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New system Motif passively discovers and automates user web workflows

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Motif, a system designed to passively observe user web activity and identify recurring, automatable interaction patterns. Unlike previous methods that require users to explicitly know what to automate, Motif discovers these patterns ambiently and suggests program generation for user confirmation. A study involving eight participants found that Motif discovered more automatable patterns than users recognized, with most patterns matching user routines and proving useful, leading participants to express a desire for continued use of the generated programs. AI

IMPACT This system could streamline personal productivity by automating repetitive web tasks, making AI agents more accessible to non-technical users.

RANK_REASON The item is a research paper detailing a new system for automating web workflows. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New system Motif passively discovers and automates user web workflows

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The item is a research paper detailing a new system for automating web workflows. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Shaokang Jiang, Daye Nam ·

    Motif: Discovering and Automating Personal Web Workflows

    arXiv:2607.10531v1 Announce Type: cross Abstract: Recent advances in LLMs and existing work on programming by demonstration have made it possible for end users to create automations by explicitly demonstrating their behavior to LLMs. However, these approaches rely on the assumpti…

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