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Lessons Learned About Designing and Conducting Studies From HRI Experts.

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  • 1Intergroup Human-Robot Interaction (iHRI) Lab, Department of Psychology, New Mexico State University, Las Cruces, NM, United States.

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Summary
This summary is machine-generated.

A virtual workshop improved human-robot interaction (HRI) research methods by connecting participants with expert mentors. Lessons learned offer practical guidance for study design, participant interaction, and interdisciplinary collaboration in HRI.

Keywords:
human-robot interactionmethodologyqualitativequantitativereplicationreproducibilityresearchstatistics

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Area of Science:

  • Human-Robot Interaction (HRI)
  • Research Methodology
  • Interdisciplinary Studies

Background:

  • Human-Robot Interaction (HRI) research demands expertise across diverse fields like computer science, psychology, and engineering.
  • Researchers often face challenges in mastering methodological skills outside their primary expertise.
  • A gap exists in accessible, practical guidance for developing robust HRI study designs.

Purpose of the Study:

  • To enhance methodological skills among Human-Robot Interaction (HRI) researchers through a virtual workshop.
  • To provide practical lessons and guidelines for improving study design, participant engagement, and interdisciplinary collaboration in HRI.
  • To share feedback from workshop attendees and distill key learnings for future HRI research endeavors.

Main Methods:

  • Conducted a virtual workshop, Workshop Your Study Design (WYSD), at the 2021 International Conference on HRI.
  • Grouped participants with mentors expert in areas such as empirical lab studies, questionnaire design, and statistics.
  • Facilitated discussions on proposed study methods, feedback exchange, and iterative refinement of research designs.

Main Results:

  • Workshop attendees provided positive feedback, suggesting practical improvements for future iterations.
  • Participants gained valuable insights and practical tips across key themes: improving study design, working with diverse participants (including children), managing study/robot limitations, and fostering cross-disciplinary collaboration.
  • The paper's main contribution is a curated set of lessons learned, directly informed by participant experiences and discussions.

Conclusions:

  • The virtual workshop effectively supported HRI researchers in developing methodological skills.
  • The lessons learned offer actionable guidance to help researchers navigate common pitfalls and enhance the quality of their HRI studies.
  • The findings provide a valuable resource for both novice and experienced researchers seeking to improve their HRI study designs and execution.