ACM CHI Paper Fit & Strategy Guide
Evaluates manuscript fit, evidence rigor, and submission framing for the ACM CHI Conference on Human Factors in Computing Systems.
Aligns academic manuscripts with the review standards of the ACM CHI Conference on Human Factors in Computing Systems (CHI). This skill guides researchers through contribution classification, empirical evidence verification, study design calibration, and desk-reject risk diagnosis. It ensures HCI submissions properly balance technical claims with human-centered evaluations, ethics reporting, and design implications, while providing intelligent re-routing recommendations to sibling venues like CSCW, UIST, DIS, and IUI.
主要功能
01Evaluates manuscript fit and HCI contribution type against ACM CHI review standards
02Provides smart routing comparison between CHI and sibling venues like CSCW, UIST, DIS, and IUI
03Diagnoses common desk-reject triggers including anonymity, formatting, and weak study framing
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05Identifies critical empirical gaps in user study design, participant reporting, and evaluation metrics
06Generates structured pre-submission readiness checklists and rebuttal posture advice
使用场景
01Reframing technical or system-heavy manuscripts into human-centered research narratives for CHI reviewers
02Deciding whether an interactive computing paper fits CHI better than specialized venues like CSCW, UIST, or DIS
03Conducting pre-submission audits on user studies, methodology reporting, and ethics disclosures