I’m currently a PhD student in the area of adaptive conversational agents at KTH, The Royal Institute of Technology in Stockholm, Sweden. My research interests can be broadly defined as multimodal interaction. At the moment, my main research focus is machine learning for these interactions, specifically for non-verbal behavior generation in conversational agents. My goal is to give conversational agents the ability to adapt their non-verbal behavior in response to the behaviour of a conversation partner, similar to what humans do, and I use data collected from interactions between humans, along with deep learning, to progress toward that goal.
- IUIA large, crowdsourced evaluation of gesture generation systems on common data[To appear in] 26th Annual Conference on Intelligent User Interfaces. 2021†Indicates equal contribution
- ArXivHEMVIP: Human Evaluation of Multiple Videos in ParallelArXiv. 2021
- Frontiers in
ScienceMultimodal capture of patient behaviour for improved detection of early dementia: clinical feasibility and preliminary results[In review] Frontiers in Computer Science - Human-Media Interaction. 2020†Indicates equal contribution
- IVA Best PaperLet’s Face It: Probabilistic Multi-Modal Interlocutor-Aware Generation of Facial Gestures in Dyadic SettingsIn Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents. 2020
- ICMI Best PaperGesticulator: A framework for semantically-aware speech-driven gesture generationIn Proceedings of the 22th ACM International Conference on Multimodal Interaction. 2020