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Chatbot vs. Human

The Impact of Responsive Conversational Features on Users’ Responses to Chat Advisors Authors

Bibliographic Data

ID22223804
AuthorsStefanie Helene Klein (0000-0002-7563-4548, Leibniz-Institut für Wissensmedien), Sonja Utz (0000-0002-7979-3554, Leibniz-Institut für Wissensmedien)
Year2024
Volume8
Pages73-99
Publication date2024-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueHuman-Machine Communication (JOURNAL)
Journal identifiersISSN: 2638-602X • E-ISSN: 2638-6038
PublisherCommunication and Social Robotics Labs (PUBLISHER • US)
DOI10.30658/hmc.8.4
OpenAlexW4399933382
LanguageEN
Citations received3
References cited51

As educational organizations increasingly consider supporting or replacing human chat advisors with chatbots, it is crucial to examine if users perceive a chatbot differently from a human. Chatbots’ conversational features may signal responsiveness and thus improve user responses. To explore this, we conducted three online experiments using a study advising setting. We computed pooled data analyses because the individual study results did not provide clear support for our hypotheses. Results indicate that users prefer human agents regarding competence and intention to use but not perceived enjoyment. Responsiveness increased likability, warmth, and satisfaction. Perceptions of the interaction mediated the responsiveness effects. Our findings suggest that educational organizations can support their study advising departments with well-functioning chatbots without eliciting negative user responses

Chatbot · Human–computer interaction · World Wide Web · AI in Service Interactions · Communication · Computer Science · Misinformation and Its Impacts · Psychology · Social Robot Interaction and HRI

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Unique citing works3
Citations per year1,5
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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