SOURCE-LINKED INTELLIGENCE
Large-Scale User Behavior Analysis in Multimodal AI-Assisted Manual Task Execution
Conversational Task Assistants (CTAs) are multimodal dialogue systems that support users in complex real-world tasks such as cooking and DIY through voice, text, image, and video interactions. Prior user studies have focused on controlled settings, leaving limited understanding of real-world CTA usage at scale. In this work, we present a large-scale study of CTA usage based on thousands of users in-the-wild. Our large-scale real-world data analysis unveils new understandings of (i) user-CTA interaction flows, (ii) user intents, (iii) user conversational traits, and (iv) behavioral factors asso
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-07T15:06:21.000Z
First collected: 2026-09-20T20:32:20.942Z. This is not the publication date.