CHI Paper Related Work Builder

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Structures and positions literature reviews for ACM CHI conference papers to prevent assisted desk-rejects across all five essential citation lanes.

The CHI Related Work skill helps researchers author robust, well-positioned literature reviews tailored for ACM CHI conference submissions. Addressing the primary ground for assisted desk-rejects (ADR-Context), this skill systematically evaluates citations across five core lanes: recent CHI cycles, sibling HCI venues (CSCW, UIST, DIS, TOCHI), foundational HCI classics, feeder disciplines (e.g., psychology, sociology, ML), and domain application areas. It guides authors through crafting front-gap-relevance paragraph structures, conducting comprehensive searches via ACM DL and Google Scholar, maintaining strict third-person anonymity for self-citations, and differentiating near-neighbors with intellectual precision rather than dismissive language.

Key Features

01Conducts five-lane literature audits covering recent CHI, sibling venues, classics, feeder fields, and application domains
02Ensures compliance with double-blind review conventions through clean third-person self-citation
03Transforms inventory-style summaries into robust, front-and-gap positioned paragraph structures
04Assesses paper risk against CHI assisted desk-reject criteria (ADR-Context and ADR-Contribution)
05Generates optimized search query recipes for ACM Digital Library, Google Scholar, and preprint sweeps
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Use Cases

01Drafting or restructuring the related work section for an ACM CHI or ACM SIGCHI conference submission
02Auditing existing literature reviews prior to final submission to eliminate desk-reject vulnerabilities
03Updating literature citations and framing near-neighbor differences during revision cycles (CHI round 2)