A robotizáció térnyerésével kapcsolatos attitűdök Magyarországon

Authors

DOI:

https://doi.org/10.14267/VEZTUD.2022.08-09.01

Keywords:

human-robot interaction, robot workforce, attitude, attitude study, European Value Survey, future of work, cluster analysis

Abstract

Technological advances are introducing human-robot collaboration to many areas, including the corporate environment. The nature of work and occupations will thus change fundamentally in the future. One of the prerequisites for successfully meeting these challenges is the acceptance of robots, which is influenced by, among other things, the attitudes of individuals. The literature review synthesises the results of theoretical articles focusing on the factors influencing the development of attitudes towards robots. The aim of this paper is to investigate the evolution of attitudes towards robotization in Hungary, using the latest European Value Survey (EVS) data collection, cluster analysis and ANOVA methods. The relevance of attitudinal research on the robot workforce is unquestionable and, to date, no similar research on a Hungarian sample has been conducted.

Downloads

Download data is not yet available.

Author Biographies

Csaba Kiss, Corvinus University of Budapest

Assistant professor

Vanda Harmat, Corvinus University of Budapest

Assistant Lecturer

Anda Milassin, Corvinus University of Budapest

Assistant Professor

References

Armitage, C. J., & Conner, M. (2004). The effects of attitudinal ambivalence on attitude-intention-behavior relations. In Geoffrey Haddock & Gregory R. Maio (Eds.), Contemporary Perspectives on the Psychology of Attitudes (pp. 121-143). Hove, New York: Psychology Press.

Arntz, M., Gregory, T., & Zierahn, U. (2016). The risk of automation for jobs in OECD countries: A comparative analysis. Working Paper No. 189. Paris, France: OECD Publishing https://doi.org/10.1787/1815199X

Bartneck, C., Nomura, T., Kanda, T., Suzuki, T., & Kennsuke, K. (2005). A cross-cultural study on attitudes towards robots. Las Vegas: Proceedings of the HCI International. https://doi.org/10.13140/RG.2.2.35929.11367

Bartneck, C., Suzuki, T., Kanda, T., & Nomura, T. (2007). The influence of people’s culture and prior experiences with Aibo on their attitude towards robots. Ai & Society, 21(1-2), 217-230. https://doi.org/10.1007/s00146-006-0052-7

Beedholm, K., Frederiksen, K., Frederiksen, A. M. S., & Lomborg, K. (2015). Attitudes to a robot bathtub in D anish elder care: A hermeneutic interview study. Nursing & Health Sciences, 17(3), 280-286. https://doi.org/10.1111/nhs.12184

Belanche, D., Casaló, L. V., Flavián, C., & Schepers, J. (2020). Service robot implementation: a theoretical framework and research agenda. The Service Industries Journal, 40(3-4), 203-225. https://doi.org/10.1080/02642069.2019.1672666

Beno, M. (2019). Robot Rights in the Era of Robolution and the Acceptance of Robots from the Slovak Citizen’s Perspective. In 2019 IEEE International Symposium on Robotic and Sensors Environments (ROSE) (pp. 1-7). IEEE. https://doi.org/10.1109/ROSE.2019.8790429

Berg, A., Buffie, E. F., & Zanna, L. F. (2018). Should we fear the robot revolution?(The correct answer is yes). Journal of Monetary Economics, 97, 117-148.

Bergmann, K., Eyssel, F., & Kopp, S. (2012). A second chance to make a first impression? How appearance and nonverbal behavior affect perceived warmth and competence of virtual agents over time. In International conference on intelligent virtual agents (pp. 126-138). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-642-33197-8_13

Breazeal, C. (2003). Toward sociable robots. Robotics and Autonomous Systems, 42(3-4), 167-175. https://doi.org/10.1016/S0921-8890(02)00373-1

Broadbent, E., Kuo, I. H., Lee, Y. I., Rabindran, J., Kerse, N., Stafford, R., & MacDonald, B. A. (2010). Attitudes and reactions to a healthcare robot. Telemedicine and e-Health, 16(5), 608-613. https://doi.org/10.1089/tmj.2009.0171

Broadbent, E., Tamagawa, R., Patience, A., Knock, B., Kerse, N., Day, K., & MacDonald, B. A. (2012). Attitudes towards health‐care robots in a retirement village. Australasian Journal on Ageing, 31(2), 115- 120. https://doi.org/10.1111/j.1741-6612.2011.00551.x.

Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. Boston, MA: WW Norton & Company.

