Abstracting Cross-Domain Action Sequences into Interpretable Workflows

Every click, tab switch, and file save is a data point — but raw interaction logs are too noisy and granular to reveal how people actually work. WorkflowView uses large language models to convert low-level behavioral logs into high-level activity descriptions, achieving strong semantic accuracy in a zero-shot setting. Tested across browser logs, online learning platforms, and Microsoft Word usage data, it demonstrates broad generalizability. Applications span UX research and product improvement, adaptive learning platforms that detect struggling students early, enterprise productivity analytics, and privacy-preserving behavioral analysis. It offers a scalable alternative to manual log annotation for understanding how people interact with digital tools. Authors: Gaurav Verma, Scott Counts Paper: https://arxiv.org/abs/2606.14654v1