Ready or Not? Examining Acceptance and Fears of Robots in the Labor Market: A Survey of a Polish Sample

Konrad Maj; Kacper Sawicki; Karol Samson

doi:10.18290/rpsych2023.0019

Published : 2024-01-04

Vol. 26 No. 4 (2023)

Ready or Not? Examining Acceptance and Fears of Robots in the Labor Market: A Survey of a Polish Sample

Konrad Maj

https://orcid.org/0000-0002-9605-4251

Kacper Sawicki

https://orcid.org/0000-0002-4416-8214

Karol Samson

https://orcid.org/0000-0002-6686-7251

DOI: https://doi.org/10.18290/rpsych2023.0019

Abstract

The purpose of the study is to assess attitudes toward robots among a Polish sample (N = 1044) using a series of questions focused on their perceptions within the labor market. Based on previous research, higher concerns toward and lower acceptance of robots were predicted for women, people performing manual and manual work, and people who are not familiar with robotics. The hypotheses were only partially confirmed. Orientation in the field of robotics is conducive to greater acceptance of the presence of robots in trust works professions. Unexpectedly, it turned out that people who declared performing physical work, compared to people performing other types of tasks, have a more affirmative attitude to the participation of robots in customer service occupations and to accept the autonomy of the robot to a higher degree. The results also showed that women are more concerned about the increased presence of robots in the labour market and less accepting of the replacement of humans by robots and the greater autonomy of intelligent machines. In addition, the analysis revealed that people with more knowledge in the field of robotics declare greater acceptance of the autonomous work of robots and in terms of replacing people with robots in the work environment, they also have fewer concerns about the market situation compared to those who do not consider themselves knowledgeable in this area.

Keywords:

robots, robotization, social attitudes, education

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References

Andtfolk, M., Nyholm, L., Eide, H., Rauhala, A., & Fagerström, L. (2022). Attitudes toward the use of humanoid robots in healthcare—A cross-sectional study. AI & Society, 37(4), 1739–1748. https://doi.org/10.1007/s00146-021-01271-4

Asparouhov, T., & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling, 16, 397–438. https://doi.org/10.1080/10705510903008204

Belanche, D., Casaló, L. V., & Flavián, C. (2020). Customer’s acceptance of humanoid robots in services: The moderating role of risk aversion. Marketing and Smart Technologies. Smart Innovation, Systems and Technologies, 167, 449–458. https://doi.org/10.1007/978-981-15-1564-4_42

Carlsen, H., Johansson, L., Wikman-Svahn, P., & Dreborg, K. H. (2014). Co-evolutionary scenarios for creative prototyping of future robot systems for civil protection. Technological Forecasting and Social Change, 84, 93–100. https://doi.org/10.1016/j.techfore.2013.07.016

Carnevale, A. (2015). Robots, disability, and good human life. Disability Studies Quarterly, 35(1). https://doi.org/10.18061/dsq.v35i1.4604

Cave, S., Coughlan, K., & Dihal, K. (2019, January). “Scary robots”: examining public responses to AI. In Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society (pp. 331–337). Association for Computing Machinery. https://doi.org/10.1145/3306618.3314232

Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling, 14(3), 464–504. https://doi.org/10.1080/10705510701301834

Dekker, F., Salomons, A., & Waal, J. V. D. (2017). Fear of robots at work: The role of economic self-interest. Socio-Economic Review, 15(3), 539–562. https://doi.org/10.1093/ser/mwx005

Forgas-Coll, S., Huertas-Garcia, R., Andriella, A., & Alenyà, G. (2021). How do consumers’ gender and rational thinking affect the acceptance of entertainment social robots? International Journal of Social Robotics, 14(4), 973–994. https://doi.org/10.1007/s12369-021-00845-y

Fortunati, L. (2017). Robotization and the domestic sphere. New Media & Society, 20(8), 2673–2690. https://doi.org/10.1177/1461444817729366

Gherheș, V. (2018). Why are we afraid of artificial intelligence (AI)? European Review of Applied Sociology, 11, 6–15. https://doi.org/10.1515/eras-2018-0006

Giger, J. C., Moura, D., Almeida, N., & Piçarra, N. (2017). Attitudes towards social robots: The role of gender, belief in human nature uniqueness, religiousness and interest in science fiction. Proceedings of II International Congress on Interdisciplinarity in Social and Human Sciences, 11, 509.

