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Gabriel Skantze

Profilbild av Gabriel Skantze

PROFESSOR

Detaljer

Adress
LINDSTEDTSVÄGEN 24

Forskare

Forskar-ID

Om mig

I am a Professor in Speech Communication and Technology, with a specialization in Conversational Systems, at the Department of Speech Music and Hearing at KTH in Stockholm.

In my research I study human communication and develop computational models that allow computers and robots to have face-to-face conversations with humans. This involves both verbal and non-verbal (gaze, prosody, etc) aspects of communication, and my research involves phenomena such as turn-taking, feedback, joint attention, and language acquisition. Since social robots are likely to play an important role in our future society, the technology has direct applications, but it can also be used to increase our understanding of the mechanisms behind human communication. This requires an interdisciplinary approach, which includes language technology, artificial intelligence, machine learning, phonetics, and linguistics.

In 2014, I co-founded the company Furhat Robotics together with Samer Al Moubayed and Jonas Beskow at KTH. I am working part-time as a Chief Scientist in the company.

I am President Emeritus of SIGdial, the ACL (Association for Computational Linguistics) Special Interest Group on Discourse and Dialogue, Associate Editor for the Human-Robot Interaction section of Frontiers in Robotics and AI, and Action Editor for the ACL Rolling Review.

I am an alumni member of the Young Academy of Sweden - an independent, cross-disciplinary forum for some of the most promising young researchers in Sweden in all disciplines.

Background

I have a MSc in Cognitive Science from Linköping University and I did my PhD in Speech Communication at KTH in 2007. The title of my thesis is Error Handling in Spoken Dialogue Systems: Managing Uncertainty, Grounding and Miscommunication. I was a post-doc at the University of Potsdam in 2008, became Docent in Speech Technology at KTH in 2012, Assistant Professor in 2013, Associate Professor in 2016 and Professor in 2018.

Master thesis opportunities

Contact me if you are interested in doing your Master thesis in any of the projects listed below.

Ongoing research projects

  Representation Learning for Conversational AI.How can we develop generic representation learning that is better suited for conversation than current language models?Funded by WASP (2021-2026).
PREDICON - Prediction and Coordination for Conversational AI.How can we use deep learning to predict human actions in a conversation?Funded by the Swedish Research Council (2021-2024).
AnalyTIC - Understanding Predictive models of Turn-taking in Spoken Interaction.How can we use deep learning models to better understand the signals used to coordinate turn-taking in human communication?Funded by Riksbankens Jubileumsfond (2021-2023).
Anticipatory Anticipatory Control in Conversational Human-Robot Interaction.How can a robot anticipate the conversational behaviour of multiple speakers it is interacting with? Funded by WASP (2024-2028).
Ultimatum game Relying on a Robot - How Agency and Anthropomorphism in Human-Centered AI Affects Social Decision Making.How can we use experimental paradigms from behavioral economics to study human trust towards robots? Funded by Marianne and Marcus Wallenberg Foundation (2022-2027).
Robot learning of symbol grounding in multiple contexts through dialog.How can a robot learn to understand the meaning of words in a conversation with a human?Funded by WASP (2018-2023).

Social robots accelerating the transition to sustainable transport.How can social robots be used as hosts on driverless busses? Funded by Energimyndigheten (2020-2024).

Early Language Development in the Digital Age (e-LADDA).How can social robots be used for language learning? A Marie Skłodowska-Curie Innovative Training Network, funded by EU MSCA ITN (2020-2023)
  Empowering Cultural Integration
and Language Learning
through Conversational AI. Funded by Digital Futures (2024-2026)
COBRA: Conversational Brains.Modelling the linguistic, cognitive and brain mechanisms that allow conversation to unfold in both human-human and human-machine interactions.A Marie Skłodowska-Curie Innovative Training Network, funded by EU MSCA ITN (2020-2023)

My research is funded by:

Recorded presentations

Awards

  • Best Paper Award at SIGDIAL 2022, Edinburgh
  • Honourable mention Award, CUI 2019, Dublin
  • Nominated for Test-of-time Award, NAACL 2018, New Orleans
  • Nominated for Best Paper Award at HRI 2017, Vienna
  • Best Paper Award at ICSR 2016, Kansas City
  • Nominated for Outstanding Paper Award at ICMI 2015, Seattle
  • Two nominations for Best Paper Award at SIGDIAL 2013, Metz
  • Robotdalen Innovation Award (2nd prize) 2013
  • Outstanding Demo Award at ICMI 2012, Santa Monica
  • Best Paper Award at SIGDIAL 2010, Tokyo

Ongoing PhD supervision

  • Bram Willemsen (2019-), Main supervisor, KTH
  • Alireza Mahmoudi Kamelabad (2021-), Main supervisor, KTH
  • Livia Qian (2022-), Main supervisor, KTH
  • Charlotte Stinkeste (2022-), Main supervisor, KTH
  • Haotian Qi (2023-), Main supervisor, KTH
  • Carol Figueroa (2021-), Main supervisor, Furhat & Université d'Aix-Marseille
  • Chinmaya Mishra (2021-), Main supervisor, Furhat & Radboud University
  • Ronald Cumbal (2019-), Co-supervisor, KTH
  • Shaul Ashkenazi (2021-), Co-supervisor, University of Glasgow
  • Alexander Borg (2021-), Co-supervisor, Karolinska Institutet

Post-docs

Past PhD supervision

  • Erik Ekstedt (2018-2023), Main supervisor, KTH
  • Agnes Axelsson (2018-2023), Main supervisor, KTH
  • Dmytro Kalpakchi (2018-2023), Co-supervisor, KTH
  • Peter Blomsma (2021-2023), Co-supervisor, Tilburg University
  • Dimosthenis Kontogiorgos (2016-2022), Co-supervisor, KTH
  • Maike Paetzel (2015-2020), Co-supervisor, Uppsala Unversity
  • Martin Johansson, (2012-2020), Main supervisor, KTH
  • Raveesh Meena (2011-2016), Main supervisor, KTH
  • Jana Götze (2011-2016), Co-supervisor, KTH

Kurser

Examensarbete i datalogi och datateknik med inriktning mot industriell ekonomi, avancerad nivå (DA235X), examinator | Kurswebb

Examensarbete i datalogi och datateknik med inriktning mot maskininlärning, avancerad nivå (DA233X), examinator | Kurswebb

Examensarbete i datalogi och datateknik med inriktning mot systemteknik och robotik, avancerad nivå (DA236X), examinator | Kurswebb

Examensarbete inom datalogi och datateknik med inriktning mot ICT innovation, avancerad nivå (DA256X), examinator | Kurswebb

Examensarbete inom datalogi och datateknik med inriktning mot inbyggda system, avancerad nivå (DA248X), examinator | Kurswebb

Examensarbete inom elektroteknik med inriktning mot systemteknik och robotik, avancerad nivå (EA236X), examinator | Kurswebb

Examensarbete inom elektroteknik, avancerad nivå (EA238X), examinator | Kurswebb

Examensarbete inom elektroteknik, avancerad nivå (EA250X), examinator | Kurswebb

Konverserande system (FDT3151), examinator, kursansvarig, lärare | Kurswebb

Multimodala interaktioner och gränssnitt (DT2140), examinator, kursansvarig | Kurswebb

Projekt i konverserande system (DT2151), examinator, kursansvarig, lärare | Kurswebb