154
Views
1
CrossRef citations to date
0
Altmetric
Research Article

Effects of Prior Robot Experience, Speed, and Proximity on Psychosocial Reactions to a Soft Growing Robot

ORCID Icon, ORCID Icon, , , &
Pages 84-96 | Received 11 May 2023, Accepted 13 Nov 2023, Published online: 25 Nov 2023

References

  • Arai, T., Kato, R., & Fujita, M. (2010). Assessment of operator stress induced by robot collaboration in assembly. CIRP Annals, 59(1), 5–8. https://doi.org/10.1016/j.cirp.2010.03.043
  • Block, A. E., & Kuchenbecker, K. J. (2019). Softness, warmth, and responsiveness improve robot hugs. International Journal of Social Robotics, 11(1), 49–64. https://doi.org/10.1007/s12369-018-0495-2
  • Breakwell, G. M., Fife-Schaw, C., Lee, T., & Spencer, J. (1986). Attitudes to new technology in relation to social beliefs and group memberships: A preliminary investigation. Current Psychological Research & Reviews, 5(1), 34–47. https://doi.org/10.1007/BF02686595
  • Bridger, R. S., Brasher, K., Dew, A., Sparshott, K., & Kilminster, S. (2010). Job strain related to cognitive failure in naval personnel. Ergonomics, 53(6), 739–747. https://doi.org/10.1080/00140131003672031
  • Collins, K. (2015, February 2). Robot kills worker at Volkswagen plant. Wired. Retrieved from https://www.wired.co.uk/article/robot-kills-man-at-volkswagen-factory
  • Corbato, C. H., Bharatheesha, M., Van Egmond, J., Ju, J., & Wisse, M. (2018). Integrating different levels of automation: Lessons from winning the amazon robotics challenge 2016. IEEE Transactions on Industrial Informatics, 14(11), 4916–4926. https://doi.org/10.1109/TII.2018.2800744
  • De Graaf, M. M., & Allouch, S. B. (2013). Exploring influencing variables for the acceptance of social robots. Robotics and Autonomous Systems, 61(12), 1476–1486. https://doi.org/10.1016/j.robot.2013.07.007
  • Dorosh, R., Allen, J., He, Z., Ninatanta, C., Coleman, J., Spieker, J., Tuck, E., Kurtz, J., Zhang, Q., Whiting, M. D., Luo, J., Karkee, M., & Luo, M. (2023). Design, modeling, and control of a low-cost and rapid response soft-growing manipulator for orchard operations [Paper presentation].IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI.
  • Dzedzickis, A., Subačiūtė-Žemaitienė, J., Šutinys, E., Samukaitė-Bubnienė, U., & Bučinskas, V. (2021). Advanced applications of industrial robotics: New trends and possibilities. Applied Sciences, 12(1), 135. https://doi.org/10.3390/app12010135
  • Felknor, S. A., Vietas, J. A., & Streit, J. M. K. (2022). Impact of new technologies on occupational health and well-being. International Journal of Environmental Research and Public Health, Retrieved from https://www.mdpi.com/journal/ijerph/special_issues/_impact_of_new_technologies_on_occupational_health
  • Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerization? Technological Forecasting and Social Change, 114, 254–280. https://doi.org/10.1016/j.techfore.2016.08.019
  • Görke, M., Blankemeyer, S., Pischke, D., Oubari, A., Raatz, A., & Nyhuis, P. (2017). Sichere und akzeptierte Kollaboration von Mensch und Maschine. Zeitschrift Für Wirtschaftlichen Fabrikbetrieb, 112(1-2), 41–45. https://doi.org/10.3139/104.111668
  • Halpern, D., & Katz, J. E. (2012). Unveiling robotophobia and cyber-dystopianism: The role of gender, technology and religion on attitudes towards robots. In H. Yanco (Ed.), Proceedings of the Seventh Annual ACMIEEE International Conference on Human-Robot Interaction (pp. 139–140). ACM.
  • Heerink, M., Kröse, B., Evers, V., & Wielinga, B. (2010). Assessing acceptance of assistive social agent technology by older adults: The Almere model. International Journal of Social Robotics, 2(4), 361–375. https://doi.org/10.1007/s12369-010-0068-5
  • Jørgensen, J., Bojesen, K. B., & Jochum, E. (2022). Is a soft robot more “natural”? Exploring the perception of soft robotics in human–robot interaction. International Journal of Social Robotics, 14(1), 95–113. https://doi.org/10.1007/s12369-021-00761-1
