyamatsu, A., Solorzano, M.R., Laird, R.T., McArthur, S.P.: Issues in mobile robotics: the unmanned ground vehicle program teleoperated vehicle. In: Mobile Robots V, pp. 587–598. International Society for Optics and Photonics (1991)
Ferrell, W.R.: Remote manipulation with transmission delay. IEEE Trans. Hum. Factors Electron. HFE-6, 24–32 (1965)
Cummings, M.L., Bruni, S., Mercier, S., Mitchell, P.: Automation architecture for single operator, multiple UAV command and control. Massachusetts Inst of Tech Cambridge (2007)
Tognon, M., Franchi, A.: Nonlinear observer for the control of bi-tethered multi aerial robots. In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1852–1857. IEEE (2015)
Xiao, X., Dufek, J., Murphy, R.: Visual servoing for teleoperation using a tethered UAV (2017)
Weil, S.A., Freeman, J., MacMillan, J., Jackson, C.D., Mauer, E., Patterson, M.J., Linegang, M.P.: Design of a multi-vehicle control system: system design and user interaction. In: Human Factors of Remotely Operated Vehicles, pp. 223–236. Emerald Group Publishing Limited (2006)
Lewis, M., Wang, J., Scerri, P.: Teamwork coordination for realistically complex multi robot systems. In: NATO Symposium on Human Factors of Uninhabited Military Vehicles as Force Multipliers, pp. 1–12 (2006)
Ho, G., Pavlovic, N., Arrabito, R.: Human factors issues with operating unmanned underwater vehicles. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, pp. 429–433. Sage Publications Sage CA, Los Angeles (2011)
Schjølberg, I., Utne, I.B.: Towards autonomy in ROV operations. IFAC-PapersOnLine 48, 183–188 (2015)
Norman, D.A.: The ‘problem’ with automation: inappropriate feedback and interaction, not ‘over-automation’. Phil. Trans. R. Soc. Lond. B 327, 585–593 (1990)
Dzindolet, M.T., Peterson, S.A., Pomranky, R.A., Pierce, L.G., Beck, H.P.: The role of trust in automation reliance. Int. J. Hum Comput Stud. 58, 697–718 (2003)
Endsley, M.R.: From here to autonomy: lessons learned from human-automation research. Hum. Factors 59, 5–27 (2017)
Parasuraman, R., Riley, V.: Humans and automation: use, misuse, disuse, abuse. Hum. Factors 39, 230–253 (1997)
Endsley, M., Endsley, M.R.: Toward a theory of situation awareness in dynamic systems. Hum. Factors J. 37(1), 32–64 (1995)
Stanton, N.A., Stewart, R., Harris, D., Houghton, R.J., Baber, C., McMaster, R., Salmon, P., Hoyle, G., Walker, G., Young, M.S.: Distributed situation awareness in dynamic systems: theoretical development and application of an ergonomics methodology. Ergonomics 49, 1288–1311 (2006)
De Winter, J.C., Happee, R., Martens, M.H., Stanton, N.A.: Effects of adaptive cruise control and highly automated driving on workload and situation awareness: a review of the empirical evidence. Transp. Res. Part F Traffic Psychol. Behav. 27, 196–217 (2014)
Merritt, S.M., Ilgen, D.R.: Not all trust is created equal: dispositional and history-based trust in human-automation interactions. Hum. Factors 50, 194–210 (2008)
Parasuraman, R., Miller, C.A.: Trust and etiquette in high-criticality automated systems. Commun. ACM 47, 51–55 (2004)
Lee, J.D., Moray, N.: Trust, self-confidence, and operators’ adaptation to automation. Int. J. Hum Comput Stud. 40, 153–184 (1994)
Atoyan, H., Duquet, J.-R., Robert, J.-M.: Trust in new decision aid systems. In: Proceedings of the 18th Conference on L’Interaction Homme-Machine, pp. 115–122. ACM (2006)
Company, T.Q. Qt (version 5.10). The Qt Company, Santa Clara, USA (2018). https://www.qt.io/
Merritt, S.M.: Affective processes in human-automation interactions. Hum. Factors 53, 356–370 (2011)
Acknowledgements
This work was supported in part by the Human Sciences Domain of the UK Ministry of Defence Scientific Research Programme, contract TIN 3.228. Any views expressed are those of the authors and do not necessarily represent those of the Ministry of Defence or any other UK government department. The authors would like to thank representatives from the Defence Science and Technology Laboratory for their assistance in recruiting participants; along with Mrs Twist at the University of Southampton for their assistance with the running of experiments.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Pope, K.A., Roberts, A.P.J., Fenton, C.J., Stanton, N.A. (2020). Evaluating the Impact of Increased Volume of Data Transmission on Teleoperated Vehicles. In: Stanton, N. (eds) Advances in Human Factors of Transportation. AHFE 2019. Advances in Intelligent Systems and Computing, vol 964. Springer, Cham. https://doi.org/10.1007/978-3-030-20503-4_58
Download citation
DOI: https://doi.org/10.1007/978-3-030-20503-4_58
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-20502-7
Online ISBN: 978-3-030-20503-4
eBook Packages: EngineeringEngineering (R0)