Date of Thesis
Spring 2026
Description
The Wizard-of-Oz (WoZ) technique is widely used in Human-Robot Interaction (HRI) research, but two persistent problems limit its effectiveness: existing tools impose technical barriers that exclude non-engineering domain experts (the Accessibility Problem), and the fragmented landscape of robot-specific implementations makes interaction scripts difficult to port across platforms (the Reproducibility Problem- concerning execution consistency and portability, not third-party replication). Through a literature review, I identified three design principles to address both: a hierarchical specification model, an event-driven execution model, and a plugin architecture that decouples experiment logic from robot-specific implementations. I realized these principles in HRIStudio, an open-source, web-based platform providing a visual experiment designer, a guided wizard execution interface, automated timestamped logging with deviation tracking, and role-based access control. I evaluated HRIStudio in a pilot between-subjects study (N=6) against Choregraphe, the standard programming tool for the NAO robot. HRIStudio wizards achieved higher design fidelity, execution reliability, and perceived usability across all six sessions; the only unprompted specification deviation in the dataset occurred in the Choregraphe condition. While the pilot scale precludes inferential claims, the directional evidence across all measures supports the position that a tool built to realize the identified design principles can have significant impact on accessibility and reproducibility in WoZ-based HRI research.
Keywords
Robotics, NAO, Humanoid Robotics, Human-Robot Interaction
Access Type
Honors Thesis
Degree Type
Bachelor of Science
Major
Computer Science & Engineering
First Advisor
L. Felipe Perrone
Second Advisor
Brian King
Recommended Citation
O'Connor, Sean, "A Web-Based Wizard-of-Oz Platform for Collaborative and Reproducible Human-Robot Interaction Research" (2026). Honors Theses. 747.
https://digitalcommons.bucknell.edu/honors_theses/747
Included in
Artificial Intelligence and Robotics Commons, Graphics and Human Computer Interfaces Commons, Robotics Commons, Software Engineering Commons
