HRI Experiment Design & Audit

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Guides the design, statistical power analysis, and ethical reporting of human-subjects studies for ACM and IEEE Human-Robot Interaction papers.

HRI Experiments is a specialized skill for robotics and human-computer interaction researchers preparing submissions for top ACM/IEEE HRI conferences and journals. It assists in architecting rigorous human-subjects study designs (between-subjects, within-subjects, or mixed), defining transparent Wizard-of-Oz protocols, powering sample sizes, and selecting validated psychometric scales. By auditing manuscripts against common reviewer anti-patterns—such as missing manipulation checks, uncorrected multiple testing, or overlooked ACM ethics declarations—this skill helps researchers elevate technical robot behaviors into publishable, methodologically airtight experimental papers.

Key Features

01Guides sample size power calculations, effect size metrics, and statistical corrections
02Evaluates study design alignment between research claims and empirical evidence
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04Recommends validated psychometric scales and robust manipulation check structures
05Provides transparency standards and constraint checklists for Wizard-of-Oz protocols
06Ensures compliance with ACM human-participant ethics, IRB approvals, and debriefing standards

Use Cases

01Auditing an ACM/IEEE HRI paper draft before submission to identify methodology gaps
02Standardizing Wizard-of-Oz robot teleoperation protocols and reporting transparency
03Designing a high-power between- or within-subjects human-robot user study from scratch