Robots in the Wild: Contextually-Adaptive Human-Robot Interactions in Urban Public Environments
Xinyan Yu, Yiyuan Wang, Tram Thi Minh Tran, Yi Zhao, Julie Stephany Berrio Perez, Marius Hoggenmüller, Justine Humphry, Lian Loke, Lynn Masuda, Callum Parker, Martin Tomitsch, Stewart Worrel
Sunday 3 December, 9:00 am - 12.15 pm.
The increasing transition of human-robot interaction (HRI) context from controlled settings to dynamic, real-world public environments calls for enhanced adaptability in robotic systems. This can go beyond algorithmic navigation or traditional HRI strategies in structured settings, requiring the ability to navigate complex public urban systems containing multifaceted dynamics and various socio-technical needs. Therefore, our proposed workshop seeks to extend the boundaries of adaptive HRI research beyond predictable, semi-structured contexts and highlight opportunities for adaptable robot interactions in urban public environments. This half-day workshop aims to explore design opportunities and challenges in creating contextually-adaptive HRI within these spaces and establish a network of interested parties within the OzCHI research community. By fostering ongoing discussions, sharing of insights, and collaborations, we aim to catalyse future research that empowers robots to navigate the inherent uncertainties and complexities of real-world public interactions
In preparation for the workshop, we invite participants to envision and speculate on a specific scenario where the interaction between humans and robots needs to adapt to the context. Participants can encapsulate this scenario visually through a photograph or a simple sketch. If necessary, a brief textual explanation can accompany this visual to elaborate further and provide additional clarity.
Potential participants: For detailed information about the workshop, please visit our workshop website. If you're interested in joining, you can either submit your EOI via the website or directly register by sending an email to firstname.lastname@example.org before October 3rd, 2023 . Notifications will be sent out by October 23rd.