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Bits and Biases

2025-04Documento de conferência Acesso aberto
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dc.contributor.authorMacieira, Fernando Jorge Ferreira
dc.contributor.authorPinto, Diego Costa
dc.contributor.authorOliveira, Tiago
dc.contributor.authorYanaze, Mitsuru Higuchi
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.date.accessioned2025-04-24T21:18:00Z
dc.date.available2025-04-24T21:18:00Z
dc.date.issued2025-04
dc.descriptionMacieira, F. J. F., Pinto, D. C., Oliveira, T., & Yanaze, M. H. (2025). Bits and Biases: Exploring perceptions in human-like AI interactions using the Stereotype Content Model. In M. Arami, V. Corvello, & P. Baudier (Eds.), Proceedings of the 7th International Conference on Finance, Economics, Management and IT Business (pp. 161-166). Article 24 SciTePress - Science and Technology Publications. https://doi.org/10.5220/0013192700003956
dc.description.abstractIn an AI-infused world, user trust in responses generated by autonomous systems is of critical importance. Building upon the work of Ahn, Kim, and Sung (2022), this study examines the impact of stereotypes attributed to chatbots on user trust using the Stereotype Content Model (SCM), which relies on dimensions like warmth and competence for universal cross-culture social judgment. This research investigates how age-related stereotypes influence user perceptions of anthropomorphic AI, specifically chatbots, and their perceived warmth and competence. We conducted two experiments: Study 1 used AI-generated illustrations to present "young" and "old" chatbot personas, while Study 2 used realistic photos. Participants watched pre-recorded interactions with the chatbot "Dave" and evaluated its warmth and competence on a 9-point Likert scale. Data were collected through Prolific, ensuring a diverse sample. Study 1 found no significant differences in perceptions of warmth and competence between the young and old chatbot personas. However, Study 2 revealed that the younger persona was perceived as warmer than the older one, indicating that the realism of the chatbot's appearance affects stereotype activation. These results underscore the importance of aligning chatbot personas with user expectations to enhance trust and satisfaction.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent6
dc.format.extent367523
dc.identifier.doi10.5220/0013192700003956
dc.identifier.isbn978-989-758-748-1
dc.identifier.otherPURE: 106544426
dc.identifier.otherPURE UUID: 65bc53e2-34fc-45c7-aa35-0611131a193b
dc.identifier.otherORCID: /0000-0003-4418-9450/work/182885697
dc.identifier.otherORCID: /0000-0001-6523-0809/work/182886419
dc.identifier.urihttp://hdl.handle.net/10362/182608
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSciTePress - Science and Technology Publications
dc.subjectSCM
dc.subjectCASA
dc.subjectAI
dc.subjectchatbot
dc.subjectanthropomorphism
dc.subjectSDG 8 - Decent Work and Economic Growth
dc.subjectSDG 9 - Industry, Innovation, and Infrastructure
dc.titleBits and Biasesen
dc.title.subtitleExploring perceptions in human-like AI interactions using the Stereotype Content Modelen
dc.typeconference object
degois.publication.firstPage161
degois.publication.lastPage166
degois.publication.titleProceedings of the 7th International Conference on Finance, Economics, Management and IT Business
degois.publication.title7th International Conference on Finance, Economics, Management and IT Business
dspace.entity.typePublication
rcaap.rightsopenAccess

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