
Dr. Jaye Nias
My Research
Human-Centered AI & Responsible AI
My research examines how AI systems can better support human understanding, decision-making, and trust. I develop methods for evaluating AI beyond accuracy, including comprehension, uncertainty, transparency, and alignment with human needs. This work spans both everyday and high-stakes contexts, including educational and operational environments.
Human-AI Teaming & Decision Support
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LLM Forensic Evaluation: Diagnosing Actionability, Uncertainty, and Human Comprehension in High-Stakes Outputs [Paper]
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Symbolic Mediation of Language-Based Decision Support in Tactical Contexts [Paper]
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Evaluating Generative Image Expansion for Long-Range Maritime Vision Tasks [Paper]
AI Evaluation & Cultural Alignment
Conversational Interfaces & Interactive Systems
I design and evaluate interactive technologies that support communication, learning, mentoring, and cultural engagement. This work includes conversational agents, voice interfaces, robotics, gesture interaction, and educational technologies.
Conversational Agents & Mentoring Systems
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CultureBot: A Culturally Relevant Humanoid Robotic Dialogue Agent [Paper]
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Developing a Question Corpus for a Conversational Agent Designed to Prepare Interested Black Undergraduates for the Professoriate in STEM [Paper]
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StoryFile Conversational Agent Research [Clarence Jones Project]
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Considerations of Voice Design for Cross-Cultural Robotic Identity [Paper]
Interaction Design & Mobile Computing
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Guessability as an ethnographic study of mobile technology usage in Kenya [Paper]
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Towards designing adaptive touch-based interfaces [Paper]
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Towards Capturing Learners Sentiment and Context [Paper]
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Children (and Adults) Benefit From Visual Feedback During Gesture Interaction on Mobile Touchscreen Devices [Chapter]
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Interaction and recognition challenges in interpreting children's touch and gesture input on mobile devices [Paper]
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Designing smarter touch-based interfaces for educational contexts [Paper]
Computing Education & Workforce Development
I design educational experiences that prepare diverse learners to participate in computing and AI while connecting technical skill development to identity, culture, and social impact. My work includes curriculum development, undergraduate research training, mentorship, and workforce preparation initiatives.
Culturally Responsive Computing Education
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AfroComputation in Action: Building a Culturally Fluent AAVE Sentiment Lexicon [Paper]
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Imagine a Future Rooted in Culture: Exploring Afrofuturism in Computing Education at HBCUs [Paper]
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Educational Programming Practices that Inspire Change [Paper]
Research Training & Workforce Development
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Training HBCU Undergraduates in Human-Centered AI Research [In Publication]
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Moving Toward a Responsible CS Curriculum: Every Course Has a Role to Play [Abstract]
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EvergreenLP: Using a social network as a learning platform [Paper]
Socio-Technical & Emerging Technologies
This research explores the relationships among technology, culture, identity, and society. I investigate how emerging technologies can better reflect diverse knowledge systems, cultural practices, and ways of knowing while examining their broader societal implications.
Cultural AI & Knowledge Systems
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CARE: Culturally Aligned AI for Reflective Creativity Through Adinkra Semiotic Knowledge [Paper]
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Adinkra Symbols through Generative AI: A Semiotic Analysis of Emoji-Based Translation [In Publication]
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From Àṣẹ to Ashe: Designing for Layered Meaning in Diasporic Knowledge Systems [Paper]
Speculative Design & Black Futures
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Subversive: BioFashion for Black Lives [Paper]
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Lineage and Legacy: The Global Importance of Black Women in Computing Education Research [Paper]