Paper Detail
Wanying Mo, Jijia Lai, Xiaoming Wang
Browser agents built on LLMs can act in web interfaces, yet most remain confined to a single chat surface (e.g., a sidebar). This mismatch with real browsing can increase context-switching and reduce user control. We introduce \textbf{IntentWeave}, a design space of ten spatial paradigms for embedding agentic assistance across a browser, organized as a progressive entry ladder from micro-interventions to dedicated workspaces. We implement IntentWeave as a browser-extension prototype on the Alibaba Cloud website and compare three entry strategies in a within-subjects study (N=16). Workspace-heavy strategies reduced completion time but lowered perceived control; micro-only strategies preserved control but were often insufficient; a mixed sidecar approach achieved the highest satisfaction. We conclude with guidance for escalating and retreating agent surfaces without disrupting user agency.
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@article{mo2026intentweave,
title = {IntentWeave: A Progressive Entry Ladder for Multi-Surface Browser Agents in Cloud Portals},
author = {Wanying Mo and Jijia Lai and Xiaoming Wang},
year = {2026},
abstract = {Browser agents built on LLMs can act in web interfaces, yet most remain confined to a single chat surface (e.g., a sidebar). This mismatch with real browsing can increase context-switching and reduce user control. We introduce \textbackslash{}textbf\{IntentWeave\}, a design space of ten spatial paradigms for embedding agentic assistance across a browser, organized as a progressive entry ladder from micro-interventions to dedicated workspaces. We implement IntentWeave as a browser-extension prototype on the Aliba},
url = {https://arxiv.org/abs/2603.22917},
keywords = {cs.HC},
eprint = {2603.22917},
archiveprefix = {arXiv},
}
{}