Lessons Learned About Designing and Conducting Studies From HRI Experts

Marlena R. Fraune, Iolanda Leite, Nihan Karatas, Aida Amirova, Amélie Legeleux, Anara Sandygulova, Anouk Neerincx, Gaurav Dilip Tikas, Hatice Gunes, Mayumi Mohan, Nida Itrat Abbasi, Sudhir Shenoy, Brian Scassellati, Ewart J. de Visser, Takanori Komatsu

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

The field of human-robot interaction (HRI) research is multidisciplinary and requires researchers to understand diverse fields including computer science, engineering, informatics, philosophy, psychology, and more disciplines. However, it is hard to be an expert in everything. To help HRI researchers develop methodological skills, especially in areas that are relatively new to them, we conducted a virtual workshop, Workshop Your Study Design (WYSD), at the 2021 International Conference on HRI. In this workshop, we grouped participants with mentors, who are experts in areas like real-world studies, empirical lab studies, questionnaire design, interview, participatory design, and statistics. During and after the workshop, participants discussed their proposed study methods, obtained feedback, and improved their work accordingly. In this paper, we present 1) Workshop attendees’ feedback about the workshop and 2) Lessons that the participants learned during their discussions with mentors. Participants’ responses about the workshop were positive, and future scholars who wish to run such a workshop can consider implementing their suggestions. The main contribution of this paper is the lessons learned section, where the workshop participants contributed to forming this section based on what participants discovered during the workshop. We organize lessons learned into themes of 1) Improving study design for HRI, 2) How to work with participants - especially children -, 3) Making the most of the study and robot’s limitations, and 4) How to collaborate well across fields as they were the areas of the papers submitted to the workshop. These themes include practical tips and guidelines to assist researchers to learn about fields of HRI research with which they have limited experience. We include specific examples, and researchers can adapt the tips and guidelines to their own areas to avoid some common mistakes and pitfalls in their research.

Original languageEnglish
Article number772141
JournalFrontiers in Robotics and AI
Volume8
DOIs
Publication statusPublished - Jan 28 2022

Keywords

  • human-robot interaction
  • methodology
  • qualitative
  • quantitative
  • replication
  • reproducibility
  • research
  • statistics

ASJC Scopus subject areas

  • Computer Science Applications
  • Artificial Intelligence

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