Experimental Methodology for HumanRobot Interaction: Guidelines and Case Studie [Hardcover]

I Introduction to humanrobot interaction (HRI) experiment methodology 1. Life Cycle of an HRI Study and an Interactive Study Design Check-List 2. Developing Research Questions and Hypotheses 3. Study Context and Experimental Design 4. Identifying and Recruiting Participants 5. Quantitative Evaluation Methods 6. Quantitative Data Collection and Analysis 7. Reporting Findings and Designing Follow-Up Studies II Advanced Topics in HRI methodology 8. A Framework for Ethical HRI Research 9. Interdisciplinary Approach to HRI research 10. Advanced Statistical Analysis Methods in Quantitative HRI Research 11. Qualitative and Mixed Method Evaluation for HRI 12. Qualitative Data and Mixed Methods Data Analysis III Case studies 13. Participatory Design with Stakeholders 14. Recruiting Domain Experts and Specific User Populations 15. Simulated Humans and Sim2Real Studies 16. Leveraging Online Studies to Expand Diversity, Sample Size and Response Quality 17. Measuring Interaction with Multimodal Data 18. Challenges and Future Directions of Experiments in HRI

Leimin Tian?is a senior scientist and the leader of the Human Robot Interaction team at CSIRO Robotics. Her research spans over humanrobot interaction, human-centred AI, and affective computing. She focuses on developing robots that incorporate social-emotional intelligence to enhance communication and collaboration in various applications. She attained her BEng from Beijing University of Posts and Telecommunications in 2012 and her MSc and PhD from The University of Edinburgh in 2013 and 2018, respectively.

Tina L.Y. Wu (19962023)?obtained her PhD degree from Monash University in 2024. She obtained her BASc in Biomedical Engineering (Honours) from the University of Waterloo in 2019. Her research focused on humanrobot interaction, human motion analysis, rehabilitation robots, and usel³®