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# Tada! 🎉

Tada is a platform that allows us to quickly test interaction ideas on the following thesis: our *future* models will deeply know our contexts and who we are---so well that they'll be able to _predict_ what we'll do next.

You might be here to test out our first interaction:

## Tabracadabra 🎩

Visit the site: **https://generalusermodels.github.io/tada/**

Download the latest release [here](https://github.com/GeneralUserModels/tada/releases).

## Developer Instructions

### Local install

Make sure you have uv installed first. All you have to do then is:

```
git clone git@github.com:GeneralUserModels/tada.git
cd tada
npm install 
npm run dev
```

## Research

Tada 🎉 builds on research across a few academic papers. If you're interested, you can read or cite the papers below!

<details>
<summary><a href="https://arxiv.org/abs/2505.10831">Creating General User Models from Computer Use</a></summary>

```bibtex
@inproceedings{shaikh2025creating,
  title={Creating general user models from computer use},
  author={Shaikh, Omar and Sapkota, Shardul and Rizvi, Shan and Horvitz, Eric and Park, Joon Sung and Yang, Diyi and Bernstein, Michael S},
  booktitle={Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology},
  pages={1--23},
  year={2025}
}
```
</details>

<details>
<summary><a href="https://arxiv.org/abs/2603.05923">Learning Next Action Predictors from Human-Computer Interaction</a></summary>

```bibtex
@article{shaikh2026learning,
  title={Learning Next Action Predictors from Human-Computer Interaction},
  author={Shaikh, Omar and Teutschbein, Valentin and Gandhi, Kanishk and Chi, Yikun and Haber, Nick and Robinson, Thomas and Ram, Nilam and Reeves, Byron and Yang, Sherry and Bernstein, Michael S and others},
  journal={arXiv preprint arXiv:2603.05923},
  year={2026}
}
```
</details>

<details>
<summary><a href="https://arxiv.org/abs/2510.14591">Just-In-Time Objectives: A General Approach for Specialized AI Interactions</a></summary>

```bibtex
@article{lam2025just,
  title={Just-In-Time Objectives: A General Approach for Specialized AI Interactions},
  author={Lam, Michelle S and Shaikh, Omar and Xu, Hallie and Guo, Alice and Yang, Diyi and Heer, Jeffrey and Landay, James A and Bernstein, Michael S},
  journal={arXiv preprint arXiv:2510.14591},
  year={2025}
}
```
</details>

<details>
<summary><a href="https://arxiv.org/abs/2604.07629">Behavior Latticing: Inferring User Motivations from Unstructured Interactions
</a></summary>

```bibtex
@article{zhao2026behavior,
  title={Behavior Latticing: Inferring User Motivations from Unstructured Interactions},
  author={Zhao, Dora and Lam, Michelle S and Yang, Diyi and Bernstein, Michael S},
  journal={arXiv preprint arXiv:2604.07629},
  year={2026}
}
```
</details>

<details>
<summary><a href="https://arxiv.org/abs/2605.00497">"What Are You Really Trying to Do?": Co-Creating Life Goals from Everyday Computer Use</a></summary>

```bibtex
@misc{sapkota2026whatreallytryingdo,
      title={"What Are You Really Trying to Do?": Co-Creating Life Goals from Everyday Computer Use}, 
      author={Shardul Sapkota and Matthew Jörke and Zane Sabbagh and Omar Shaikh and Grace Wang and James A. Landay},
      year={2026},
      eprint={2605.00497},
      archivePrefix={arXiv},
      primaryClass={cs.HC},
      url={https://arxiv.org/abs/2605.00497}, 
}
```
</details>

<details>
<summary><a href="https://arxiv.org/abs/2601.04436">Learning to Simulate Human Dialogue</a></summary>

```bibtex
@article{gandhi2026learning,
  title={Learning to Simulate Human Dialogue},
  author={Gandhi, Kanishk and Bhatia, Agam and Goodman, Noah D},
  journal={arXiv preprint arXiv:2601.04436},
  year={2026}
}
```
</details>

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