I’m currently a PhD student in the area of adaptive conversational agents at KTH, The Royal Institute of Technology in Stockholm, Sweden. The (tentative) topic of my PhD thesis is “Using social and physiological signals for user adaptation in conversational agents” where I focus on developing machine learning methods for behavior adaptation of conversational agents based on social and physiological signals emitted by the user.
- IVACan we trust online crowdworkers? Comparing online and offline participants in a preference test of virtual agentsIn Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents (IVA’20) 2020
- CogSciEmbodiment and gender interact in alignment to TTS voicesProceedings of the 42th Annual Meeting of the Cognitive Science Society, CogSci 2020 2020
- Best Paper Nominee ICMIGesticulator: A framework for semantically-aware speech-driven gesture generationIn Proceedings of the 22th ACM International Conference on Multimodal Interaction (ICMI’20) 2020
- Best Paper IVALet’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 (IVA’20) 2020
- GENEAThe GENEA Challenge 2020:Benchmarking gesture-generation systems on common dataIn Proceedings of the GENEA Workshop 2020, part of IVA’20. 2020