Relational introspections with machines: a social-cognitive framework of trait perception, relational schemas, and trust in intention to use AI.
This paper proposes a framework for understanding people's relational introspections with machines. Through a social information processing lens, we argue that such introspections begin with relative perceptions of two basic traits: communion (prosocial intentionality) and agency (goal-pursuit capac...
| Publicado en: | Human Communication Research Vol. 52; no. 3; pp. 133 - 147 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Oxford University Press / USA
Jun2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=195378208&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 195378208 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03603989 HUC jtl: Human Communication Research issn: 03603989 maglogo: N pubinfo: dt: Jun2026 vid: 52 iid: 3 pid: 622 pub: Oxford University Press / USA artinfo: ui: 195378208 10.1093/hcr/hqaf026 ppf: 133 ppct: 14 formats: tig: atl: Relational introspections with machines: a social-cognitive framework of trait perception, relational schemas, and trust in intention to use AI. aug: au: Liao, Wang Lee, Ya-Ching Xue, Haoning McKinley, Emily affil: Department of Communication, University of Washington, Seattle, United States Institute of Marketing Communication, National Sun Yat-sen University, Kaohsiung, Taiwan Department of Communication, University of Utah, Salt Lake City, United States Department of Communication, University of California Davis, Davis, United States su: Trust Judgment (Psychology) Social cognitive theory Schemas (Psychology) Artificial intelligence Human-artificial intelligence interaction Introspection sug: subj: Trust Judgment (Psychology) Social cognitive theory Schemas (Psychology) Artificial intelligence Human-artificial intelligence interaction Introspection keyword: agency artificial intelligence assemblage communion copyrightHolder:International Communication Association copyrightYear:2026 human–machine communication inLanguage:en perception publisher:Oxford University Press relational schemas sameAs:https://dx.doi.org/10.1093/hcr/hqaf026 schema social information processing trust agency artificial intelligence assemblage communion copyrightHolder:International Communication Association copyrightYear:2026 human–machine communication inLanguage:en perception publisher:Oxford University Press relational schemas sameAs:https://dx.doi.org/10.1093/hcr/hqaf026 schema social information processing trust ab: This paper proposes a framework for understanding people's relational introspections with machines. Through a social information processing lens, we argue that such introspections begin with relative perceptions of two basic traits: communion (prosocial intentionality) and agency (goal-pursuit capacities) for both machine and user. These relative perceptions are then interpreted through relational schemas in the short term and regulated by trust in the long term––jointly shaping relational behaviors toward the machine (e.g. intention to use). We surveyed three US samples of various AI-technology users (college students, N = 438; MTurk participants, N = 1,023; Prolific participants, N = 726, matched to census demographics). Results consistently showed that (a) intention to use such a machine was driven by self-agency followed by machine-communion, whereas machine-agency and self-communion had no direct impact, and (b) the relative importance of these trait perceptions was mediated by certain relational schemas and moderated by trust across respondents. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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