Haring, K. S., Mougenot, C., Ono, F., & Watanabe, K. (2014). Cultural differences in perception and attitude towards robots. International Journal of Affective Engineering, 13(3), 149–157. https://doi.org/10.5057/ijae.13.149

Holley, P. (2019, November 26). Boston Dynamics’ ‘terrifying’ robotic dogs have been put to work by at least one police agency. The Washington Post. https://www.washingtonpost.com/technol`ogy/2019/11/26/boston-dynamics-terrifying-robotic-dogs-have-been-put-work-by-least-one-police-agency

Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30, 179–185. http://doi.org/10.1007/BF02289447

IFR presents World Robotics 2021 reports. IFR International Federation of Robotics, October 28, 2021. https://ifr.org/ifr-press-releases/news/robot-sales-rise-again

Ivanov, S., & Webster, C. (2019). What should robots do? A comparative analysis of industry professionals, educators and tourists. In Information and Communication Technologies in Tourism 2019 (pp. 249–262). Springer. https://doi.org/10.1007/978-3-030-05940-8_20

Katz, J. E., & Halpern, D. (2014). Attitudes towards robots suitability for various jobs as affected robot appearance. Behaviour and Information Technology, 33(9), 941–953. https://doi.org/10.1080/0144929X.2013.783115

Kim, S. W., & Lee, Y. (2016). The effect of robot programming education on attitudes towards robots. Indian Journal of Science and Technology, 9(24), 1–11.

Kossewska, J., & Kłosowska, J. (2020). Acceptance of robot‐mediated teaching and therapy for children with atypical development by Polish professionals. Journal of Policy and Practice in Intellectual Disabilities, 17(1), 21–30. https://doi.org/10.1111/jppi.12296

Królikowska, S. (2011). Rola stereotypów płci w kształtowaniu postaw kobiet i mężczyzn wobec zdrowia [The role of gender stereotypes in forming men and women’s health attitudes]. Nowiny Lekarskie, 80(5), 387–393.

Kucuk, S., & Sisman, B. (2020). Students’ attitudes towards robotics and STEM: Differences based on gender and robotics experience. International Journal of Child-Computer Interaction, 23–24, Article 100167. https://doi.org/10.1016/j.ijcci.2020.100167

Küster, D., Swiderska, A., & Gunkel, D. (2021). I saw it on YouTube! How online videos shape perceptions of mind, morality, and fears about robots. New Media & Society, 23(11), 3312–3331. https://doi.org/10.1177/1461444820954199

Lai, C. J., & Tang, H. K. (2019, August). Investigation of human-service robot division and interaction for catering services. Proceedings of the 2019 2nd International Conference on Robot Systems and Applications, 35–39. https://doi.org/10.1145/3378891.3378898

Lee, J., Lee, D., & Lee, J. G. (2022). Can robots help working parents with childcare? Optimizing childcare functions for different parenting characteristics. International Journal of Social Robotics, 14(1), 193–211. https://doi.org/10.1007/s12369-021-00784-8

Lemay, D. J., Basnet, R. B., & Doleck, T. (2020). Fearing the robot apocalypse: Correlates of AI anxiety. International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI), 2(2), 24–33. https://doi.org/10.3991/ijai.v2i2.16759

Liang, Y., & Lee, S. A. (2017). Fear of autonomous robots and artificial intelligence: Evidence from national representative data with probability sampling. International Journal of Social Robotics, 9(3), 379–384. https://doi.org/10.1007/s12369-017-0401-3

Lin, C., Šabanović, S., Dombrowski, L., Miller, A. D., Brady, E., & MacDorman, K. F. (2021). Parental acceptance of children’s storytelling robots: A projection of the uncanny valley of AI. Frontiers in Robotics and AI, 8. https://doi.org/10.3389/frobt.2021.579993

Łupkowski, P., & Jański-Mały, F. (2020). The more you see me the more you like me: Influencing the negative attitudes towards interactions with robots. Journal of Automation, Mobile Robotics Intelligent Systems, 14(3), 10–17. https://doi.org/10.14313/JAMRIS/3-2020/27

Maj, K., & Zarzycki, P. (2019). Meeting with social robots like the cat-cucumber meeting? An integrated model of human-robot first contact. Psychological perspective. Paladyn, Journal of Behavioral Robotics, 10(1), 454–465. https://doi.org/10.1515/pjbr-2019-0026

Mammes, I. (2004). Promoting girls’ interest in technology through technology education: A research study. International Journal of Technology and Design Education, 14(2), 89–100.

