To tackle key challenges in human-robot bonding, we initiated specialized task forces with fellow researchers. These focused work groups bring together experts from different fields to explore specific questions, develop methodologies, and drive innovation.
On this page, you’ll find details about our current task forces (LLMs and Measurements), their objectives, and the collaborative efforts shaping the future of human-robot interaction.
The rise of Large Language Models (LLMs) has the potential to revolutionize the field of social robotics, as tasks that took years to implement might now be completed in minutes. However, as new tools continue to emerge, so do new challenges. With an increasing number of LLMs available, it has become difficult to determine which one is best suited for specific applications. Factors such as privacy concerns, ethical issues, interaction speed, and the naturalness of communication all play a crucial role in the decision-making process. To better navigate these complexities, we have gathered a group of experts to share their insights and potentially develop standardized guidelines for using these tools, tailored to specific target groups.
All invited contributors are welcome to share their insights and ideas through our dedicated Google Drive folder to ideally develop guidelines for the use of LLMs in HRI. Major breakthroughs or advancements in LLMs will be highlighted and shared on this website for the broader community to benefit from. To get access to the dedicated workspace please fill out the sign up form.
Reliable and accurate measurements are the foundation of strong research, and while some aspects are straightforward to measure, bonding is not one of them. Whether using questionnaires, interviews, or psycho-physiological methods, (longitudinally) measuring bonding presents unique challenges. Different researchers hold varying opinions on the best approaches. To address this, we have formed a task force where experts in the field can contribute to the ongoing discussion about the most effective ways to measure more subjective concepts, such as human-robot bonding.
All invited contributors are welcome to share their insights and ideas through our dedicated Google Drive folder. Any major breakthroughs or advancements will be highlighted and shared on this website for the broader community to benefit from. To get access to the dedicated workspace please fill out the sign up form.
