TY - GEN
T1 - Building Trust in Mobile Medical Consultations: The Roles of Privacy Concerns, Personality Traits, and Social Cues
AU - Zhang, Jiaxin
AU - Li, Qingchuan
AU - Luximon, Yan
N1 - Funding Information:
This research was supported by The First Batch of 2020 MOE IndustryUniversity 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].
Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021/7
Y1 - 2021/7
N2 - 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.
AB - 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.
KW - Mobile medical consultations
KW - Personality traits
KW - Privacy concerns
KW - Social cues
KW - Trust
UR - http://www.scopus.com/inward/record.url?scp=85112193035&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-78108-8_22
DO - 10.1007/978-3-030-78108-8_22
M3 - Conference article published in proceeding or book
AN - SCOPUS:85112193035
SN - 9783030781071
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 293
EP - 304
BT - Human Aspects of IT for the Aged Population. Technology Design and Acceptance - 7th International Conference, ITAP 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Proceedings
A2 - Gao, Qin
A2 - Zhou, Jia
PB - Springer Science and Business Media Deutschland GmbH
T2 - 7th International Conference on Human Aspects of IT for the Aged Population, ITAP 2021, held as part of the 23rd International Conference, HCI International 2021
Y2 - 24 July 2021 through 29 July 2021
ER -