  • Kahn, P. H., Jr, Ishiguro, H., Friedman, B., Kanda, T., Freier, N. G., Severson, R. L., & Miller, J. (2007). What is a human? Toward psychological benchmarks in the field of human–robot. Interaction Studies: Social Behaviour and Communication in Biological and Artificial Systems, 8(3), 363–390. https://doi.org/10.1075/is.8.3.04kah
  • Kim, J., Christodoulidou, N., & Brewer, P. (2012). Impact of individual difference and consumers’ readiness on likelihood of using self-service technologies at hospitality settings. Journal of Hospitality & Tourism Research, 36(1), 85–114. https://doi.org/10.1177/1096348011407311
  • Kim, Y., & Mutlu, B. (2014). How social distance shapes human–robot interaction. International Journal of Human-Computer Studies, 72(12), 783–795. https://doi.org/10.1016/j.ijhcs.2014.05.005
  • Koppenborg, M., Nickel, P., Naber, B., Lungfiel, A., & Huelke, M. (2017). Effects of movement speed and predictability in human–robot collaboration. Human Factors and Ergonomics in Manufacturing & Service Industries, 27(4), 197–209. https://doi.org/10.1002/hfm.20703
  • Kulic, D., & Croft, E. (2005). Anxiety detection during human-robot interaction [Paper presentation].2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, August. In (pp. 616–621). IEEE. https://doi.org/10.1109/IROS.2005.1545012
  • Lasi, H., Fettke, P., Kemper, H. G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engineering, 6(4), 239–242. https://doi.org/10.1007/s12599-014-0334-4
  • Lee, H. J., Probst, T. M., Bazzoli, A., & Lee, S. (2022). Technology advancements and employees’ qualitative job insecurity in the Republic of Korea: Does training help? employer-provided vs. self-paid training. International Journal of Environmental Research and Public Health, 19(21), 14368. https://doi.org/10.3390/ijerph192114368
  • Linden, D. V. D., Keijsers, G. P., Eling, P., & Schaijk, R. V. (2005). Work stress and attentional difficulties: An initial study on burnout and cognitive failures. Work & Stress, 19(1), 23–36. https://doi.org/10.1080/02678370500065275
  • Luong, J., Glick, P., Ong, A., DeVries, M. S., Sandin, S., Hawkes, E. W., & Tolley, M. T. (2019, April). Eversion and retraction of a soft robot towards the exploration of coral reefs [Paper presentation].2019 2nd IEEE International Conference on Soft Robotics (RoboSoft), In (pp. 801–807). IEEE. https://doi.org/10.1109/ROBOSOFT.2019.8722730
  • MacArthur, K. R., Stowers, K., & Hancock, P. A. (2017). Human-robot interaction: Proximity and speed—slowly back away from the robot. ! In Advances in Human Factors in Robots and Unmanned Systems: Proceedings of the AHFE 2016 International Conference on Human Factors in Robots and Unmanned Systems, July 27–31, 2016 (pp. 365–374). Springer International Publishing.
  • McClure, P. K. (2018). “You’re fired,” says the robot. Social Science Computer Review, 36(2), 139–156. https://doi.org/10.1177/0894439317698637
  • Mordor Intelligence. (2021). Soft robotics market - Growth, trends, COVID-19 impact, and forecasts (2021–2026). Retrieved from https://www.reportlinker.com/p06155634/Soft-Robotics-Market-Growth-Trends-COVID-19-Impact-and-Forecasts.html
  • Müller-Abdelrazeq, S. L., Schönefeld, K., Haberstroh, M., & Hees, F. (2019). Interacting with collaborative robots—A study on attitudes and acceptance in industrial contexts. In: O. Korn (Eds) Social robots: Technological, societal and ethical aspects of human-robot interaction. Human–Computer Interaction Series. Springer. https://doi.org/10.1007/978-3-030-17107-0_6
  • Neal, A., Griffin, M. A., & Hart, P. M. (2000). The impact of organizational climate on safety climate and individual behavior. Safety Science, 34(1-3), 99–109. https://doi.org/10.1016/S0925-7535(00)00008-4
  • Negrello, F., Mghames, S., Grioli, G., Garabini, M., & Catalano, M. G. (2019). A compact soft articulated parallel wrist for grasping in narrow spaces. IEEE Robotics and Automation Letters, 4(4), 3161–3168. https://doi.org/10.1109/LRA.2019.2925304
  • Nomura, T., Suzuki, T., Kanda, T., & Kato, K. (2006). Measurement of negative attitudes toward robots. Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systems, 7(3), 437–454. https://doi.org/10.1075/is.7.3.14nom
