Ilias Fykouras

Papers

Total Citations

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About

Ilias Fykouras explores the fascinating intersection of human-computer interaction and machine learning, with a particular focus on how humans teach computers through example-based interaction. His most-cited work, "Examples as Interaction: On Humans Teaching a Computer to Play a Game" (2010, 5 citations), investigates the dynamics of human-to-computer teaching in the context of strategy board games. This research demonstrates that while individually learned models can improve a computer's playing performance, the process reveals deeper insights into the nuances of human instruction and algorithmic learning. Fykouras's work contributes to understanding how non-expert users can effectively train AI systems through natural interaction, a topic with growing relevance in today's AI-driven world. His research bridges cognitive science and computational learning, offering valuable perspectives on designing more intuitive human-AI interfaces. Though his citation count remains modest, his work on interactive machine learning represents an important early contribution to a field that has since become central to modern AI development.