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 associated with user satisfaction. Our findings reveal key opportunities for future research in CTAs,...
| Authors | Rafael Ferreira, Diogo Tavares, Diogo Glória-Silva et al. |
|---|---|
| Primary category | cs.HC |
| Published | 7 September 2026 |
| Last updated at source | 7 September 2026 |
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