Abstract
This experimental study is set out to explore the effects of collaborative robotic system features on Workers’ perceived cognitive workload, usability and visual attention. This work’s primary objective is to identify strategies for lowering workers’ cognitive workload and increase usability when collaborating with robots in assembly tasks, ultimately fostering safety and performance. Perceived cognitive workload significantly decreased, and usability increased with the manipulation of workstation elements as well as the conditions of human interaction. Individual differences across participants suggest that robots should be capable of adjusting their behaviour according to the specific user.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Welfare, K. S., Hallowell, M. R., Shah, J. A., Riek, L.D.: Consider the human work experience when integrating robotics in the workplace. In 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (pp. 75–84). IEEE, March 2019
Gualtieri, L., Palomba, I., Merati, F.A., Rauch, E., Vidoni, R.: Design of human-centered collaborative assembly workstations for the improvement of operators’ physical ergonomics and production efficiency: a case study. Sustainability 12(9), 3606 (2020)
Camilli, M., Nacchia, R., Terenzi, M., Di Nocera, F.: ASTEF: simple tool for examining fixations. Behav. Res. Meth. 40(2), 373–382 (2008)
Abd, M., Gonzalez, I., Nojoumian, M., Engeberg, E.: Impacts of robot assistant performance on human trust, satisfaction, and frustration. RSS: Morality and Social Trust in Autonomous Robots (2017)
Bhavsar, P., Srinivasan, B., Srinivasan, R.: Pupillometry based real-time monitoring of operator’s cognitive workload to prevent human error during abnormal situations. Ind. Eng. Chem. Res. 55(12), 3372–3382 (2016)
Carlson, T., Demiris, Y.: Using visual attention to evaluate collaborative control architectures for human robot interaction. In: Proceedings of New Frontiers in Human-Robot Interaction: A symposium at the AISB 2009 Convention No. CONF, pp. 38–43. SSAISB (2009)
Chen, T., Campbell, D., Gonzalez, F., Coppin, G.: The effect of autonomy transparency in human-robot interactions: a preliminary study on operator cognitive workload and situation awareness in multiple heterogeneous UAV management. In: Proceedings of Australasian Conference on Robotics and Automation, pp. 1–10, December 2014
Cummings, M. L., Bruni, S., Mercier, S., Mitchell, P. J.: Automation architecture for single operator, multiple UAV command and control. Massachusetts Inst of Tech Cambridge (2007)
Evans, D.C., Fendley, M.: A multi-measure approach for connecting cognitive workload and automation. Int. J. Hum.-Comput. Stud. 97, 182–189 (2017)
Fujita, M., Kato, R., Tamio, A.: Assessment of operators’ mental strain induced by hand-over motion of industrial robot manipulator. In: 19th International Symposium in Robot and Human Interactive Communication, pp. 361–366. IEEE (2010)
Yang, E., Dorneich, M.C.: The emotional, cognitive, physiological, and performance effects of variable time delay in robotic teleoperation. Int. J. Soc. Robot. 9(4), 491–508 (2017)
Lohse, M., Rothuis, R., Gallego-Pérez, J., Karreman, D.E., Evers, V.: Robot gestures make difficult tasks easier: the impact of gestures on perceived workload and task performance. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1459–1466, April 2014
Prewett, M.S., Johnson, R.C., Saboe, K.N., Elliott, L.R., Coovert, M.D.: Managing workload in human–robot interaction: a review of empirical studies. Comput. Hum. Behav. 26(5), 840–856 (2010)
Romero, D., Mattsson, S., Fast-Berglund, Å., Wuest, T., Gorecky, D., Stahre, J.: Digitalising occupational health, safety and productivity for the operator 4.0. In: IFIP International Conference on Advances in Production Management Systems, pp. 473–481. Springer, Cham, August 2018
Tsarouchi, P., Makris, S., Chryssolouris, G.: Human–robot interaction review and challenges on task planning and programming. Int. J. Comput. Integrat. Manuf. 29(8), 916–931 (2016)
Lewis, J.J.R., Sauro, J.: Revisiting the factor structure of the system usability scale. J. Usabil. Stud. 12(4) (2017)
Villani, V., Pini, F., Leali, F., Secchi, C.: Survey on human–robot collaboration in industrial settings: safety, intuitive interfaces and applications. Mechatronics 55, 248–266 (2018)
Hart, S.G.: NASA-task load index (NASA-TLX); 20 years later. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 50, no. 9, pp. 904–908. Sage publications, Los Angeles, October 2006
Yagoda, R.E.: Development of the human-robot interaction workload measurement tool (HRI-WM). In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 54, no. 4, pp. 304–308. SAGE Publications, Los Angeles, September 2010
Kim, H., Gabbard, J.L., Martin, S., Tawari, A., Misu, T.: Toward prediction of driver awareness of automotive hazards: driving-video-based simulation approach. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 63, no. 1, pp. 2099–2103. SAGE Publications, Los Angeles, November 2019
Rojas, R.A., Garcia, M.A.R., Wehrle, E., Vidoni, R.: A variational approach to minimum-jerk trajectories for psychological safety in collaborative assembly stations. IEEE Robot. Autom. Lett. 4(2), 823–829 (2019)
Deci, E.L., Ryan, R.M.: The” what” and” why” of goal pursuits: Human needs and the self-determination of behavior. Psychol. Inqu. 11(4), 227–268 (2000)
van Minkelen, P., Gruson, C., van Hees, P., Willems, M., de Wit, J., Aarts, R., Vogt, P.: Using self-determination theory in social robots to increase motivation in L2 word learning. In: Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, pp. 369–377, March 2020
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Fraboni, F., Gualtieri, L., Millo, F., De Marchi, M., Pietrantoni, L., Rauch, E. (2022). Human-Robot Collaboration During Assembly Tasks: The Cognitive Effects of Collaborative Assembly Workstation Features. In: Black, N.L., Neumann, W.P., Noy, I. (eds) Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021). IEA 2021. Lecture Notes in Networks and Systems, vol 223. Springer, Cham. https://doi.org/10.1007/978-3-030-74614-8_29
Download citation
DOI: https://doi.org/10.1007/978-3-030-74614-8_29
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-74613-1
Online ISBN: 978-3-030-74614-8
eBook Packages: EngineeringEngineering (R0)