ACM IUI Paper Submission & Fit Guide
Evaluates manuscript fit, reframes research narratives, and identifies evidence gaps for the ACM Conference on Intelligent User Interfaces (IUI).
Designed specifically for researchers targeting the ACM Conference on Intelligent User Interfaces (IUI), this skill guides authors through venue-specific framing, empirical requirements, and review expectations. It helps ensure papers properly balance AI model behavior with rigorous user experience evaluations, identifies desk-reject risks, cross-checks submission cycle requirements, and provides intelligent re-routing recommendations to sibling venues like CHI, CSCW, and MobileHCI.
主要功能
01Provides smart re-routing suggestions to related venues like CHI, MobileHCI, and UbiComp
02Evaluates manuscript scope against ACM IUI core topics like adaptive UIs and explainable AI
03Identifies common desk-reject risks, formatting traps, and anonymity violations
04Generates structured fit assessments with gap analysis and pre-submission checklists
05Assesses joint technical and empirical evidence requirements for human-AI interaction
061,074 GitHub stars
使用场景
01Reframing an arXiv preprint or journal manuscript into an ACM IUI conference paper
02Assessing whether a paper's evaluation meets the joint AI-and-UX evidence standard for IUI
03Deciding between submitting to ACM IUI versus sibling conferences like CHI, RecSys, or MobileHCI