Bits and Biases
| Main Author: | |
|---|---|
| Publication Date: | 2025 |
| Other Authors: | , , |
| Language: | eng |
| Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Download full: | http://hdl.handle.net/10362/182608 |
Summary: | Macieira, 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 |
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Bits and BiasesExploring perceptions in human-like AI interactions using the Stereotype Content ModelSCMCASAAIchatbotanthropomorphismSDG 8 - Decent Work and Economic GrowthSDG 9 - Industry, Innovation, and InfrastructureMacieira, 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/10.5220/0013192700003956In 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.SciTePress - Science and Technology PublicationsNOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNMacieira, Fernando Jorge FerreiraPinto, Diego CostaOliveira, TiagoYanaze, Mitsuru Higuchi2025-04-24T21:18:00Z2025-042025-04-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersion6application/pdfhttp://hdl.handle.net/10362/182608eng978-989-758-748-1PURE: 106544426https://doi.org/10.5220/0013192700003956info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-05-19T01:39:18Zoai:run.unl.pt:10362/182608Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T06:33:32.334050Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
Bits and Biases Exploring perceptions in human-like AI interactions using the Stereotype Content Model |
| title |
Bits and Biases |
| spellingShingle |
Bits and Biases Macieira, Fernando Jorge Ferreira SCM CASA AI chatbot anthropomorphism SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation, and Infrastructure |
| title_short |
Bits and Biases |
| title_full |
Bits and Biases |
| title_fullStr |
Bits and Biases |
| title_full_unstemmed |
Bits and Biases |
| title_sort |
Bits and Biases |
| author |
Macieira, Fernando Jorge Ferreira |
| author_facet |
Macieira, Fernando Jorge Ferreira Pinto, Diego Costa Oliveira, Tiago Yanaze, Mitsuru Higuchi |
| author_role |
author |
| author2 |
Pinto, Diego Costa Oliveira, Tiago Yanaze, Mitsuru Higuchi |
| author2_role |
author author author |
| dc.contributor.none.fl_str_mv |
NOVA Information Management School (NOVA IMS) Information Management Research Center (MagIC) - NOVA Information Management School RUN |
| dc.contributor.author.fl_str_mv |
Macieira, Fernando Jorge Ferreira Pinto, Diego Costa Oliveira, Tiago Yanaze, Mitsuru Higuchi |
| dc.subject.por.fl_str_mv |
SCM CASA AI chatbot anthropomorphism SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation, and Infrastructure |
| topic |
SCM CASA AI chatbot anthropomorphism SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation, and Infrastructure |
| description |
Macieira, 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 |
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2025 |
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2025-04-24T21:18:00Z 2025-04 2025-04-01T00:00:00Z |
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http://hdl.handle.net/10362/182608 |
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eng |
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978-989-758-748-1 PURE: 106544426 https://doi.org/10.5220/0013192700003956 |
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SciTePress - Science and Technology Publications |
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SciTePress - Science and Technology Publications |
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