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dc.contributor.authorRozumowski, Anna-
dc.contributor.authorRellstab, Rolf-
dc.contributor.authorKlaas, Michael-
dc.date.accessioned2019-07-10T09:21:31Z-
dc.date.available2019-07-10T09:21:31Z-
dc.date.issued2019-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/17465-
dc.description.abstractIn response to the increasing importance of e-commerce, new communication modes have been developed. For example, chatbot technologies were designed to interact efficiently with customers. As trust can have positive effects on purchasing intentions, trust is the basis of successful business relationships. Trust is also fundamental to the virtual environment and, therefore, users’ trust is a prerequisite of conversational agents, such as chatbots. According to the model of trust, the main judging dimensions in the trust-formation process are warmth and competence. There is still little research on how these trust assessments are made in virtual contact. Moreover, existing research does not provide clear results about the extent of the difference in the interrelationships of sympathy, competence, and trust between human-machine interactions and human-human interactions. Therefore, the present study addresses this gap in research and analysis of trust assessments in human-machine and human-human sales interactions. To test our hypotheses, an experiment was conducted that included a chat-based live sales interaction which the test subjects participated in and evaluated. 98 people took part in the simulation. The results show that the warmth of human-human interaction is perceived as equal to that of human-chatbot interaction. No differences were found in the competence perceptions of the human-chatbot or human-human interactions.de_CH
dc.language.isoende_CH
dc.publisherChulalongkorn Universityde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subject.ddc150: Psychologiede_CH
dc.subject.ddc620: Ingenieurwesende_CH
dc.titleHuman vs chatbot : who is perceived as more trustworthy?de_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Management and Lawde_CH
zhaw.organisationalunitInstitut für Marketing Management (IMM)de_CH
zhaw.publisher.placeJapande_CH
zhaw.conference.detailse-CASE & e-Tech 2019, Fukuoka, Japan, 1-3 April 2019de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end57de_CH
zhaw.pages.start45de_CH
zhaw.parentwork.editorChian-Son, Yu-
zhaw.parentwork.editorChien-kuo, Li-
zhaw.parentwork.editorTa-Wei, Hung-
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingse-CASE & e-Tech 2019 Proceedingsde_CH
zhaw.author.additionalNode_CH
Appears in collections:Publikationen School of Management and Law

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Rozumowski, A., Rellstab, R., & Klaas, M. (2019). Human vs chatbot : who is perceived as more trustworthy? [Conference paper]. In Y. Chian-Son, L. Chien-kuo, & H. Ta-Wei (Eds.), e-CASE & e-Tech 2019 Proceedings (pp. 45–57). Chulalongkorn University.
Rozumowski, A., Rellstab, R. and Klaas, M. (2019) ‘Human vs chatbot : who is perceived as more trustworthy?’, in Y. Chian-Son, L. Chien-kuo, and H. Ta-Wei (eds) e-CASE & e-Tech 2019 Proceedings. Japan: Chulalongkorn University, pp. 45–57.
A. Rozumowski, R. Rellstab, and M. Klaas, “Human vs chatbot : who is perceived as more trustworthy?,” in e-CASE & e-Tech 2019 Proceedings, 2019, pp. 45–57.
ROZUMOWSKI, Anna, Rolf RELLSTAB und Michael KLAAS, 2019. Human vs chatbot : who is perceived as more trustworthy? In: Yu CHIAN-SON, Li CHIEN-KUO und Hung TA-WEI (Hrsg.), e-CASE & e-Tech 2019 Proceedings. Conference paper. Japan: Chulalongkorn University. 2019. S. 45–57
Rozumowski, Anna, Rolf Rellstab, and Michael Klaas. 2019. “Human Vs Chatbot : Who Is Perceived as More Trustworthy?” Conference paper. In E-CASE & E-Tech 2019 Proceedings, edited by Yu Chian-Son, Li Chien-kuo, and Hung Ta-Wei, 45–57. Japan: Chulalongkorn University.
Rozumowski, Anna, et al. “Human Vs Chatbot : Who Is Perceived as More Trustworthy?” E-CASE & E-Tech 2019 Proceedings, edited by Yu Chian-Son et al., Chulalongkorn University, 2019, pp. 45–57.


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