Skip to main content

Study on the Impact of Service Robot Autonomy on Customer Satisfaction

  • Conference paper
  • First Online:
HCI in Business, Government and Organizations (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14039))

Included in the following conference series:

  • 1050 Accesses

Abstract

The rapid development of artificial intelligence technology has accelerated the promotion and application of service robot in the market. Although technology has provided service robot with increasingly autonomous functions, more research is needed on how service robot with different levels of autonomy affects customer satisfaction in service scenarios. Guided by the theory of affordance, this study examined whether service robot operational and decisional autonomy would have effects on customer satisfaction and explored explanatory mechanism. Adopting an experimental vignette method (EVM), the study reveals that direct effect of service robot operational autonomy and indirect effect of decisional autonomy on customer satisfaction, and functional affordance played a positive mediating role in the impact of service robot autonomy on customer satisfaction. The results extend and enrich the relevant literature on human-machine interaction and customer satisfaction research. Our results also provide marketing insights for enterprises to improve autonomous robot design and enhance customer relationships.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Allied Analytics.: Hospitality robots market by type and end user sales channel: global opportunity analysis and industry. Forecast 2021–2030 (2021)

    Google Scholar 

  • Baber, C.: Humans, servants and agents: human factors of intelligent domestic products. In: IEE Colloquium on Artificial Intelligence in Consumer and Domestic Products (IEE), vol. 4, pp. 1–3 (1996)

    Google Scholar 

  • Benlian, A., Klumpe, J., Hinz, O.: Mitigating the intrusive effects of smart home assistants by using anthropomorphic design features: a multimethod investigation. Inf. Syst. J. 30, 1010–1042 (2020)

    Article  Google Scholar 

  • Calverley, D.J.: Android science and animal rights, does an analogy exist. Connect. Sci. 18(4), 403–417 (2006)

    Article  Google Scholar 

  • Castelo, N., Bos, M.W., Lehmann, D.R.: Task-dependent algorithm aversion. J. Mark. Res. 56(5), 809–825 (2019)

    Article  Google Scholar 

  • Chi, O., Denton, G., Gursoy, D.: Artificially intelligent device use in service delivery: a systematic review, synthesis, and research agenda. J. Hosp. Market. Manag. 29(7), 757–786 (2020)

    Google Scholar 

  • van Doorn, J., et al.: Domo arigato mr. roboto: emergence of automated social presence in organizational frontlines and customers’ service experiences. J. Serv. Res. 20(1), 43–58 (2017)

    Article  Google Scholar 

  • Escobar, M.C.: Hotels put robots to work. Hospitality Technology (2017). Accessed 16 Jan 2023. https://hospitalitytech.com/november-hotel-tech-tren-d-hotels-put-robots-work

  • Fan, Y., Liu, X.: Exploring the role of AI algorithmic agents: the impact of algorithmic decision autonomy on consumer purchase decisions. Front. Psychol. 13, 1009173 (2022)

    Article  Google Scholar 

  • Gibson, J.J.: The Ecological Approach to Visual Perception. Lawrence Erlbaum Associates, Hillsdale (1986)

    Google Scholar 

  • Gibson, J.J.: The theory of affordances. In: The ecological approach to visual perception, Lawrence Erlbaum Associates, Inc., Hillsdale (1979)

    Google Scholar 

  • Giralt, G.: Mobile robots: decisional and operational autonomy. In: IFAC Intelligent Components for Autonomous and Semi-Autonomous Vehicles, Toulouse, France, October (1995)

    Google Scholar 

  • Grgecic, D., Holten, R., Rosenkranz, C.: The impact of functional affordances and symbolic expressions on the formation of beliefs. J. Assoc. Inf. Syst. 16(7), 580–607 (2015)

    Google Scholar 

  • Gursoy, D., Chi, C.G.: Effects of COVID-19 pandemic on hospitality industry: review of the current situations and a research agenda. J. Hosp. Market. Manag. 29, 527–529 (2020)

    Google Scholar 

  • Hartson, R.: Cognitive, physical, sensory, and functional affordances in interaction design. Behav. Inf. Technol. 22(5), 315–338 (2003)

    Article  Google Scholar 

  • Ivanov, S., SeyitoÄŸlu, F., Markova, M.: Hotel managers’ perceptions towards the use of robots: a mixed-methods approach. Inf. Technol. Tour. 22(4), 505–535 (2020). https://doi.org/10.1007/s40558-020-00187-x

    Article  Google Scholar 

  • Kahn, P.H., Jr., et al.: What is a human? toward psychological benchmarks in the field of human–robot interaction. Interact. Stud. 8(3), 363–390 (2007)

    Article  Google Scholar 

  • Kim, H., So, K.K.F.: Two decades of customer experience research in hospitality and tourism: a bibliometric analysis and thematic content analysis. Int. J. Hosp. Manag. 100, 103082 (2022)

    Article  Google Scholar 

  • Kim, S.S., Kim, J., Badu-Baiden, F., Giroux, M., Choi, Y.: Preference for robot service or human service in hotels? impacts of the COVID-19 pandemic. Int. J. Hosp. Manag. 93, 102795 (2021)

    Article  Google Scholar 

  • Kim, T., Hinds, P.: Who should i blame? effects of autonomy and transparency on attributions in human-robot interaction. In: ROMAN 2006-The 15th IEEE International Symposium on Robot and Human Interactive Communication, Hatfield, UK, pp. 80–85 (2006)

    Google Scholar 

  • Kirkman, B.L., Rosen, B., Tesluk, P.E., Gibson, C.B.: The impact of team empowerment on virtual team performance: the moderating role of face-to-face interaction. Acad. Manag. J. 47(2), 175–192 (2004)

