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Cristina's research is at is at the intersection of Artificial Intelligence (AI), Human-Computer Interaction (HCI), and Cognitive Science, with the goal to create AI systems that can both perform useful tasks and be well accepted by their users. A key aspect of this endeavor is enabling AI systems to predict and monitor relevant properties of their users (e.g., states, skills, needs, emotions) and personalize the interaction accordingly, in a manner that maximizes both task performance as well user satisfaction. Toward this goal, Cristina is especially interested in investigating how to enable AI technology to strike the right balance between providing accurate predictions and decision-making while maintaining transparency, user control, and trust.
研究兴趣
论文共 230 篇作者统计合作学者相似作者
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arxiv(2024)
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PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, ICMI 2023 (2023): 104-113
HANDBOOK OF ARTIFICIAL INTELLIGENCE IN EDUCATION (2023): 101-125
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Proceedings of the ACM on Human-Computer Interactionno. ETRA (2023): 1-17
HANDBOOK OF ARTIFICIAL INTELLIGENCE IN EDUCATION (2023): 170-183
International Conference on Intelligent Virtual Agentspp.28:1-28:9, (2023)
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D-Core
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