Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105019
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorSchool of Designen_US
dc.creatorZhang, Jen_US
dc.creatorLi, Qen_US
dc.creatorLuximon, Yen_US
dc.date.accessioned2024-04-03T01:45:42Z-
dc.date.available2024-04-03T01:45:42Z-
dc.identifier.isbn978-3-030-78107-1 (Softcover)en_US
dc.identifier.isbn978-3-030-78108-8 (eBook)en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/10397/105019-
dc.description7th International Conference, ITAP 2021, Held as Part of the 23rd International Conference on Human-Computer Interaction, HCII 2021, Virtual Event, July 24–29, 2021en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rights© Springer Nature Switzerland AG 2021en_US
dc.rightsThis 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.en_US
dc.subjectMobile medical consultationsen_US
dc.subjectPersonality traitsen_US
dc.subjectPrivacy concernsen_US
dc.subjectSocial cuesen_US
dc.subjectTrusten_US
dc.titleBuilding trust in mobile medical consultations : the roles of privacy concerns, personality traits, and social cuesen_US
dc.typeConference Paperen_US
dc.identifier.spage293en_US
dc.identifier.epage304en_US
dc.identifier.volume12786en_US
dc.identifier.doi10.1007/978-3-030-78108-8_22en_US
dcterms.abstractIt 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.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationLecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2021, v. 12786, p. 293-304en_US
dcterms.isPartOfLecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics)en_US
dcterms.issued2021-
dc.identifier.scopus2-s2.0-85112193035-
dc.relation.conferenceInternational Conference on Human-Computer Interaction [HCII]en_US
dc.identifier.eissn1611-3349en_US
dc.description.validate202403 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberSD-0017-
dc.description.fundingSourceOthersen_US
dc.description.fundingText2020 MOE Industry-University Collaborative Education Program; Shenzhen Educational Science Planning Project; Foundation for Young Talents in Higher Education of Guangdong, Chinaen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS55766599-
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Conference Paper
Files in This Item:
File Description SizeFormat 
Zhang_Building_Trust_Mobile.pdfPre-Published version257.29 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

106
Last Week
1
Last month
Citations as of Nov 30, 2025

Downloads

63
Citations as of Nov 30, 2025

SCOPUSTM   
Citations

8
Citations as of Dec 19, 2025

WEB OF SCIENCETM
Citations

5
Citations as of Dec 18, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.