Expecting Too Much, Getting Too Little
Our study examines applicants’ experiences with asynchronous AI interviewers and identifies opportunities for more transparent, supportive, and equitable systems.
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Sanorita Dey
Assistant Professor
Department of Computer Science and Electrical Engineering
University of Maryland, Baltimore County
sanorita@umbc.edu
Research Focus
My research lies at the intersection of human-centered AI, human–computer interaction, social computing, and the learning sciences. I study how people learn, reflect, make decisions, and collaborate with peers and intelligent systems, designing inclusive technologies that strengthen human understanding, participation, and agency.
Foundations
My earlier research examined how social platforms, persuasive technologies, online narratives, and community norms shape attitudes, behavior, and technology adoption. This work provides the foundation for my continuing research on social computing and responsible AI, particularly questions of trust, explanation, human judgment, and technology-mediated interaction.
Current Direction
My current work explores how AI can support learning, mentorship, career development, and collaborative sensemaking without diminishing human agency. I investigate how AI-assisted systems can encourage reflection, make reasoning and uncertainty visible, and expand access to educational and professional opportunities while remaining inclusive, explainable, and trustworthy.