  • Nomura, T., Suzuki, T., Kanda, T., Yamada, S., & Kato, K. (2011). Attitudes toward robots and factors influencing them. In K. Dautenhahn & J. Saunders (Eds.), Advances in interaction studies. New frontiers in human–robot interaction (Vol. 2, pp. 73–88). John Benjamins Publishing Company.
  • Pérez, L., Rodríguez-Jiménez, S., Rodríguez, N., Usamentiaga, R., García, D. F., & Wang, L. (2020). Symbiotic human–robot collaborative approach for increased productivity and enhanced safety in the aerospace manufacturing industry. The International Journal of Advanced Manufacturing Technology, 106(3-4), 851–863. https://doi.org/10.1007/s00170-019-04638-6
  • Petitta, L., Probst, T. M., Ghezzi, V., & Barbaranelli, C. (2019). Cognitive failures in response to emotional contagion: Their effects on workplace accidents. Accident; Analysis and Prevention, 125, 165–173. https://doi.org/10.1016/j.aap.2019.01.018
  • Reeves, B., Hancock, J., & Liu, X. (2020). Social robots are like real people: First impressions, attributes, and stereotyping of social robots. Technology, Mind, and Behavior, 1(1), 1–13. https://doi.org/10.1037/tmb0000018
  • Rus, D., & Tolley, M. T. (2015). Design, fabrication and control of soft robots. Nature, 521(7553), 467–475. https://doi.org/10.1038/nature14543
  • Schaefer, K. E. (2016). Measuring trust in human robot interactions: Development of the “trust perception scale-HRI”. In R. Mittu, D. Sofge, A. Wagner, & W. F. Lawless. (Eds.), Robust Intelligence and Trust in Autonomous Systems (pp. 191–218). Springer.
  • Schmidtler, J., Knott, V., Hölzel, C., Bengler, K., Schlick, C. M., & Bützler, J. (2015). Human-centered assistance applications for the working environment of the future. Occupational Ergonomics, 12(3), 83–95. https://doi.org/10.3233/OER-150226
  • Spector, P. E., & Brannick, M. T. (2011). Methodological urban legends: The misuse of statistical control variables. Organizational Research Methods, 14(2), 287–305. https://doi.org/10.1177/1094428110369842
  • Stark, J., Mota, R. R., & Sharlin, E. (2018, March). Personal space intrusion in human-robot collaboration [Paper presentation].Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (pp. 245–246). https://doi.org/10.1145/3173386.3176998
  • Story, M., Webb, P., Fletcher, S. R., Tang, G., Jaksic, C., & Carberry, J. (2022). Do speed and proximity affect human-robot collaboration with an industrial robot arm? International Journal of Social Robotics, 14(4), 1087–1102. https://doi.org/10.1007/s12369-021-00853-y
  • Stroppa, F., Selvaggio, M., Agharese, N., Blumenschein, L. H., Hawkes, E. W., & Okamura, A. M. (2021). Shared-control teleoperation paradigms on a soft growing robot manipulator. arXiv preprint arXiv:2108.00677
  • Weiss, A., Bernhaupt, R., Tscheligi, M., & Yoshida, E. (2009). Addressing user experience and societal impact in a user study with a humanoid robot [Paper presentation]. In Proceedings of the Symposium on New Frontiers in Human-Robot Interaction (pp. 150–157). Edinburgh, Scotland.
  • Wong, D. H., Yap, K. B., Turner, B., & Rexha, N. (2011). Predicting the diffusion pattern of internet-based communication applications using bass model parameter estimates for email. Journal of Internet Business, 9, 26–50.
  • Xing, Z., Zhang, J., McCoul, D., Cui, Y., Sun, L., & Zhao, J. (2020). A super-lightweight and soft manipulator driven by dielectric elastomers. Soft Robotics, 7(4), 512–520. https://doi.org/10.1089/soro.2018.0134
  • Yam, K. C., Tang, P. M., Jackson, J. C., Su, R., & Gray, K. (2023). The rise of robots increases job insecurity and maladaptive workplace behaviors: Multimethod evidence. The Journal of Applied Psychology, 108(5), 850–870. https://doi.org/10.1037/apl0001045
  • Złotowski, J., Proudfoot, D., Yogeeswaran, K., & Bartneck, C. (2015). Anthropomorphism: Opportunities and challenges in human–robot interaction. International Journal of Social Robotics, 7(3), 347–360. https://doi.org/10.1007/s12369-014-0267-6

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.