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CowPilot: A Framework for Autonomous and Human-Agent Collaborative Web Navigation
arXiv – CS AI|Faria Huq, Zora Zhiruo Wang, Frank F. Xu, Tianyue Ou, Shuyan Zhou, Jeffrey P. Bigham, Graham Neubig||4 views
🤖AI Summary
Researchers introduce CowPilot, a framework that combines autonomous AI agents with human collaboration for web navigation tasks. The system achieved 95% success rate while requiring humans to perform only 15.2% of total steps, demonstrating effective human-AI cooperation for complex web tasks.
Key Takeaways
- →CowPilot framework enables both autonomous and human-agent collaborative web navigation with high efficiency.
- →The collaborative mode achieved 95% success rate while humans only needed to perform 15.2% of total steps.
- →Users can pause, reject, or override agent suggestions while maintaining the ability to resume agent control.
- →Case studies across five common websites showed agents could drive up to half of task success independently.
- →The framework provides a foundation for research into effective human-AI collaboration patterns.
#ai-agents#human-ai-collaboration#web-navigation#automation#machine-learning#research#cowpilot#task-automation
Read Original →via arXiv – CS AI
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