Experimentation is a fundamental part of validating hypotheses in scientific research, especially within the field of human-robot interaction (HRI). Despite its importance, the complexity and cost associated with setting up HRI experiments often limit the number of participants and reduce the reliability of user experience data. As a solution, there is growing interest in applying crowdsourcing methods to make HRI studies more scalable and accessible. While crowdsourcing has been successfully adopted in other domains like artificial intelligence for data labeling and large-scale user studies, its application to HRI is still emerging due to the unique requirements of interactive environments and robotic systems. Initial attempts using techniques like gamification and the Wizard-of-Oz method have shown promise but come with trade-offs in interaction fidelity and data quality.
This workshop aims to explore how crowdsourcing can be effectively integrated into HRI research to overcome traditional limitations, such as logistical constraints and limited participant diversity. By enabling remote participation, researchers can engage with a broader, more diverse global audience, enriching the generalizability of findings. Additionally, real-time feedback and iterative testing become more feasible, accelerating both research and development in HRI. The workshop will bring together experts from HRI, human-computer interaction, and networking technologies to present their work and engage in collaborative discussions.
The focus areas include, but not limited to:
Human-robot interaction (HRI)
Human-computer interaction (HCI)
Human-centered design
User experience
Robotics
XR in Robotics
Robotic vision
Large Language Models (LLMs) for HRI
Workshop papers will be included with the UbiComp proceedings and posted in the ACM Digital Library.
Truong-An Pham (Aalto University/Arcada University of Applied Sciences, Finland)
Dennis Biström (Åbo Akademi/Arcada University of Applied Sciences, Finland)
Program Committee
Wencan Mao (National Institue of Informatics, Japan)
Leonardo Espinosa-Leal (VTT Technical Research Centre of Finland, Finland)
Niklas Eriksson (Arcada University of Applied Sciences, Finland)
Ira Jeglinsky-Kankainen (Arcada University of Applied Sciences, Finland)
Christa Tigerstedt (Arcada University of Applied Sciences, Finland)
Clayton Leite (QMill, Finland)
Website/Publicity Chair
Truong-An Pham (Aalto University/Arcada University of Applied Sciences, Finland)
Submission Instructions
We invite original research papers that have not been previously published and are not currently under review for publication.
The workshop will accept completed work as well as work-in-progress. The concentration of the workshop is the discussion on novel ideas.
Submission must be no longer than 6 pages (including references and figures) for full papers, and 4 pages (including references and figures) for position papers.
All submissions must be in PDF format and follow
formatting guidelines of Ubicomp 2025.
Submission Site:
TBA!
For any question or concern, please contact Truong-An Pham via truongan.pham@arcada.fi