Marsh, H. W., Morin, A. J. S., Parker, P. D., & Kaur, G. (2014). Exploratory structural equation modeling: An integration of the best features of exploratory and conﬁrmatory factor analysis. Annual Review of Clinical Psychology, 10, 85–110. https://doi.org/10.1146/annurev-clinpsy-032813-153700

McClure, P. K. (2018). “You’re fired,” says the robot: The rise of automation in the workplace, technophobes, and fears of unemployment. Social Science Computer Review, 36(2), 139–156. https://doi.org/10.1177/0894439317698637

Meissner, A., Trübswetter, A., Conti-Kufner, A. S., & Schmidtler, J. (2020). Friend or foe? Understanding assembly workers’ acceptance of human-robot collaboration. ACM Transactions on Human-Robot Interaction (THRI), 10(1), 1–30. https://doi.org/10.1145/3399433

Meredith, W. (1993). Measurement invariance, factor analysis and factorial invariance. Psychometrika, 58, 525–543. https://doi.org/10.1007/BF02294825

Morikawa, M. (2017, May). Who are afraid of losing their jobs to artificial intelligence and robots? Evidence from a survey. RIETI Discussion Paper, 71. Retrieved December 22, 2022, from https://www.rieti.go.jp/jp/publications/dp/17e069.pdf

Muthén, L., & Muthén, B. (2012). Mplus user’s guide (7th ed.). Muthén & Muthén.

Niemelä, M., & Melkas, H. (2019). Robots as social and physical assistants in elderly care. In M. Toivonen & E. Saari (Eds.), Human-Centered Digitization and Services (pp. 177–197). https://doi.org/10.1007/978-981-13-7725-9_10

Nomura, T. (2014). Influences of experiences of robots into negative attitudes toward robots. In The 23rd IEEE International Symposium on Robot and Human Interactive Communication (pp. 460–464). IEEE. https://doi.org/10.1109/ROMAN.2014.6926295

Nomura, T., Kanda, T., Suzuki, T., & Yamada, S. (2020). Do people with social anxiety feel anxious about interacting with a robot? AI & Society, 35(2), 381–390. https://doi.org/10.1007/s00146-019-00889-9

Oh, C., Lee, T., Kim, Y., Park, S., Kwon, S., & Suh, B. (2017). Us vs. them: Understanding artificial intelligence technophobia over the Google DeepMind challenge match. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2523–2534. https://doi.org/10.1145/3025453.3025539

Papadakis, S., Vaiopoulou, J., Sifaki, E., Stamovlasis, D., & Kalogiannakis, M. (2021). Attitudes towards the use of educational robotics: Exploring pre-service and in-service early childhood teacher profiles. Education Sciences, 11(5), 204. https://doi.org/10.3390/educsci11050204

Pham, Q. C., Madhavan, R., Righetti, L., Smart, & W., Chatila, R. (2018). The impact of robotics and automation on working conditions and employment [Ethical, Legal, and Societal Issues]. IEEE Robotics & Automation Magazine, 25(2), 126–128. https://doi.org/10.1109/MRA.2018.2822058

Piçarra, N. J. G. (2014). Predicting intention to work with social robots. [Unpublished doctoral dissertation]. Universidade do Algarve. Retrieved March 12, 2022, from https://core.ac.uk/download/pdf/216328753.pdf

Piçarra, N., Giger, J. C., Pochwatko, G., & Gonçalves, G. (2016a). Making sense of social robots: A structural analysis of the layperson’s social representation of robots. European Review of Applied Psychology, 66(6), 277–289. https://doi.org/10.1016/j.erap.2016.07.001

Piçarra, N., Giger, J.C., Pochwatko, G., & Możaryn, J. (2016b). Designing social robots for interaction at work: Socio-cognitive factors underlying intention to work with social robots. Journal of Automation Mobile Robotics and Intelligent Systems, 10(4), 17–26. https://doi.org/10.14313/JAMRIS_4-2016/28

