research
Researchers model human intervention patterns to build more collaborative web agents
A new research paper introduces methods for predicting when humans will intervene in autonomous web agents by analyzing distinct interaction patterns. The work, which includes a dataset of 400 real-user web navigation trajectories with over 4,200 interleaved human-agent actions, shows that intervention-aware models improved agent usefulness by 26.5% in user studies.