I am a PhD student in the Non-Lexical Vocalizations Group at Linköping University in Sweden. My supervisors are Prof. Leelo Keevallik and Prof. Mathias Broth.

My research explores how robot sound can support coordination of human and robot bodies. I work at the intersection of conversation analysis and human-computer/human-robot interaction and study robots in everyday interaction with humans.

About me

Hannah is a PhD candidate in language and culture at Linköping University in Sweden. Her thesis on sound in human-robot coordination is part of the Non-Lexical Vocalizations Project, funded by the Swedish Research Council. Hannah has a Bachelor of Science in Cognitive Science from University of Osnabrück and a Master of Science cum laude in Interaction Technology from University of Twente. She won the graduation award of the University of Twente faculty for electrical engineering, mathematics and computer science for her master thesis on the impact of robots on teamwork in the surgical operating room. She has published at prestigious international venues such as HRI, CSCW and CHI. Hannah gave a featured talk at CUI 2021 and has been an invited speaker at the Mixed Reality Lab in Nottingham, at EPFL Lausanne and at University of Chicago. She recently won a Vinnova grant for a 6 month research visit at Cornell University, NY, USA.


I take an ethnomethodology and conversation analysis (EMCA) perspective on human-robot interaction. Most of my work involves studies in the wild, i.e. in real-work settings, capturing everyday interaction on video recordings. I am interested in sound as a resource for human-robot coordination, the intertwinement of the body with verbal communication resources, and combining EMCA with interaction design. My current projects involve Cozmo toy robots in family homes, autonomous buses in regular traffic as well as AI for teamwork. I am also interested in gender and robotics. I have previously published on the DaVinci surgical system and on the Nao robot. My work contributes to the design of robots that respect human interaction practices and thereby are more intuitive to interact with.