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
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)
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
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
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
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
Chellappa, R., Sin, R.: Personalization versus privacy: an empirical examination of the online consumer’s dilemma. Inf. Technol. Manag. 6, 181–202 (2005)
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
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
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
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
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
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
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
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
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
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)
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
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
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
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
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
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
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
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
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
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
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
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
Nunnally, J.C.: Psychometric Theory. McGraw-Hill, New York (1978)
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
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
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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