Skill UI

This skill guides authors in determining the suitability of their manuscripts for the journal Genome Biology. It details the journal's scope, which requires integrating large-scale genomic or epigenomic data with novel computational methods or statistical frameworks. It emphasizes that successful submissions must provide both methodological advances and meaningful biological insights, adhering strictly to standards like open-source code, public data deposition (GEO, SRA, ENCODE), and rigorous benchmarking.

This comprehensive guide outlines the process for packaging artifacts from Human-Robot Interaction (HRI) research. Recognizing that HRI artifacts are complex, involving human subjects, robot behaviors, and extensive study materials, this skill provides guidelines for honest, ethical, and reproducible dissemination. It covers structuring de-identified data, analysis code, and behavioral specifications while adhering to participant consent and academic archiving standards.

This guide provides comprehensive methodological standards for conducting high-quality human-subjects studies in Human-Robot Interaction (HRI). It covers the entire research lifecycle, including choosing optimal designs (within/between-subjects), ensuring statistical power, reporting effect sizes, and adhering to ethical guidelines (e.g., Wizard-of-Oz disclosure). It ensures research meets the rigorous academic standards required for top-tier publications.

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.

This guide details the necessary steps for achieving and reporting reproducibility in Human-Robot Interaction (HRI) studies. Since HRI involves unique elements like human participants and physical environments, reproducibility focuses on making the study protocol, robot behavior specifications, analysis code, and de-identified data transparent. Learn how to properly assemble a comprehensive replication package and ethically disclose limitations to enhance academic credibility in top-tier HRI publications.

A comprehensive guide for structuring Human-Robot Interaction (HRI) conference submissions. It outlines the critical distinction between core, decision-making content (which must remain in the 8-page body) and supplementary materials (e.g., extended tables, instruments, codebooks). Special emphasis is placed on treating the video figure as a primary artifact, ensuring it is short, legible, and properly anonymized for double-blind review.

This comprehensive guide helps authors navigate the complex decision of where to submit their Human-Robot Interaction (HRI) research. It outlines critical criteria, including the robot-embodiment and human-in-the-loop tests, to determine the correct venue (e.g., HRI, CHI, ICRA/IROS). Furthermore, it details the five specialized tracks within HRI and advises authors on matching their primary technical contribution to the most suitable academic domain.

A comprehensive guide for structuring and writing rigorous, interdisciplinary Human-Robot Interaction (HRI) papers for top-tier academic venues. This skill emphasizes leading with the human-robot interaction problem, explicitly defining the research gap, stating hypotheses, and ensuring that claims are proportional to the evidence, all while adhering to strict academic page budgets.

This guide assists authors in late-stage polishing of manuscripts intended for Human Resource Management (HRM) journals. It focuses on establishing a 'dual-audience voice' that simultaneously satisfies scholarly rigor and practical applicability. Learn how to structure the abstract and introduction to clearly present both the theoretical advance and the actionable, real-world takeaway for HR practitioners.

This guide helps structure, audit, and refine the exhibits (tables and figures) for academic manuscripts, particularly in Human Relations. It ensures that the inference path from raw data to theoretical claims is visible. It covers best practices for both qualitative exhibits (data-structure models, evidence tables) and quantitative exhibits (regression models, interaction plots), while adhering to submission constraints like anonymization and word limits.

This comprehensive router guides authors through the entire writing and revision lifecycle for submissions to Human Relations (HR). It diagnoses common academic bottlenecks—from topic selection and theoretical development to data analysis and rebuttal strategies—ensuring the manuscript meets the rigorous interdisciplinary standards of the journal. It acts as a navigational map, suggesting the optimal sequence of specialized skills.

This guide provides structural best practices for writing highly technical academic papers, particularly for top-tier conferences. It teaches authors how to critically distinguish between the core material that must be visible in the main body (for the referee to follow and judge) and the auxiliary details, complete proofs, or routine calculations that can be safely deferred to an appendix. Following this structure prevents common writing pitfalls, such as 'hollow bodies,' ensuring the paper is both highly readable and technically rigorous.