The Need for Open Science
Open science, particularly open access to data and code, is crucial. By openly sharing data and code, researchers can facilitate collaboration and accelerate scientific progress in understanding HRI. This approach enhances the rigor of research, encourages innovation, and ensures that findings are accessible and applicable across diverse contexts, ultimately advancing the development of more effective and ethically informed human-robot interactions.
One of the major benefits of open science is that it allows for more direct use of the existing literature via meta-analysis and systematic review. Meta-analyses overcome the limitations of any single study by quantitatively combining the results of multiple studies in order to build an overall estimation of the presence and strength of a relationship (i.e. effect size) across a body of literature. As a result, meta-analyses have the potential to consolidate and refocus what we know based on what we've found not as individual scholars but as an entire field of research.
IEEE Robotics and Automation Letters | 2022
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI) | 2021
Frontiers in Robotics and AI | 2021
IEEE Conference on Robot & Human Interactive Communication
(RO-MAN) | 2022
IEEE Access | 2023
Computers in Human Behavior | 2023
Nature | Scientific Reports | 2023
ACM/IEEE Conference on Human-Robot Interaction (HRI) | 2023