    Article  Google Scholar 

  • Koroleva, K., Kane, G.C.: Relational affordances of information processing on Facebook. Inf. Manag. 54(5), 560–572 (2017)

    Article  Google Scholar 

  • Landau, M.J., Kay, A.C., Whitson, J.A.: Compensatory control and the appeal of a structured world. Psychol. Bull. 141(3), 694–722 (2015)

    Article  Google Scholar 

  • Leah.: What do your customers actually think about chatbots? (2022). https://www.userlike.com/en/blog/consumer-chatbot-perceptions

  • Lei, S.I., Wang, D., Law, R.: Perceived technology affordance and value of hotel mobile apps: a comparison of hoteliers and customers. J. Hosp. Tour. Manag. 39, 201–211 (2019)

    Article  Google Scholar 

  • Leonardi, P.M.: When flexible routines meet flexible technologies: affordance, constraint, and the imbrication of human and material agencies. MIS Q. 35(1), 147–167 (2011)

    Article  Google Scholar 

  • Leung, E., Paolacci, G., Puntoni, S.: Man versus machine: resisting automation in identity-based consumer behavior. J. Mark. Res. 55, 818–831 (2018)

    Article  Google Scholar 

  • Luo, J.M., Vu, H.Q., Li, G., Law, R.: Understanding service attributes of robot hotels: a sentiment analysis of customer online reviews. Int. J. Hosp. Manag. 98, 103032 (2021)

    Article  Google Scholar 

  • Maier, J.R.A., Fadel, G.M.: Affordance based design: a relational theory for design. Res. Eng. Design 20, 13–27 (2009)

    Article  Google Scholar 

  • Markus, M.L., Silver, M.S.: A foundation for the study of IT effects: a new look at DeSanctis and Poole’s concepts of structural features and spirit. J. Assoc. Inf. Syst. 9(10), 609–632 (2008)

    Google Scholar 

  • Mende, M., Scott, M.L., van Doorn, J., Grewal, D., Shanks, I.: Service robots rising: how humanoid robots influence service experiences and elicit compensatory consumer responses. J. Mark. Res. 56(4), 535–556 (2019)

    Article  Google Scholar 

  • Norman, D.A.: The Psychology of Everyday Things. Basic Books, New York (1988)

    Google Scholar 

  • Parasuraman, A.: Technology readiness index (TRI) a multiple-item scale to measure readiness to embrace new technologies. J. Serv. Res. 2(4), 307–320 (2000)

    Article  Google Scholar 

  • Rau, P.P., Li, Y., & Liu, J.: Effects of a Social Robot's Autonomy and Group Orientation on Human Decision-Making. Advances in Human-Computer Interaction, 263721 (2013)

    Google Scholar 

  • Rijsdijk, S.A., Hultink, E.J.: How today’s consumers perceive tomorrow’s smart products. J. Prod. Innov. Manag. 26(1), 24–42 (2009)

    Article  Google Scholar 

  • Rijsdijk, S.A., Hultink, E.J., Diamantopoulos, A.: Product intelligence: its conceptualization, measurement and impact on consumer satisfaction. J. Acad. Mark. Sci. 35, 340–356 (2007)

    Article  Google Scholar 

  • Seo, S.: When female (male) robot is talking to me: effect of service robots’ gender and anthropomorphism on customer satisfaction. Int. J. Hosp. Manag. 102, 103166 (2022)

    Article  Google Scholar 

  • Singh, A., Juneja, D., Malhotra, M.: A novel agent based autonomous and service composition framework for cost optimization of resource provisioning in cloud computing. J. King Saud Univ. Comput. Inf. Sci. 29(1), 19–28 (2017)

    Google Scholar 

  • Sundar, S., Nass, C.: Conceptualizing sources in online news. J. Commun. 51(1), 52–72 (2001)

    Article  Google Scholar 

  • Treem, J.W., Leonardi, P.M.: Social media use in organizations: exploring the affordances of visibility, editability, persistence, and association. Ann. Int. Commun. Assoc. 36(1), 143–189 (2013)

    Google Scholar 

  • Tuomi, A., Tussyadiah, I.P., Stienmetz, J.: Applications and implications of service robots in hospitality. Cornell Hosp. Q. 62(2), 232–247 (2021)

    Article  Google Scholar 

  • Wu, J.F., Yu, H.Y., Zhu, Y.M., Zhang, X.Y.: Impact of artificial intelligence recommendation on consumers’ willingness to adopt. J. Manag. Sci. 33(5), 29–43 (2020)

    Google Scholar 

  • Xiao, H.J.: Algorithmic responsibility: theoretical justification, panoramic portrait and governance paradigm. J. Manag. World 38(4), 200–226 (2022)

    Google Scholar 

  • Xu, P., Xu, X.Y.: Change logic and analysis framework of enterprise management in the era of artificial intelligence. J. Manag. World 1, 122–129 (2020)

    Google Scholar 

  • Yang, G. Z., et al.: Medical robotics-Regulatory, ethical, and legal considerations for increasing levels of autonomy. Sci. Rob. 2(4), eaam8638 (2017)

    Google Scholar 

  • ZÅ‚otowski, J., Yogeeswaran, K., Bartneck, C.: Can we control it? autonomous robots threaten human identity, uniqueness, safety, and resources. Int. J. Hum. Comput. Stud. 100, 48–54 (2017)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Guoxin Li .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Li, K., Li, G. (2023). Study on the Impact of Service Robot Autonomy on Customer Satisfaction. In: Nah, F., Siau, K. (eds) HCI in Business, Government and Organizations. HCII 2023. Lecture Notes in Computer Science, vol 14039. Springer, Cham. https://doi.org/10.1007/978-3-031-36049-7_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-36049-7_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-36048-0

  • Online ISBN: 978-3-031-36049-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics