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Lessons Learned About Designing and Conducting Studies From HRI Experts
New Mexico State Univ, Intergrp Human Robot Interact iHRI Lab, Dept Psychol, Las Cruces, NM 88003 USA..
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0002-2212-4325
Nagoya Univ, Human Machine Interact HMI & Human Characterist R, Inst Innovat Future Soc, Nagoya, Japan..
Nazarbayev Univ, Dept Robot & Mech, Sch Engn & Digital Sci, Nur Sultan, Kazakhstan..
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2022 (English)In: Frontiers in Robotics and AI, E-ISSN 2296-9144, Vol. 8, article id 772141Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Frontiers Media SA , 2022. Vol. 8, article id 772141
Keywords [en]
methodology, qualitative, quantitative, research, statistics, human-robot interaction, reproducibility, replication
National Category
Human Computer Interaction Interaction Technologies
Identifiers
URN: urn:nbn:se:kth:diva-309829DOI: 10.3389/frobt.2021.772141ISI: 000759336700001PubMedID: 35155588Scopus ID: 2-s2.0-85124628283OAI: oai:DiVA.org:kth-309829DiVA, id: diva2:1644586
Note

QC 20220315

Available from: 2022-03-15 Created: 2022-03-15 Last updated: 2022-06-25Bibliographically approved

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Leite, Iolanda

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