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Why Does Perceived Humanness Predict AI Use Intention? The Mediating Roles of Perceived Values and Perceived Risk

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E-Business. New Challenges and Opportunities for Digital-Enabled Intelligent Future (WHICEB 2024)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 516))

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Abstract

Nowadays artificial intelligence (AI) has been widely used in the healthcare industry. AI can provide improved healthcare services by advancing technologies and individuals expect AI’s human-like responses. This study aims to understand how the perceived humanness of AI influences individuals’ use intention of AI in health consultations. In view of the influencing mechanism model, this study carries out an in-depth study. This study develops a model to explore the relationship among perceived humanness, AI use intention, perceived values (utilitarian value and hedonic value), and perceived risk (PR). Meanwhile, it tests the mediating roles of perceived values and perceived risk on the relationship between perceived humanness and AI use intention. 275 university students were involved in this study. Results show that perceived utilitarian value and perceived hedonic value fully mediate the relationship, while perceived risk could not show a significant effect. This study shows evidence of why designing AI with perceived humanness increases users’ intention in health consultations.

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References

  1. Väänänen, A., Haataja, K., Vehviläinen-Julkunen, K., Toivanen, P.: AI in healthcare: a narrative review. F1000Research 10, 6 (2021). https://doi.org/10.12688/f1000research.26997.1

    Article  Google Scholar 

  2. Rietz, T., Benke, I., Maedche, A.: The impact of anthropomorphic and functional Chatbot design features in enterprise collaboration systems on user acceptance. International Conference on Wirtschafts informatik, pp. 1642–1656. Siegen, Germany (2019)

    Google Scholar 

  3. Westerman, D., Edwards, A.P., Edwards, C., Luo, Z., Spence, P.R.: I-it, I-thou, I-robot: the perceived humanness of AI in human-machine communication. Commun. Stud. 71(3), 393–408 (2020)

    Article  Google Scholar 

  4. Zamora, J.: I’m sorry, dave, i’m afraid i can’t do that: Chatbot perception and expectations. In: Proceedings of the 5th International Conference on Human Agent Interaction, pp. 253–260 (2017)

    Google Scholar 

  5. Ahmad, N.A., Che, M.H., Zainal, A., Abd Rauf, M.F., Adnan, Z.: Review of Chatbots design techniques. Int. J. Comput. Appl. 181(8), 7–10 (2018)

    Google Scholar 

  6. Svenningsson, N., Faraon, M.: Artificial intelligence in conversational agents: a study of factors related to perceived humanness in chatbots. In: Proceedings of the 2019 2nd Artificial Intelligence and Cloud Computing Conference, pp. 151–161 (2019)

    Google Scholar 

  7. Babin, B.J., Darden, W.R., Griffin, M.: Work and/or fun: measuring hedonic and utilitarian shopping value. J. Consum. Res. 20(4), 644–656 (1994)

    Article  Google Scholar 

  8. Belanche, D., Casaló, L.V., Schepers, J., Flavián, C.: Examining the effects of robots’ physical appearance, warmth, and competence in frontline services: the humanness-value-loyalty model. Psychol. Mark. 38(12), 2357–2376 (2021)

    Article  Google Scholar 

  9. Jones, M.A., Reynolds, K.E., Arnold, M.J.: Hedonic and utilitarian shopping value: Investigating differential effects on retail outcomes. J. Bus. Res. 59(9), 974–981 (2006)

    Article  Google Scholar 

  10. Wang, E.S.T.: Internet usage purposes and gender differences in the effects of perceived utilitarian and hedonic value. Cyberpsychol. Behav. Soc. Netw. 13(2), 179–183 (2010)

    Article  Google Scholar 

  11. Chiu, C.M., Wang, E.T., Fang, Y.H., Huang, H.Y.: Understanding customers’ repeat purchase intentions in B2C e-commerce: the roles of utilitarian value, hedonic value and perceived risk. Inf. Syst. J. 24(1), 85–114 (2014)

    Article  Google Scholar 

  12. Fiore, A.M., Jin, H.J., Kim, J.: For fun and profit: hedonic value from image interactivity and responses toward an online store. Psychol. Mark. 22(8), 669–694 (2005)

    Article  Google Scholar 

  13. Chi, N.T.K., Hoang, V., N.: Investigating the customer trust in artificial intelligence: the role of anthropomorphism, empathy response, and interaction. CAAI Trans. Intell. Technol. 8(1), 260–273 (2023)

    Article  Google Scholar 

  14. Akdim, K., Casaló, L.V., Flavián, C.: The role of utilitarian and hedonic aspects in the continuance intention to use social mobile apps. J. Retail. Consum. Serv. 66, 102888 (2022)

    Article  Google Scholar 

  15. Kumar, V., Rajan, B., Venkatesan, R., Lecinski, J.: Understanding the role of artificial intelligence in personalized engagement marketing. Calif. Manage. Rev. 61(4), 135–155 (2019)

    Article  Google Scholar 

  16. Gemünden, H.G.: Perceived risk and information search. a systematic meta-analysis of the empirical evidence. Int. J. Res. Mark. 2(2), 79–100 (1985). https://doi.org/10.1016/0167-8116(85)90026-6

    Article  Google Scholar 

  17. Wu, J.H., Wang, S.: What drives mobile commerce?: an empirical evaluation of the revised technology acceptance model. Inf. Manage. 42(5), 719–729 (2005)

    Article  Google Scholar 

  18. Rohden, S.F., Zeferino, D.G.: Recommendation agents: an analysis of consumers’ risk perceptions toward artificial intelligence. Electron. Commer. Res. 23(4), 2035–2050 (2023)

    Article  Google Scholar 

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Xia, T., Kong, X., Mai, Q., Guo, H., Liu, X. (2024). Why Does Perceived Humanness Predict AI Use Intention? The Mediating Roles of Perceived Values and Perceived Risk. In: Tu, Y.P., Chi, M. (eds) E-Business. New Challenges and Opportunities for Digital-Enabled Intelligent Future. WHICEB 2024. Lecture Notes in Business Information Processing, vol 516. Springer, Cham. https://doi.org/10.1007/978-3-031-60260-3_8

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  • DOI: https://doi.org/10.1007/978-3-031-60260-3_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-60259-7

  • Online ISBN: 978-3-031-60260-3

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