Burke, J. L., Murphy, R. R., Rogers, E., Lumelsky, V. J., & Scholtz, J. (2004). Final report for the DARPA/ NSF interdisciplinary study on human-robot interaction. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 34(2), 103- 112. https://doi.org/10.1109/TSMCC.2004.826287

Chan, Y. H. (2003). Biostatistics 101: Data Presentation. Singapore Medical Journal, 44(6), 280-285. http:// www.smj.org.sg/sites/default/files/4406/4406bs1.pdf Chiang, A. H., & Trimi, S. (2020). Impacts of service robots on service quality. Service Business, 14(3), 439- 459. https://doi.org/10.1007/s11628-020-00423-8

Chui, M., Manyika, J., & Miremadi, M. (2015). Four fundamentals of workplace automation. McKinsey Quarterly, 29(3), 1-9. https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/four-fundamentals-of-workplace-automation

Conner, M., & Sparks, P. (2002). Ambivalence and attitudes. European Review of Social Psychology, 12(1), 37-70. https://doi.org/10.1080/14792772143000012

Dang, J., & Liu, L. (2021). Robots are friends as well as foes: Ambivalent attitudes toward mindful and mindless AI robots in the United States and China. Computers in Human Behavior, 115, 106612. https://doi.org/10.1016/j.chb.2020.106612

Darling, K., Nandy, P., & Breazeal, C. (2015). Empathic concern and the effect of stories in human-robot interaction. In 2015 24th IEEE international symposium on robot and human interactive communication (ROMAN) (pp. 770-775). IEEE. https://doi.org/10.1109/ROMAN.2015.7333675

Demeure, V., Niewiadomski, R., & Pelachaud, C. (2011). How is believability of a virtual agent related to warmth, competence, personification, and embodiment? Presence: Teleoperators and Virtual Environments, 20(5), 431-448. https://doi.org/10.1162/PRES_a_00065

EVS/WVS (2021). Joint EVS/WVS 2017-2021 Dataset (Joint EVS/WVS). GESIS Data Archive, Cologne. ZA7505 Data file Version 2.0.0. https://doi.org/10.4232/1.13737.

Field, A. (2005). Discovering Statistics using SPSS. London: SAGE Publications. Fong, T., Nourbakhsh, I., & Dautenhahn, K. (2003). A survey of socially interactive robots. Robotics and Autonomous Systems, 42(3-4), 143-166. https://doi.org/10.1016/S0921-8890(02)00372-X

Ford, M. (2015). The rise of the robots: Technology and the threat of mass unemployment. International Journal of HRD Practice Policy and Research, 1(1), 111-112. https://www.ijhrdppr.com/wp-content/uploads/2016/03/IJHRD-Vol-1-No-1-Final.pdf#page=111

Fraune, M. R., Šabanović, S., & Smith, E. R. (2017). Teammates first: Favoring ingroup robots over outgroup humans. In 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (ROMAN) (pp. 1432-1437). IEEE. https://doi.org/10.1109/ROMAN.2017.8172492

Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254-280. https://doi.org/10.1016/j.techfore.2016.08.019

Graetz, G., & Michaels, G. (2017). Is modern technology responsible for jobless recoveries? American Economic Review, 107(5), 168-173. https://doi.org/10.1257/aer.p20171100

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

Hegel, F., (2012). Effects of a Robot’s Aesthetic Design on the Attribution of Social Capabilities. In 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication (pp. 465-479). September 9-13, 2012. Paris, France. https://doi.org/10.1109/ROMAN.2012.6343796

Hinds, P. J., Roberts, T. L., & Jones, H. (2004). Whose job is it anyway? A study of human-robot interaction in a collaborative task. Human–Computer Interaction, 19(1-2), 151-181. https://doi.org/10.1207/s15327051hci1901&2_7

Hirschi, A. (2018). The fourth industrial revolution: Issues and implications for career research and practice. The career development quarterly, 66(3), 192-204. https://doi.org/10.1002/cdq.12142

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

Kazandzhieva, V., & Filipova, H. (2019). Customer attitudes toward robots in travel, tourism, and hospitality: a conceptual framework. In Robots, artificial intelligence, and service automation in travel, tourism and hospitality (pp. 79-92). Bingley: Emerald Publishing Limited. https://doi.org/10.1108/978-1-78756-687-320191004

Kohlmann, D. (2018). Forradalmak az attitűdkutatásban: A kognitív-kísérleti és társas konstruktivista kutatási programok összevetése. Magyar Pszichológiai Szemle, 73(2), 315-344. https://doi.org/10.1556/0016.2018.73.2.9

Louie, W. Y. G., McColl, D., & Nejat, G. (2014). Acceptance and attitudes toward a human-like socially assistive robot by older adults. Assistive Technology, 26(3), 140-150. https://doi.org/10.1080/10400435.2013.869703.

Manyika, J., Lund, S., Chui, M., Bughin, J., Woetzel, J., Batra, P., Ko, R., & Sanghvi, S. (2017). Jobs lost, jobs gained: Workforce transitions in a time of automation. San Francisco: McKinsey Global Institute. https://www.mckinsey.com/featured-insights/future-of-work/jobs-lost-jobs-gained-what-the-future-of-work-willmean-for-jobs-skills-and-wages

Moniz, A. B., & Krings, B. J. (2016). Robots working with humans or humans working with robots? Searching for social dimensions in new human-robot interaction in industry. Societies, 6(3), 23. https://doi.org/10.3390/soc6030023

Nam, T. (2019). Citizen attitudes about job replacement by robotic automation. Futures, 109, 39-49. https://doi.org/10.1016/J.FUTURES.2019.04.005

