HRI Research Reproducibility
Builds transparent reproducibility and open-science packages for ACM and IEEE Human-Robot Interaction (HRI) papers.
Designed for human-robot interaction researchers preparing submissions for ACM/IEEE HRI and related venues, this skill establishes robust open-science standards by packaging study protocols, robot-behavior specifications, Wizard-of-Oz operational logs, de-identified data, and reproducible analysis scripts. It helps authors clearly demarcate reproducible procedural stimuli from non-replicable human behavioral variance, satisfy double-blind review anonymization rules, and eliminate reviewer concerns around human-subjects data sharing and transparency.
Key Features
01Ensures double-blind review compliance and repository anonymization for DOI archives
02Guides structured documentation for Wizard-of-Oz (WoZ) action spaces and operational logs
03Audits human-subjects data de-identification, video blurring, and consent compliance
04Standardizes HRI replication packages including stimuli, scripts, questionnaires, and codebooks
051,079 GitHub stars
06Verifies end-to-end analysis script reproducibility with pinned dependencies and seeds
Use Cases
01Preparing open-science replication packages for ACM/IEEE HRI conference submissions
02Documenting Wizard-of-Oz protocols and autonomous robot behavioral baselines for peer review
03Auditing statistical scripts and de-identified study datasets prior to camera-ready publication