Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-21508
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dc.contributor.authorSeiler, Roger-
dc.contributor.authorSchär, Annemarie-
dc.date.accessioned2021-01-29T11:08:22Z-
dc.date.available2021-01-29T11:08:22Z-
dc.date.issued2021-
dc.identifier.isbn978-0-9981331-4-0de_CH
dc.identifier.issn2572-6857de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/21508-
dc.description.abstractChatbots are becoming increasingly common in web-based business-to-consumer (B2C) communication. However, this technology can have high failure rates when it comes to correctly processing consumer inquiries, as human interactions and conversational di-alogues are complex and highly context dependent. Besides improving the technology behind the chatbots, companies may be able to enhance a client’s chatbot experience by using insights from the stereotype content model (SCM). Hence, this paper seeks to find out whether the model can be applied to the domain of chat-bots and whether it holds true in this context as well. An online survey was conducted, and the results showed that people perceived the chatbots according to the model. Therefore, companies are advised to use the “loveable star” stereotype in their chatbot communication. Trust did not score significantly higher for this stereotype than for the other SCM stereotypes. This contradicts existing theory and is therefore an invitation for further research.de_CH
dc.language.isoende_CH
dc.publisherUniversity of Hawai'i at Manoade_CH
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/de_CH
dc.subjectChatbotde_CH
dc.subjectSocial robotde_CH
dc.subjectStereotype content modelde_CH
dc.subjectTrustde_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.subject.ddc658.8: Marketingmanagementde_CH
dc.titleChatbots, conversational interfaces, and the stereotype content modelde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Management and Lawde_CH
zhaw.publisher.placeHonolulude_CH
dc.identifier.doi10.21256/zhaw-21508-
dc.identifier.doi10.24251/HICSS.2021.227de_CH
zhaw.conference.details54th Hawaii International Conference on System Sciences (HICSS), Grand Wailea, HI, USA, 5-8 January 2021de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end1867de_CH
zhaw.pages.start1860de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsProceedings of the 54th Hawaii International Conference on System Sciencesde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Management and Law

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Seiler, R., & Schär, A. (2021). Chatbots, conversational interfaces, and the stereotype content model [Conference paper]. Proceedings of the 54th Hawaii International Conference on System Sciences, 1860–1867. https://doi.org/10.21256/zhaw-21508
Seiler, R. and Schär, A. (2021) ‘Chatbots, conversational interfaces, and the stereotype content model’, in Proceedings of the 54th Hawaii International Conference on System Sciences. Honolulu: University of Hawai’i at Manoa, pp. 1860–1867. Available at: https://doi.org/10.21256/zhaw-21508.
R. Seiler and A. Schär, “Chatbots, conversational interfaces, and the stereotype content model,” in Proceedings of the 54th Hawaii International Conference on System Sciences, 2021, pp. 1860–1867. doi: 10.21256/zhaw-21508.
SEILER, Roger und Annemarie SCHÄR, 2021. Chatbots, conversational interfaces, and the stereotype content model. In: Proceedings of the 54th Hawaii International Conference on System Sciences. Conference paper. Honolulu: University of Hawai’i at Manoa. 2021. S. 1860–1867. ISBN 978-0-9981331-4-0
Seiler, Roger, and Annemarie Schär. 2021. “Chatbots, Conversational Interfaces, and the Stereotype Content Model.” Conference paper. In Proceedings of the 54th Hawaii International Conference on System Sciences, 1860–67. Honolulu: University of Hawai’i at Manoa. https://doi.org/10.21256/zhaw-21508.
Seiler, Roger, and Annemarie Schär. “Chatbots, Conversational Interfaces, and the Stereotype Content Model.” Proceedings of the 54th Hawaii International Conference on System Sciences, University of Hawai’i at Manoa, 2021, pp. 1860–67, https://doi.org/10.21256/zhaw-21508.


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