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Building Trust in Mobile Medical Consultations: The Roles of Privacy Concerns, Personality Traits, and Social Cues

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Human Aspects of IT for the Aged Population. Technology Design and Acceptance (HCII 2021)

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Abstract

It is increasingly popular to access health professionals through mobile medical consultations (MMCs). However, few studies on trust building during MMCs were found. To fill this gap, this study conducted an online survey study with 108 users of MMCs in China. We investigated the predictors of two types of trust (i.e., trust in physicians and trust in MMCs) by examining the influences of privacy concerns, personality traits, social presence of interaction, and social validation. The results indicated that intellect, privacy concerns, social presence of interaction, and social validation are the predictors of trust in physicians, while neuroticism, privacy concerns, and social presence of interaction are the predictors of trust in applications. The findings provided suggestions about how to build trust by considering privacy concerns and personality traits and highlighted the effects of social presence of interaction and social validation, which are interface features, on trust. Practically, this study also implied that practitioners and designers can apply different strategies to enhance trust in physicians and trust in applications in relation to MMCs.

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References

  1. Ma, X., Gui, X., Fan, J., Zhao, M., Chen, Y., Zhang, K.: Professional medical advice at your fingertips: an empirical study of an online ‘Ask the doctor’ platform. In: Proceedings of the ACM on Human-Computer Interaction, vol. 2, no. CSCW (2018)

    Google Scholar 

  2. Lazard, A.J., Brennen, J.S., Troutman Adams, E., Love, B.: Cues for increasing social presence for mobile health app adoption. J. Health Commun. 25(2), 136–149 (2020). https://doi.org/10.1080/10810730.2020.1719241

    Article  Google Scholar 

  3. Xing, W., Hsu, P.Y., Chang, Y.W., Shiau, W.L.: How does online doctor–patient interaction affect online consultation and offline medical treatment? Ind. Manag. Data Syst. 120(1), 196–214 (2019). https://doi.org/10.1108/IMDS-05-2019-0261

    Article  Google Scholar 

  4. Blandford, A.: HCI for health and wellbeing: Challenges and opportunities. Int. J. Hum. Comput. Stud. 131(June), 41–51 (2019). https://doi.org/10.1016/j.ijhcs.2019.06.007

    Article  Google Scholar 

  5. Li, Q.: Healthcare at your fingertips: the acceptance and adoption of mobile medical treatment services among Chinese users. Int. J. Environ. Res. Public Health 17(18), 1–21 (2020). https://doi.org/10.3390/ijerph17186895

    Article  Google Scholar 

  6. Chellappa, R., Sin, R.: Personalization versus privacy: an empirical examination of the online consumer’s dilemma. Inf. Technol. Manag. 6, 181–202 (2005)

    Article  Google Scholar 

  7. Hall, M.A., Camacho, F., Dugan, E., Balkrishnan, R.: Trust in the medical profession: conceptual and measurement issues. Health Serv. Res. 37(5), 1419–1439 (2002). https://doi.org/10.1111/1475-6773.01070

    Article  Google Scholar 

  8. Shao, Z., Zhang, L., Li, X., Guo, Y.: Antecedents of trust and continuance intention in mobile payment platforms: the moderating effect of gender. Electron. Commer. Res. Appl. 33, 1 (2019). https://doi.org/10.1016/j.elerap.2018.100823

    Article  Google Scholar 

  9. Nilashi, M., Ibrahim, O., Reza Mirabi, V., Ebrahimi, L., Zare, M.: The role of security, design and content factors on customer trust in mobile commerce. J. Retail. Consum. Serv. 26, 57–69 (2015). https://doi.org/10.1016/j.jretconser.2015.05.002

    Article  Google Scholar 

  10. Li, Y.-M., Yeh, Y.-S.: Increasing trust in mobile commerce through design aesthetics. Comput. Hum. Behav. 26(4), 673–684 (2010). https://doi.org/10.1016/j.chb.2010.01.004

    Article  Google Scholar 

  11. Jucks, R., Thon, F.M.: Better to have many opinions than one from an expert? Social validation by one trustworthy source versus the masses in online health forums. Comput. Hum. Behav. 70, 375–381 (2017). https://doi.org/10.1016/j.chb.2017.01.019

    Article  Google Scholar 

  12. Korzaan, M.L., Boswell, K.T.: The influence of personality traits and information privacy concerns on behavioral intentions. J. Comput. Inf. Syst. 48(4), 15–24 (2008). https://doi.org/10.1080/08874417.2008.11646031

  13. Junglas, I.A., Johnson, N.A., Spitzmüller, C.: Personality traits and concern for privacy: an empirical study in the context of location-based services. Eur. J. Inf. Syst. 17(4), 387–402 (2008). https://doi.org/10.1057/ejis.2008.29

    Article  Google Scholar 

  14. Sutcliffe, A.G., Wang, D., Dunbar, R.I.M.: Modelling the role of trust in social relationships. ACM Trans. Internet Technol. 15(4), 16–24 (2015). https://doi.org/10.1145/2815620

    Article  Google Scholar 

  15. Gao, L., Waechter, K.A., Bai, X.: Understanding consumers’ continuance intention towards mobile purchase: a theoretical framework and empirical study - a case of China. Comput. Hum. Behav. 53, 249–262 (2015). https://doi.org/10.1016/j.chb.2015.07.014

