JERAJournal of Electronic Research and Application2208-35022208-3510Bio-Byword Scientific Publishing Pty. Ltd.10.26689/jera.v10i2.14333ArticleConstructing and Validating an AI-Driven Framework for Dynamic Group Cognition via TLDrawhttps://artdesignp.com/journal/JERA/10/2/10.26689/jera.v10i2.14333ZhuXiaoyun20261022026-03-31Remote and hybrid teams increasingly rely on shared whiteboards and video conferencing, while generative AI copilots can support ideation and maintain common ground. Prior research has mostly focused on document-centric co-authoring or chat-style assistants, with little exploration of AI that “sees” both talk and sketches in privacy-preserving, low-latency settings. We present Remote TLDraw Collaboration, a real-time whiteboard integrating TLDraw with AI-assisted diagramming, multi-user presence, and built-in video chat. The embedded AI bot can perform lightweight speech-to-text and topic detection, batching updates to reduce latency. In a within-subjects study (n = 6, three groups), AI increased artefact output in one scenario and accelerated convergence in another. Results indicate that minimally disruptive, explainable AI can lower cognitive load without harming usability, adapting its support to team goals.

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