C. (Carolina) Ferreira Gomes Centeio Jorge
C. (Carolina) Ferreira Gomes Centeio Jorge
Contact
Profile
Carolina Centeio Jorge (pronunciation [kɐɾulˈinɐ] [sẽtˈɐju] [ʒˈɔɾʒɨ]) received her Master's in Informatics and Computing Engineering from the Faculty of Engineering of University of Porto (FEUP) in 2019. On the side, she also took part in research projects both at University of Porto and INESCTEC. Her Master thesis was done in collaboration with University of Twente and focused on Exceptional Behaviour Discovery, where she used data mining techniques to study patterns in social interactions. After graduating, Carolina took part in Vulcanus in Japan program, where she could experience a traineeship in Computer Vision and Deep Learning at Omron Sinic X Corp., in Tokyo, Japan. Since October 2020, Carolina is a PhD student at the Interactive Intelligence group of TU Delft. Her PhD has a special focus on mental models in the context of human‐AI teams, such as enabling artificial agents (e.g., robots) to understand and predict human teammates and effectively act accordingly. Carolina's main research interests lie in Behaviour Analysis and Pattern Recognition.
Expertise
Publications
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2024
Appropriate context-dependent artificial trust in human-machine teamwork
Carolina Centeio Jorge / Emma van Zoelen / Ruben Verhagen / Siddharth Mehrotra / Catholijn M. Jonker / Myrthe Tielman
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2024
How should an AI trust its human teammates? Exploring possible cues of artificial trust
C. Centeio Jorge / C.M. Jonker / M.L. Tielman
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2024
Integrity-based Explanations for Fostering Appropriate Trust in AI Agents
Siddharth Mehrotra / Carolina Centeio Jorge / Catholijn M. Jonker / Myrthe L. Tielman
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2023
Artificial Trust for Decision-Making in Human-AI Teamwork
Steps and Challenges
Carolina Centeio Jorge / Catholijn M. Jonker / Myrthe L. Tielman -
2023
Building Appropriate Trust in AI: The Significance of Integrity-Centered Explanations
S. Mehrotra / C. Centeio Jorge / C.M. Jonker / M.L. Tielman
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