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WebSeek: Facilitating Proactive and Reactive Guidance for Decision Making on the Web

Yanwei Huang, Arpit Narechania

ACM CHI · 2026

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Teaser for WebSeek: Facilitating Proactive and Reactive Guidance for Decision Making on the Web

Abstract

We present WebSeek, a mixed-initiative browser extension that enables users to discover and extract information from webpages to flexibly build, transform, and refine tangible data artifacts—such as tables, lists, and visualizations—within an interactive canvas, with proactive and reactive AI guidance.

Citation

@inproceedings{huang2026webseek,
  author = {Huang, Yanwei and Narechania, Arpit},
  title = {{WebSeek: Facilitating Proactive and Reactive Guidance for Decision Making on the Web}},
  booktitle = {Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems},
  year = {2026},
  publisher = {ACM},
  pages = {1--20},
  doi = {10.1145/3772318.3791945}
}