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This tool models and optimizes user tasks based on real-world behaviors. It transforms individual task models into unified, constraint-driven representations, using examples like Wordle to demonstrate its effectiveness. The tool visualizes task flows for better design and efficiency.
This repository contains the data and experimental code accompanying the paper Lüdemann, R., Schulz, A., & Kuhl, U. (2024). Generation Gap or Diffusion Trap? How Age Affects the Detection of Personalized AI-Generated Images. 8th International Conference on Computer-Human Interaction Research and Applications, CHIRA 2024, Porto, Portugal.(Accepted)