Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105019
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Title: Building trust in mobile medical consultations : the roles of privacy concerns, personality traits, and social cues
Authors: Zhang, J 
Li, Q
Luximon, Y 
Issue Date: 2021
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2021, v. 12786, p. 293-304
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.
Keywords: Mobile medical consultations
Personality traits
Privacy concerns
Social cues
Trust
Publisher: Springer
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
ISBN: 978-3-030-78107-1 (Softcover)
978-3-030-78108-8 (eBook)
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-030-78108-8_22
Description: 7th International Conference, ITAP 2021, Held as Part of the 23rd International Conference on Human-Computer Interaction, HCII 2021, Virtual Event, July 24–29, 2021
Rights: © Springer Nature Switzerland AG 2021
This version of the proceeding paper has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-030-78108-8_22.
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