Papers for

academic writing teams

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

LogicTree helps structure academic writing with AI assistance

LogicTree: Object-Oriented Writing for Structured Human-AI Academic Authoring

Abstract: Academic writing is non-linear, iterative, and structure-driven, requiring authors to develop fragmented ideas into arguments with local coherence and global consistency. However, current AI-assisted tools primarily exchange linear prompts and free-form text, forcing authors to reconstruct generated logic and repeatedly verify its alignment with their structural intentions. We propose object-oriented writing (OOW), an OOD-inspired representation and interaction paradigm in which persistent writing objects serve as shared, manipulable referents for authors and AI. We instantiate OOW in LogicTree, an Overleaf-integrated prototype that combines a hierarchical object representation with a structure-grounded writing assistance module for author-initiated generation and issue-grounded revision and a structural logical review module for inspecting local coherence and global consistency. A within-subjects study (N=12) provides initial evidence that, in controlled academic writing tasks, LogicTree helps users structure ideas, reduces workload, and improves measured logical quality compared with a conversational baseline.

Wed 28 OctHuman-Computer Interaction

The gist

Writing academic papers is complicated because ideas need to be organized clearly and linked logically. Current AI tools just handle text linearly, which makes it hard to keep writing well structured. The authors created LogicTree, a tool that treats parts of writing like objects you can move and fix easily, helping both writers and AI work together better. Their tests showed LogicTree helped people organize ideas, feel less tired, and write with better logic than other AI helpers.

Open → 2610.38136v1