Skill UI

This guide teaches authors how to strategically position their human-computer interaction (HCI) research for top-tier conferences like CHI. It covers identifying the core contribution type (e.g., theory, empirical study, system artifact), determining the most suitable venue (e.g., UIST, CSCW, DIS), and selecting the appropriate reviewing subcommittees to maximize acceptance chances and impact.

A comprehensive guide for drafting and revising academic papers for the ACM CHI conference. It provides detailed instructions on structuring explicit contribution statements, calibrating claims, ethically handling participant quotes, and ensuring accessibility for mixed-expertise review juries. Essential for those submitting research in HCI and related fields.

This guide provides expert advice on crafting the "Related Work" section for academic submissions, particularly those targeting CSCW. It details how to successfully integrate four distinct literatures (CSCW lineage, PACMHCI work, neighboring venues, and source disciplines), ensuring citations are era-correct, arguments are contestable, and the review process is navigated rigorously.

This guide provides comprehensive standards for achieving auditability and transparency in Computer-Supported Cooperative Work (CSCW) research. It teaches researchers how to document non-shareable evidence, such as field interviews, log traces, and system deployments, by focusing on detailed analysis trails, decision logs, and rigorous process documentation, thus strengthening academic rigor.

This guide provides best practices for authors writing the "Related Work" section for interdisciplinary AI conferences. It teaches how to precisely position novelty across multiple domains—including ML fairness, law, HCI, and critical theory—by writing delta-first contrasts and properly attributing borrowed concepts to their original academic source.

A comprehensive guide for structuring the related work section in interdisciplinary HRI papers. It teaches authors how to simultaneously situate their research across multiple literatures—including robotics, HCI, psychology, and design—while employing a 'delta-first' argument to clearly articulate novelty and maintaining double-blind review compliance.

A comprehensive guide for structuring the 'Related Work' section for top-tier HCI conferences (e.g., UIST). This document emphasizes that the section must function as a novelty proof, not a literature survey. It teaches authors to organize content by capability delta, utilize detailed comparison tables, and trace three critical lineages: technique, toolkit, and commercial practice, ensuring the work's unique contribution is clearly established.

A comprehensive guide for researchers determining if their Human-Computer Interaction (HCI) project contribution is an 'interface artifact' suitable for UIST, or if it belongs to a different venue like CHI or CSCW. It employs the 'artifact-subtraction test' to distinguish between technical system novelty and empirical user findings, ensuring proper conference submission routing.

A comprehensive guide for authors submitting to top-tier visualization venues (like IEEE VIS/TVCG). It teaches authors how to write the 'Related Work' section by adopting a 'delta-first' contrast approach, demonstrating novelty by clearly positioning the new work against prior art across multiple adjacent domains, including HCI, Graphics, and other regional visualization venues.

This guide helps researchers determine if their project qualifies as a visualization contribution (beyond general HCI or ML). It provides structured criteria for choosing the best conference venue (e.g., IEEE VIS, EuroVis, CHI) and mapping the work to one of the six core visualization areas based on contribution type and evidence maturity.