Pochwatko, G., Giger, J. Ch., Różańska-Walczuk, M., Świdrak, J., Kukiełka, K., Możaryn, J., & Piçarra, N. (2015). Polish version of the negative attitude toward robots scale (NARS-PL). Journal of Automation Mobile Robotics and Intelligent Systems, 9(3), 65–72. https://doi.org/10.14313/JAMRIS_3-2015/25

R Core Team (2022). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org

Reich-Stiebert, N., & Eyssel, F. (2015). Learning with educational companion robots? Toward attitudes on education robots, predictors of attitudes, and application potentials for education robots. International Journal of Social Robotics, 7(5), 875–888. https://doi.org/10.1007/s12369-015-0308-9

Reich-Stiebert, N., Eyssel, F., & Hohnemann, C. (2019). Involve the user! Changing attitudes toward robots by user participation in a robot prototyping process. Computers in Human Behavior, 91, 290–296. https://doi.org/10.1016/j.chb.2018.09.041

Revelle, W. (2022). psych: Procedures for Psychological, Psychometric, and Personality Research. Northwestern University, Evanston, Illinois. R package version 2.2.9. Retrieved December 22, 2022, from https://CRAN.R-project.org/package=psych

Robinson, H., Macdonald, B., & Broadbent, E. (2014). The role of healthcare robots for older people at home: A review. International Journal of Social Robotics, 6, 575–591. https://doi.org/10.1007/s12369-014-0242-2

Sanders, T. L., MacArthur, K., Volante, W., Hancock, G., MacGillivray, T., Shugars, W., & Hancock, P. A. (2017). Trust and prior experience in human-robot interaction. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 61, 1809–1813. https://doi.org/10.1177/1541931213601934

Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the ﬁt of structural equation models: Tests of signiﬁcance and descriptive goodness-of-ﬁt measures. Methods of Psychological Research Online, 8, 23–74.

Serholt, S., & Barendregt, W. (2014). Students’ attitudes towards the possible future of social robots in education. Workshop proceedings of RO-MAN.

Shell, D. A., & Matarić, M. J. (2005). Insights toward robot-assisted evacuation. Advanced Robotics, 19(8), 797–818. https://doi.org/10.1163/1568553055011483

Stafford, R. Q., Broadbent, E., Jayawardena, C., Unger, U., Kuo, I. H., Igic, A., Wong, R., Kerse, N., Watson, C., & MacDonald, B. A. (2010). Improved robot attitudes and emotions at a retirement home after meeting a robot. In 19th International Symposium in Robot and Human Interactive Communication (pp. 82–87). https://doi.org/10.1109/roman.2010.5598679

Suwada, K. (2021). Parenting and work in Poland. A gender studies perspective. Springer. https://doi.org/978-3-030-66303-2

Turja, T., Van Aerschot, L., Särkikoski, T., & Oksanen, A. (2018). Finnish healthcare professionals’ attitudes towards robots: Reflections on a population sample. Nursing Open, 5(3), 300–309. http://doi.org/10.1002/nop2.138

Turja, T. (2019). Accepting robots as assistants: A social, personal, and principled matter. [Doctoral dissertation, Tampere University]. Trepo. Retrieved April 16, 2022, from https://trepo.tuni.fi/handle/10024/118030

Vallès-Peris, N., Barat-Auleda, O., & Domènech, M. (2021). Robots in healthcare? What patients say. International Journal of Environmental Research and Public Health, 18(18), Article 9933. https://doi.org/10.3390/ijerph18189933

Vollmer, A. L. (2018). Fears of intelligent robots. In Companion of the 2018 ACM/IEEE International conference on human-robot interaction (pp. 273–274). Association for Computing Machinery. https://doi.org/10.1145/3173386.3177067

Voth, D. (2004). A new generation of military robots. IEEE Xplore. Retrieved May 20, 2022, from https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1333028

Wasielewska, A., & Łupkowski, P. (2020). Know your three laws. Evaluation study of the cooperative board game THREE. Unpublished manuscript.

Watty, K., McKay, J., & Ngo, L. (2016). Innovators or inhibitors? Accounting faculty resistance to new educational technologies in higher education. Journal of Accounting Education, 36, 1–15.