As Large Language Models (LLMs) increasingly mediate how users access, interpret, and generate information, interaction with these systems requires users to reason about both the information produced and the AI system itself. It remains underexplored how direct interaction with LLMs, rather than explicit instruction, s...
Iecarus Vizcaino Mendez, Hayden Shaffer, Aahil Shaikh et al.· Proceedings of the Human Fac...· 0 citations
This work presents an adaptive multimodal AI-driven tutoring system that infers learners’ states by interpreting real-time visual, auditory, and behavioral cues and illustrates the feasibility of integrating multimodal cues to enable adaptive instructional feedback and engagement-aware intervention in online learning c...
Jaewon Jung, Aahil Shaikh, J. Shaughnessy et al.· Proceedings of the Human Fac...· 0 citations
Visual impairments affect upwards of 2.2 billion people worldwide. As AI systems increasingly support navigation for people with visual impairments, how uncertainty is communicated becomes critical. Prior work shows that communicating uncertainty can improve trust calibration and decision-making, yet it remains underex...
Hayden Shaffer, Aahil Shaikh, He Zhang et al.· Proceedings of the Human Fac...· 0 citations
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