journal article·2025-02-05Open access

Industry 5.0: Are We Going to Accept Robots as Co-Workers in Office Environments? An Empirical Analysis

Gozde Doven, Bulent Sezen, Kadir Demir, Yavuz Balcioglu

Applied Sciences· Volume 15· Issue 3

Abstract

This research aims to assess the readiness of professionals working in offices to accept robots as co-workers, and to provide insight for robot developers and organizations in promoting robot acceptance. This study investigates the acceptance of robots in office environments using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, extended with a specific focus on perceived sociability. A two-country comparative approach was employed. The research involved participants from the United Kingdom and Turkey to explore differences on robot acceptance. Data were collected via a structured questionnaire with demographics, robot usage or intention to use, and robot appearance preferences, targeting working professionals in office environments. The findings highlight key factors influencing behavioral intentions to use robots, including performance expectancy, effort expectancy, social influence, and perceived sociability. Our research results indicate that robots will likely to be accepted in our future office work environments. The results provide actionable insights for designing socially interactive robots and utilizing them in diverse workplace environments. Future research directions include expanding the cultural scope and utilizing qualitative methods for the additional investigation of factors that may enhance our understanding of robot acceptance.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Digital Economy and Work Transformation · Advanced Manufacturing and Logistics Optimization · AI in Service Interactions

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Business Administration, Gebze Technical University, 41400 Kocaeli, Turkey

Department of Computer Science, Texas A&M University-Corpus Christi, Corpus Christi, TX 78412, USA

Department of Management Information Systems, Dogus University, 34775 Istanbul, Turkey

References (71)

