Skill UI

Run local Lighthouse audits via CLI or Node API, parse JSON/HTML reports, enforce performance budgets, integrate with CI (Actions/LHCI), and compare builds to catch regressions before deploys.

NeuroKit2 is a Python biosignal processing toolkit for ECG, EEG, EDA, RSP, EMG, and EOG data that automates cleaning, feature extraction, and HRV/complexity analysis for psychophysiology, clinical, and HCI studies.

A comprehensive guide for authors targeting top Human-Computer Interaction (HCI) conferences like CHI. It helps authors position their manuscripts, define required contribution types (e.g., system, dataset, empirical finding), and structure the paper to meet the rigorous standards of human-centered computing reviewers, focusing on user experience and design implication.

A comprehensive guide for authors targeting the ACM Conference on Intelligent User Interfaces (IUI). This skill helps evaluate manuscript fit, refine scope, understand evidence requirements, and strategically position papers related to AI-infused interaction, adaptive systems, and user modeling for top-tier HCI venues.

A specialized guide for positioning academic manuscripts for the ACM MobileHCI conference. It helps authors refine their paper's focus, evidence structure, and narrative to match the unique requirements of mobile interaction, wearable interfaces, and on-device sensing. This tool acts as a fit/venue-selection tool, guiding the structuring of the contribution, evidence, and scope to meet top-tier conference standards.

This skill guides authors on positioning their research for the ACM International Conference on Tangible, Embedded, and Embodied Interaction (TEI). It functions as a venue-selection and re-framing tool, helping authors structure manuscripts (moving from general CS/journal style to a specialized tangible interaction narrative). It covers scope fit, evidence requirements, and distinguishing TEI from similar HCI conferences.

A comprehensive guide for authors writing the Related Work section of ACM Multimedia papers. It teaches how to position cross-modal contributions by covering diverse single-modality shelves (Vision, Audio, Language, HCI), tracing the cross-modal lineage, defining the specific cross-disciplinary novelty (delta), and adhering to academic hygiene standards like double-blinding and venue verification.

This guide outlines best practices for packaging research artifacts (prototypes, datasets, instruments, code) for academic review and permanent public release, particularly in HCI venues like CHI. It covers strategies for creating highly reviewable, anonymous submissions (e.g., claims maps, minimal demos) and establishing robust, licensed, permanent archives (e.g., DOIs, OSF), ensuring research reproducibility and auditability.

A comprehensive guide for academic researchers on designing, auditing, and reporting rigorous studies (experiments, field deployments, surveys, etc.) for Human-Computer Interaction (HCI) papers. It details best practices for quantitative power analysis, qualitative thematic analysis, ethical reporting, and mixed-methods integration to ensure research claims are strongly supported by evidence.

This guide details best practices for structuring and writing the "Related Work" section for top-tier Human-Computer Interaction (HCI) conferences like CHI. It emphasizes moving beyond mere literature inventory to actively positioning your contribution by identifying research gaps across various disciplinary lanes (e.g., Psychology, Design, HCI family). Following these guidelines is crucial for avoiding desk rejection due to insufficient contextualization.

A comprehensive guide detailing best practices for achieving research transparency and reproducibility, especially for HCI and related scientific studies. It outlines three critical layers of documentation—Protocol, Analysis, and Data—to ensure that studies can be reliably verified and built upon by the academic community.

A comprehensive audit checklist designed for authors preparing HCI papers for submission to ACM CHI. This guide verifies critical aspects such as single-column formatting, adherence to word-count norms (5,000–8,000 words), mandatory sub-committee designation, and strict anonymization protocols to prevent desk rejection before uploading to PCS.