# Towards Effective Human-AI Collaboration in GUI-Based Interactive Task Learning Agents

arXiv: https://arxiv.org/abs/2003.02622 · HTML: https://mlsanity.com/paper/2003.02622/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Mar 2020.

## Built on by (most cited first, 2 of 2)

- [Interactive Learning from Activity Description](https://mlsanity.com/paper/2102.07024/) (2021)
- [GUIDE: A Benchmark for Understanding and Assisting Users in Open-Ended GUI Tasks](https://mlsanity.com/paper/2603.25864/) (2026)

## Abstract (arXiv)

We argue that a key challenge in enabling usable and useful interactive task learning for intelligent agents is to facilitate effective Human-AI collaboration. We reflect on our past 5 years of efforts on designing, developing and studying the SUGILITE system, discuss the issues on incorporating recent advances in AI with HCI principles in mixed-initiative interactions and multi-modal interactions, and summarize the lessons we learned. Lastly, we identify several challenges and opportunities, and describe our ongoing work