Niewiadomski, R., Demeure, V., & Pelachaud, C. (2010, September). Warmth, competence, believability and virtual agents. In International Conference on Intelligent Virtual Agents (pp. 272-285). Berlin, Heidelberg: Springer. https://doi.org/10.5555/1889075.1889109

Nomura, T., Kanda, T., Suzuki, T. & Kato, K. (2005). People’s Assumptions about Robots: Investigation of Their Relationships with Attitudes and Emotions toward Robots. In Proceedings of Robot and Human Interactive Communication, 2005. ROMAN 2005 (pp. 125-130). Nashville, TN: IEEE International Workshop. https://doi.org/10.1109/ROMAN.2005.1513768

Nomura, T., Kanda, T., & Suzuki, T. (2006). Experimental investigation into influence of negative attitudes toward robots on human–robot interaction. Ai & Society, 20(2), 138-150. https://doi.org/10.1007/s00146-005-0012-7

Nomura, T., Kanda, T., Suzuki, T., & Kato, K. (2008). Prediction of human behavior in human--robot interaction using psychological scales for anxiety and negative attitudes toward robots. IEEE Transactions on Robotics, 24(2), 442-451. https://doi.org/10.1109/TRO.2007.914004

Pigini, L., Facal, D., Blasi, L., & Andrich, R. (2012). Service robots in elderly care at home: Users’ needs and perceptions as a basis for concept development. Technology and Disability, 24(4), 303-311. https://doi.org/10.3233/TAD-120361

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

Robertson, J., (2018). Robo Sapiens Japanicus: Robots, Gender, Family, and The Japanese Nation. Oakland, CA: University of California Press.

Sajtos, L., & Mitev, A. (2007). SPSS kutatási és adatelemzési kézikönyv. Budapest: Alinea Kiadó.

Somers, M. J. (2009). The combined influence of affective, continuance and normative commitment on employee withdrawal. Journal of Vocational Behavior, 74(1), 75-81. https://doi.org/10.1016/j.jvb.2008.10.006

Syrdal, D. S., Dautenhahn, K., Koay, K. L., & Walters, M. L. (2009). The negative attitudes towards robots scale and reactions to robot behaviour in a live human-robot interaction study. Adaptive and Emergent Behaviour and Complex Systems. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.159.9791&rep=rep1&-type=pdf

Taddeo, M., & Floridi, L. (2018). How AI can be a force for good. Science, 361(6404), 751-752. https://doi.org/10.1126/science.aat5991

Takayama, L., Ju, W., & Nass, C. (2008). Beyond dirty, dangerous and dull: what everyday people think robots should do. In 2008 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI) (pp. 25-32). IEEE. https://doi.org/10.1145/1349822.1349827

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. https://doi.org/10.1002/nop2.138

Van Harreveld, F., Van der Pligt, J., & de Liver, Y. N. (2009). The agony of ambivalence and ways to resolve it: Introducing the MAID model. Personality and Social Psychology Review, 13(1), 45-61. https://doi.org/10.1177/1088868308324518

Varrasi, S., Di Nuovo, S., Conti, D., & Di Nuovo, A. (2018). A social robot for cognitive assessment. In Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (pp. 269-270). https://doi.org/10.1145/3173386.3176995

Wasti, S. A. (2005). Commitment klaszteres: Combinations of organizational commitment forms and job outcomes. Journal of Vocational Behavior, 67(2), 290- 308. https://doi.org/10.1016/j.jvb.2004.07.002

Waytz, A., Cacioppo, J., & Epley, N. (2010). Who sees human? The stability and importance of individual differences in anthropomorphism. Perspectives on Psychological Science, 5(3), 219-232. https://doi.org/10.1177/1745691610369336

Waytz, A., Heafner, J., & Epley, N. (2014). The mind in the machine: Anthropomorphism increases trust in an autonomous vehicle. Journal of Experimental Social Psychology, 52, 113-117. https://doi.org/10.1016/j.jesp.2014.01.005

Woods, S., Dautenhahn, K., Kaouri, C., te Boekhorst, R., Koay, K. L., & Walters, M. L. (2007). Are robots like people?: Relationships between participant and robot personality traits in human–robot interaction studies. Interaction Studies, 8(2), 281-305. https://doi.org/10.1075/is.8.2.06woo

Xu, Q., Ng, J. S., Tan, O. Y., & Huang, Z. (2015). Needs and attitudes of Singaporeans towards home service robots: a multi-generational perspective. Universal Access in the Information Society, 14(4), 477-486. https://doi.org/10.1007/s10209-014-0355-2

You, S., & Robert Jr, L. P. (2018). Human-robot similarity and willingness to work with a robotic co-worker. In Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (pp. 251-260). https://doi.org/10.1145/3171221.3171281

Downloads

Published

2022-09-13

How to Cite

Kiss, C., Harmat, V., & Milassin, A. . (2022). A robotizáció térnyerésével kapcsolatos attitűdök Magyarországon. Vezetéstudomány / Budapest Management Review, 53(8-9), 2–13. https://doi.org/10.14267/VEZTUD.2022.08-09.01

Issue

Section

Articles