Show source-provided references
1. Industry 5.0: A survey on enabling technologies and potential applications
2. European Commission (2024, November 17). Industry 5.0. Available online: https://research-and-innovation.ec.europa.eu/research-area/industrial-research-and-innovation/industry-50_en.
3. Industry 5.0 and human-robot co-working10.1016/j.procs.2019.09.104 ↗
4. Demir, K.A. (2019). Human-Robot Co-Working and Roboethics. [Master’s Thesis, Gebze Technical University]. Available online: https://scholar.google.com.sg/citations?view_op=view_citation&hl=en&user=Sop65jwAAAAJ&pagesize=80&citation_for_view=Sop65jwAAAAJ:NhqRSupF_l8C.
5. Industry 4.0 and Industry 5.0—Inception, conception and perception10.1016/j.jmsy.2021.10.006 ↗
6. The new frontier in communication research: Why we should study social robots10.17645/mac.v6i3.1596 ↗
7. Exploring factors influencing the acceptance of social robots among early adopters and mass market representatives10.1016/j.robot.2022.104033 ↗
8. An Exploratory Study of Home Healthcare Robots Adoption Applying the UTAUT Model10.4018/ijhisi.2014100104 ↗
9. The determinants of home healthcare robots adoption: An empirical investigation10.1016/j.ijmedinf.2014.07.003 ↗
10. Acceptance of Social Robots by Aging Users: Towards a Pleasure-Oriented View10.1007/978-3-319-92141-9_30 ↗
11. Factors of healthcare robot adoption by medical staff in Thai government hospitals10.1007/s12553-020-00489-4 ↗
12. Exploring home health-care robots adoption in Malaysia: Extending the UTAUT model10.1108/IJPHM-11-2020-0099 ↗
13. The acceptance of the potential use of social robots for children with autism spectrum disorder by Indonesian occupational therapists: A mixed methods study10.1080/17483107.2024.2378946 ↗
14. Zhang, L. (2024). Breaking Barriers: A Dual-Factor Model Unraveling Ageism in Socially Assistive Robot Adoption among Older Chinese Adults. Int. J. Hum.–Comput. Interact., 1–17.10.1080/10447318.2024.2314352 ↗
15. Humanoid robots in higher education: Evaluating the acceptance of Pepper in the context of an academic writing course using the UTAUT10.1111/bjet.13006 ↗
16. The fast-food employees’ usage intention of robots: A cross-cultural study
17. Indian customers’ acceptance of service robots in restaurant services10.1080/0144929X.2022.2103734 ↗
18. What Will the Delivery Robots Bring Us Tomorrow?10.1111/ijcs.13093 ↗
19. On the Role of Beliefs and Trust for the Intention to Use Service Robots: An Integrated Trustworthiness Beliefs Model for Robot Acceptance10.1007/s12369-022-00952-4 ↗
20. Can a humanoid robot continue to draw attention in an office environment?10.1080/01691864.2020.1769724 ↗
21. Human-Robot Collaboration for Healthcare: A Narrative Review
22. Smart education framework10.1186/s40561-021-00170-x ↗
23. OECD (2021). OECD Digital Education Outlook 2021: Pushing the Frontiers with Artificial Intelligence, Blockchain and Robots. OECD Digital Education Outlook, OECD.10.1787/589b283f-en ↗
24. Contrastive learning based facial action unit detection in children with hearing impairment for a socially assistive robot platform10.1016/j.imavis.2022.104572 ↗
25. Sign Recognition System for an Assistive Robot Sign Tutor for Children10.1007/s12369-019-00609-9 ↗
26. Brave new world: Service robots in the frontline10.1108/JOSM-04-2018-0119 ↗
27. Kim, Y. (2023). Examining the Impact of Frontline Service Robots Service Competence on Hotel Frontline Employees from a Collaboration Perspective. Sustainability, 15.10.3390/su15097563 ↗
28. Cippelletti, E., Fournier, É., Jeoffrion, C., and Landry, A. (2024). Assessing Cobot’s Acceptability of French Workers: Proposition of a Model Integrating the TAM3, the ELSI and the Meaning of Work Scales. Int. J. Hum.–Comput. Interact., 1–13.10.1080/10447318.2024.2384832 ↗
29. Exploring the influence of service employees’ characteristics on their willingness to work with service robots10.1108/JOSM-05-2022-0174 ↗
30. Research on the acceptance of collaborative robots for the industry 5.0 era—The mediating effect of perceived competence and the moderating effect of robot use self-efficacy10.1016/j.ergon.2023.103455 ↗
31. User Acceptance of Information Technology: Toward a Unified View10.2307/30036540 ↗
32. Assessing Acceptance of Assistive Social Agent Technology by Older Adults: The Almere Model10.1007/s12369-010-0068-5 ↗
33. Robots in Education and Care of Children with Developmental Disabilities: A Study on Acceptance by Experienced and Future Professionals10.1007/s12369-016-0359-6 ↗
34. Han, J., and Conti, D. (2020). The Use of UTAUT and Post Acceptance Models to Investigate the Attitude towards a Telepresence Robot in an Educational Setting. Robotics, 9.10.3390/robotics9020034 ↗
35. Adoption and use of AI tools: A research agenda grounded in UTAUT10.1007/s10479-020-03918-9 ↗
36. Unified Theory of Acceptance and Use of Technology: U.S. Vs. China
37. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology10.2307/249008 ↗
38. User Acceptance of Computer Technology: A Comparison of Two Theoretical Models10.1287/mnsc.35.8.982 ↗
39. Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation10.1287/isre.2.3.192 ↗
40. Computer Self-Efficacy: Development of a Measure and Initial Test10.2307/249688 ↗
41. Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study10.2307/249749 ↗
42. Oshlyansky, L., Cairns, P., and Thimbleby, H. (2007, January 3–7). Validating the Unified Theory of Acceptance and Use of Technology (UTAUT) tool cross-culturally. Proceedings of the HCI 2007 the 21st British HCI Group Annual Conference University of Lancaster, Lancaster, UK.10.14236/ewic/HCI2007.67 ↗
43. A balanced thinking–feelings model of information systems continuance10.1016/j.ijhcs.2006.11.009 ↗
44. Perceptions of Assistive Robots at Work: An Experimental Approach to Social Influence10.1007/s12369-023-01046-5 ↗
45. The Theory of planned behavior10.1016/0749-5978(91)90020-T ↗
46. Fishbein, M., and Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Addison-Wesley.
47. Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior10.1287/isre.2.3.173 ↗
48. Understanding information technology usage: A test of competing models10.1287/isre.6.2.144 ↗
49. Assessing IT usage: The role of prior experience10.2307/249633 ↗
50. Personal Computing: Toward a Conceptual Model of Utilization10.2307/249443 ↗
51. You, robot: On the linguistic construction of artificial others10.1007/s00146-010-0289-z ↗
52. Exploring influencing variables for the acceptance of social robots10.1016/j.robot.2013.07.007 ↗
53. Heerink, M., Kröse, B., Evers, V., and Wielinga, B. (2008). The influence of social presence on acceptance of a companion robot by older people. Int. J. Comput. Vis., Available online: https://api.semanticscholar.org/CorpusID:34420104.10.14198/JoPha.2008.2.2.05 ↗
54. The Method of Path Coefficients10.1214/aoms/1177732676 ↗
55. Kline, R.B. (1998). Principles and Practice of Structural Equation Modeling. Methodology in the Social Sciences, Guilford Publications.
56. The maximum likelihood alignment approach to testing for approximate measurement invariance: A paradigmatic cross-cultural application10.7334/psicothema2017.178 ↗
57. AKINROBOTICS (2024, November 30). Social Robot ADA7. Available online: https://www.akinrobotics.com/en/social-robot-ada-7.
58. Hegel, F., Lohse, M., and Wrede, B. (October, January 27). Effects of visual appearance on the attribution of applications in social robotics. Proceedings of the 18th IEEE International Symposium on Robot and Human Interactive Communication, Toyama, Japan.
59. Destephe, M., Brandao, M., Kishi, T., Zecca, M., Hashimoto, K., and Takanishi, A. (2015). Walking in the uncanny valley: Importance of the attractiveness on the acceptance of a robot as a working partner. Front. Psychol., 6.10.3389/fpsyg.2015.00204 ↗
60. Consumers acceptance of artificially intelligent (AI) device use in service delivery10.1016/j.ijinfomgt.2019.03.008 ↗
61. Anthropomorphized Helpers Undermine Autonomy and Enjoyment in Computer Games10.1093/jcr/ucw016 ↗
62. Bukimi no tani [The uncanny valley]
63. Murphy, J., Gretzel, U., and Hofacker, C. (June, January 31). Service robots in hospitality and tourism: Investigating anthropomorphism. Proceedings of the 15th APacCHRIE Conference, Bali, Indonesia.
64. An index of factorial simplicity10.1007/BF02291575 ↗
65. Hair, J.F., Black, W.C., Babin, B.J., and Anderson, R.E. (2019). Multivariate Data Analysis, Cengage.
66. PLS-SEM or CB-SEM: Updated guidelines on which method to use10.1504/IJMDA.2017.087624 ↗
67. Power Analysis in Covariance Structure Modeling Using GFI and AGFI10.1207/s15327906mbr3202_5 ↗
68. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives10.1080/10705519909540118 ↗
69. Paradigm changing metaverse: Future research directions in design, technology adoption and use, and impacts10.1016/j.dss.2024.114307 ↗
70. Higher education and the importance of values: Evidence from the World Values Survey10.1007/s10734-022-00896-8 ↗
71. Nahavandi, S. (2019). Industry 5.0—A Human-Centric Solution. Sustainability, 11.10.3390/su11164371 ↗