Grazia ragone
is a postdoctoral researcher in the Department of Computer Science at the University of Bari (Italy), where she is part of the IVU group. Her research focuses on developing metrics to evaluate human-AI collaboration, with an emphasis on incorporating human factors to create symbiotic AI systems. She earned a PhD in Human-Computer Interaction from the University of Sussex (UK), specializing in designing and evaluating interactions with autistic children, including aspects like imitation and social motor synchrony. https://ivu.di.uniba.it/people/ragone
Zhen bai
is an Assistant Professor at the University of Rochester, United States. She earned her PhD degree in Computer Science from the University of Cambridge and was a postdoctoral fellow at the Human-Computer Interaction Institute and Language Technology Institute at Carnegie Mellon University. Her research focuses on creating embodied and intelligent technologies, such as AR/VR and embodied conversational agents, that promote learning and social interaction for children with a diverse range of backgrounds and abilities.
Judith good
is a Professor in Human-Computer Interaction, University of Amsterdam, Netherlands. Her research interests focus on the co-design of new technologies for children with and without disabilities. She is also interested in developing new participatory methodologies for typically marginalised populations to have greater involvement in both the design and evaluation of new technologies.
Arzu Güneysu
is an Associate Professor at Umeå University in the Department of Computing Science, Sweden. She has organized several workshops in IDC, ICRR and HRI on care and education, especially for children with special needs. Her research interests include various topics in Human-Computer Interaction in healthcare and education, such as Co-design for Healthcare, Iterative Design of Autism Therapy, Adaptive Technology-Enhanced Physiotherapy, Gamified Therapeutic Technologies for Children with Neurodevelopmental Disorders, and Inclusive Activity Design for Special Education.
https://www.umu.se/en/staff/arzu-guneysu/
Elmira Yadollahi
is an Assistant Professor at Lancaster University, UK. She holds a joint PhD in robotics and computer science from EPFL in Switzerland and Instituto Superior Técnico in Portugal. Her research tackles explainability in robotics, multimodal perception, and multimodal explanation to enhance the transparency and efficiency of collaboration between humans and machines. She has organized the 2nd and 3rd Workshop on Explainability in robotics at HRI 2024 and 2025 and a series of workshops on Child-Robot Interaction at ICSR 2020, IDC 2021, IDC 2024, and another series on Interactive AI at RO-MAN 2024.