Augmenting Human Cognition with an AI-Mediated Intelligent Visual Feedback, CHI 2023

This is an open-source repository that includes both codes and dataset in our paper: Augmenting Human Cognition with an AI-Mediated Intelligent Visual Feedback, which is accepted by CHI 2023.

Raw Dataset

• When order = 0 and task = 0, the session is control session with no feedback for both RL and Random group.
• When order = 0 and task = 1, the session is feedback session, controlled by corresponding group.
• When order = 1 and task = 0, the session is feedback session, controlled by corresponding group.
• When order = 1 and task = 1, the session is control session with no feedback for both RL and Random group.

Please cite us if you find this repo is useful

@inproceedings{xu2023augmenting,
  title={Augmenting Human Cognition with an AI-Mediated Intelligent Visual Feedback},
  author={Xu, Songlin and Zhang, Xinyu},
  booktitle={Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems},
  pages={1--16},
  year={2023}
}