From Intention to Text: AI-Supported Goal Setting in Academic Writing

April 17, 2026 ยท Grace Period ยท ๐Ÿ› AIED 2026

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Authors Yueling Fan, Richard Lee Davis, Olga Viberg arXiv ID 2604.15800 Category cs.HC: Human-Computer Interaction Cross-listed cs.AI, cs.CL Citations 0 Venue AIED 2026
Abstract
This study presents WriteFlow, an AI voice-based writing assistant designed to support reflective academic writing through goal-oriented interaction. Academic writing involves iterative reflection and evolving goal regulation, yet prior research and a formative study with 17 participants show that writers often struggle to articulate and manage changing goals. While commonly used AI writing tools emphasize efficiency, they offer limited support for metacognition and writer agency. WriteFlow frames AI interaction as a dialogic space for ongoing goal articulation, monitoring, and negotiation grounded in writers' intentions. Findings from a Wizard-of-Oz study with 12 expert users show that WriteFlow scaffolds metacognitive regulation and reflection-in-action by supporting iterative goal refinement, maintaining goal-text alignment during drafting, and prompting evaluation of goal fulfillment. We discuss design implications for AI writing systems that prioritize reflective dialogue, flexible goal structures, and multi-perspective feedback to support intentional and agentic writing.
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