    Article  Google Scholar 

  16. Malhotra, N.K., Kim, S.S., Agarwal, J.: Internet users’ information privacy concerns (IUIPC): the construct, the scale, and a causal model. Inf. Syst. Res. 15(4), 336–355 (2004)

    Article  Google Scholar 

  17. Sun, Z., Reani, M., Li, Q., Ma, X.: Fostering engagement in technology-mediated stress management: a comparative study of biofeedback designs. Int. J. Hum. Comput. Stud. 140, 102430 (2020). https://doi.org/10.1016/j.ijhcs.2020.102430

    Article  Google Scholar 

  18. Zhang, X., Liu, S., Chen, X., Wang, L., Gao, B., Zhu, Q.: Health information privacy concerns, antecedents, and information disclosure intention in online health communities. Inf. Manag. 55(4), 482–493 (2018). https://doi.org/10.1016/j.im.2017.11.003

    Article  Google Scholar 

  19. McElroy, J.C., Hendrickson, A.R., Townsend, A.M., DeMarie, S.M.: Dispositional factors in internet use: personality versus cognitive style. MIS Q. 31(4), 809 (2017). https://doi.org/10.2307/25148821

  20. Zhang, J., Luximon, Y.: A quantitative diary study of perceptions of security in mobile payment transactions. Behav. Inf. Technol. 1–24 (2020). https://doi.org/10.1080/0144929X.2020.1771418

  21. Xu, R., Frey, R.M., Fleisch, E., Ilic, A.: Understanding the impact of personality traits on mobile app adoption - insights from a large-scale field study. Comput. Hum. Behav. 62, 244–256 (2016). https://doi.org/10.1016/j.chb.2016.04.011

    Article  Google Scholar 

  22. Zhou, L., et al.: La2O2CN2:Yb3+/Tm3+ nanofibers and nanobelts: novel fabrication technique, structure and upconversion luminescence. J. Mater. Sci. Mater. Electron. 28(21), 16282–16291 (2017). https://doi.org/10.1007/s10854-017-7534-x

    Article  Google Scholar 

  23. Biocca, F., Harms, C., Burgoon, J.K.: Toward a more robust theory and measure of social presence: review and suggested criteria. Presence Teleoperators Virtual Environ. 12, 456–480 (2003). https://doi.org/10.1162/105474603322761270

    Article  Google Scholar 

  24. Lu, B., Fan, W., Zhou, M.: Social presence, trust, and social commerce purchase intention: an empirical research. Comput. Hum. Behav. 56, 225–237 (2016). https://doi.org/10.1016/j.chb.2015.11.057

    Article  Google Scholar 

  25. Hajli, N., Lin, X., Featherman, M., Wang, Y.: Social word of mouth: how trust develops in the market. Int. J. Mark. Res. 56(5), 673–689 (2014). https://doi.org/10.2501/ijmr-2014-045

    Article  Google Scholar 

  26. Gefen, D., Straub, D.W.: Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services. Omega 32(6), 407–424 (2004). https://doi.org/10.1016/j.omega.2004.01.006

    Article  Google Scholar 

  27. Verhagen, T., van Nes, J., Feldberg, F., van Dolen, W.: Virtual customer service agents: using social presence and personalization to shape online service encounters. J. Comput.-Mediat. Commun. 19(3), 529–545 (2014). https://doi.org/10.1111/jcc4.12066

    Article  Google Scholar 

  28. Hair, J.F., Ringle, C.M., Sarstedt, M.: PLS-SEM: Indeed a silver bullet. J. Mark. Theory Pract. 19(2), 139–151 (2011). https://doi.org/10.2753/MTP1069-6679190202

    Article  Google Scholar 

  29. Nunnally, J.C.: Psychometric Theory. McGraw-Hill, New York (1978)

    Google Scholar 

  30. Halevi, T., Lewis, J., Memon, N.: A pilot study of cyber security and privacy related behavior and personality traits. In: The 22nd International Conference on World Wide Web, pp. 737–744. ACM, New York. (2013). https://doi.org/10.1145/2487788.2488034

  31. Zhou, T., Lu, Y.: The effects of personality traits on user acceptance of mobile commerce. Int. J. Hum.-Comput. Interact. 27(6), 545–561 (2011). https://doi.org/10.1080/10447318.2011.555298

    Article  Google Scholar 

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Acknowledgement

This research was supported by The First Batch of 2020 MOE Industry-University Collaborative Education Program (Program No. 202002035010, Kingfar-CES “Human Factors and Ergonomics” Program), Shenzhen Educational Science Planning Project (Program No. zdfz20015) and Foundation for Young Talents in Higher Education of Guangdong, China [Project Batch No. 2020WQNCX061].

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Zhang, J., Li, Q., Luximon, Y. (2021). Building Trust in Mobile Medical Consultations: The Roles of Privacy Concerns, Personality Traits, and Social Cues. In: Gao, Q., Zhou, J. (eds) Human Aspects of IT for the Aged Population. Technology Design and Acceptance. HCII 2021. Lecture Notes in Computer Science(), vol 12786. Springer, Cham. https://doi.org/10.1007/978-3-030-78108-8_22

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  • DOI: https://doi.org/10.1007/978-3-030-78108-8_22

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