Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/161976
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dc.contributor.authorKang, Hyunjinen_US
dc.contributor.authorKim, Ki Joonen_US
dc.date.accessioned2022-09-28T01:36:21Z-
dc.date.available2022-09-28T01:36:21Z-
dc.date.issued2022-
dc.identifier.citationKang, H. & Kim, K. J. (2022). Does humanization or machinization make the IoT persuasive? The effects of source orientation and social presence. Computers in Human Behavior, 129, 107152-. https://dx.doi.org/10.1016/j.chb.2021.107152en_US
dc.identifier.issn0747-5632en_US
dc.identifier.urihttps://hdl.handle.net/10356/161976-
dc.description.abstractThe advent of Internet of Things (IoT) technology has revolutionized both the roles and functions of everyday objects and how users interact with them. Using artificial intelligence (AI) and an advanced capacity for communication, smart objects can now function as communication sources and deliver persuasive messages. This study investigates how different types of agency and source cues shape the persuasiveness of a smart object via social presence. When users interacted with a smart object that exerted its own agency, they sensed greater social presence when the object used machine cues rather than human cues. Conversely, when users interacted with a smart object that allowed the user to exercise their own agency, human cues, rather than machine cues, produced greater feelings of social presence, which enhanced the persuasiveness of the messages conveyed by the object. However, the persuasive effects of social presence were reversed when the interaction prompted AI anxiety in the user.en_US
dc.description.sponsorshipMinistry of Education (MOE)en_US
dc.language.isoenen_US
dc.relation2019- T1-002-115en_US
dc.relation.ispartofComputers in Human Behavioren_US
dc.rights© 2021 Published by Elsevier Ltd. All rights reserved.en_US
dc.subjectSocial sciences::Communicationen_US
dc.titleDoes humanization or machinization make the IoT persuasive? The effects of source orientation and social presenceen_US
dc.typeJournal Articleen
dc.contributor.schoolWee Kim Wee School of Communication and Informationen_US
dc.identifier.doi10.1016/j.chb.2021.107152-
dc.identifier.scopus2-s2.0-85121630885-
dc.identifier.volume129en_US
dc.identifier.spage107152en_US
dc.subject.keywordsInternet of Thingsen_US
dc.subject.keywordsArtificial Intelligenceen_US
dc.description.acknowledgementThe research was supported by the first author’s Tier 1 Grant (2019- T1-002-115) from Ministry of Education, Singapore.en_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
Appears in Collections:WKWSCI Journal Articles

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