Erik Billing
Associate Professor of Informatics
School of Informatics
Room H104
I am a researcher at the Interaction Lab here at the University of Skövde. I’m currently spending most of my time the research synergy Virtual Ergonomics, funded by the Swedish Knowledge Foundation (KK). My primary research focus lies on cognitive modelling for human robot interaction. Over the last five years I've spent a lot of time within the EU funded project DREAM, developing robots used in therapy for children with autism spectrum disorder. I have also a big heart for robot learning from demonstration and wrote my PhD thesis on the topic, titled Cognition Rehearsed – Recognition and Reproduction of Demonstrated Behavior, presented January 2012. The thesis presents novel techniques for learning from human demonstration, inspired by several cognitive and neurocomputational models of learning.
Please also refer to my profiles at Google scholar, Mendeley, and Research Gate.
Research
Publications
Projects
2022
2022. Editor (conference proceedings).
Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021): Volume V: Methods & Approaches
2022. Conference paper. https://doi.org/10.1007/978-3-030-74614-8_44
Frontiers in Virtual Reality
2022. Article.
https://doi.org/10.3389/frvir.2022.864653
Proceedings of the Society 5.0 Conference 2022 - Integrating Digital World and Real World to Resolve Challenges in Business and Society
2022. Conference paper. https://doi.org/10.29007/m2jx
2021
2021. Editor (conference proceedings).
Curie
2021. Article.
Advances in Human Factors in Robots, Unmanned Systems and Cybersecurity: Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Robots, Drones and Unmanned Systems, and Human Factors in Cybersecurity, July 25-29, 2021, USA
2021. Conference paper. https://doi.org/10.1007/978-3-030-79997-7_11
ACM/IEEE International Conference on Human-Robot Interaction: The Road to a successful HRI: AI, Trust and ethicS - TRAITS Workshop
2021. Conference paper, oral presentation with abstract.
2020
DHM2020: Proceedings of the 6th International Digital Human Modeling Symposium, August 31 – September 2, 2020
2020. Conference paper.
https://doi.org/10.3233/ATDE200010