Lessons Learned About Designing and Conducting Studies From HRI Experts

Fraune M.R. Leite I. Karatas N. Amirova A. Legeleux A. Sandygulova A. Neerincx A. Dilip Tikas G. Gunes H. Mohan M. Abbasi N.I. Shenoy S. Scassellati B. de Visser E.J. Komatsu T.
28 January 2022 Frontiers Media S.A.

Frontiers in Robotics and AI
2022 #8

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. Copyright

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

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Intergroup Human-Robot Interaction (iHRI) Lab, Department of Psychology, New Mexico State University, Las Cruces, NM, United States
Division of Robotics, Perception, and Learning (RPL), School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden
Human-Machine Interaction (HMI) and Human Characteristics Research Division, Institutes of Innovation for Future Society, Nagoya University, Nagoya, Japan
Department of Robotics and Mechatronics, School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, Kazakhstan
Lab-STICC, University of South Brittany, CNRS, UMR 6285, Brest, France
Strategy, Innovation and Entrepreneurship Area, Institute of Management Technology, Ghaziabad, India
Affective Intelligence and Robotics Lab, Department of Computer Science and Technology, University of Cambridge, Cambridge, United Kingdom
Haptic Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart, Germany
Human-AI Technology Lab, Computer Engineering Program, University of Virginia, Charlottesville, VA, United States
Social Robotics Lab, Department of Computer Science, Yale University, New Haven, CT, United States
Warfighter Effectiveness Research Center, U.S. Air Force Academy, Colorado Springs, CO, United States
Department of Frontier Media Science, School of Interdisciplinary Mathematical Science, Meiji University, Tokyo, Japan

Intergroup Human-Robot Interaction (iHRI) Lab
Division of Robotics
Human-Machine Interaction (HMI) and Human Characteristics Research Division
Department of Robotics and Mechatronics
Lab-STICC
Strategy
Affective Intelligence and Robotics Lab
Haptic Intelligence Department
Human-AI Technology Lab
Social Robotics Lab
Warfighter Effectiveness Research Center
Department of Frontier Media Science

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