ERC Advanced Grant · 2023
PROBLEM: Despite decades of research on human-computer interaction (HCI), the problem of how to predict human performance with a given user interface (UI) is unsolved. Existing computational models are limited in scope or require large datasets or expert input. Instead, empirical methods are used that are costly and error-prone. OBJECTIVE: This project establishes the foundations of simulation intelligence in HCI through computational rationality. Given a design and a task environment, a simulator generates human-like moment-to-moment behavior autonomously, from which key metrics can be computed, i.e. for learning, performance, and ergonomics. ”Artificial users” can be commanded using…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.