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Add appendix on AI-assisted development workflow for HRIStudio

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This commit introduces a new appendix detailing the role of AI coding assistants in the development of HRIStudio. It covers the context of the project, tools used, division of responsibility, interaction patterns, and reflections on research integrity. The workflow is documented to provide transparency and insight into the development process, emphasizing the collaboration between human decisions and AI assistance.
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Sean O'Connor
2026-04-20 23:15:23 -04:00
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thesis/chapters/02_background.tex
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This chapter provides the necessary context for understanding the challenges addressed by this thesis. I survey the landscape of existing WoZ platforms, analyze their capabilities and limitations, and establish requirements that a modern infrastructure should satisfy. Finally, I position this thesis within the context of prior work on this topic.
As established in Chapter~\ref{ch:intro}, the WoZ technique enables researchers to prototype and test robot interaction designs before autonomous capabilities are developed. This thesis is situated within a specific subset of HRI activity: social robotics, a subfield concerned with robots designed for direct social interaction with humans, and more narrowly within that, WoZ experiments used to prototype and evaluate social robot behaviors. To understand how the proposed framework advances this research paradigm, I review the existing landscape of WoZ platforms, identify their limitations relative to disciplinary needs, and establish requirements for a more comprehensive approach. HRI is fundamentally a multidisciplinary field which brings together engineers, psychologists, designers, and domain experts from various application areas \cite{Bartneck2024}. Yet two challenges have historically limited participation from non-technical researchers in WoZ-based HRI studies. First, each research group builds custom software for specific robots, creating tool fragmentation across the field. Second, high technical barriers prevent many domain experts from conducting independent studies.
As established in Chapter~\ref{ch:intro}, the WoZ technique enables researchers to prototype and test robot interaction designs before autonomous capabilities are developed. This thesis is situated within a specific subset of HRI activity: social robotics, a subfield concerned with robots designed for direct social interaction with humans, and more narrowly within that, WoZ experiments used to prototype and evaluate social robot behaviors. To understand how the proposed framework advances this research paradigm, I review the existing landscape of WoZ platforms, identify their limitations relative to disciplinary needs, and establish requirements for a more comprehensive approach. HRI is fundamentally a multidisciplinary field which brings together engineers, psychologists, designers, and domain experts from various application areas \cite{Bartneck2024}. Yet two challenges have historically limited participation from non-technical researchers in WoZ-based HRI studies. First, high technical barriers prevent many domain experts from conducting independent studies. Second, each research group builds custom software for specific robots, creating tool fragmentation across the field.
\section{Existing WoZ Platforms and Tools}