Organisers

Mateusz Dubiel is a Research Associate in the Department of Computer Science at the University of Luxembourg, where he works on development and evaluation of conversational agents. Specifically, his current research focuses on assessment of cognitive and usability implications of interfaces that feature speech, and exploration of their potential to inspire positive behavioural change in users.

Matthew Aylett is an Associate Professor at Heriot Watt Edinburgh and a co-founder and Chief Scientific Officer of CereProc. His work focuses on human/robot interaction and conversational interaction. 

Anuschka Schmitt  is a research associate and PhD candidate at the University of St.Gallen (HSG), Switzerland and a research fellow at Harvard University’s School of Engineering and Applied Sciences. She is passionate about the societal and organizational impact of Artificial Intelligence (AI), placing special emphasis on conversational AI and its impact on human perception and behavior. Her research mainly engages in user trust and AI-assisted decision-making in knowledge work and educational domains.

Zilin Ma is a Ph.D. student in the Department of Computer Science at Harvard University. He works in the bias issues associated with voice assistants. His current research project looks at how the perception of accent affects one's trust on voice assistants, and how it affects decision making alone with AI. His work has implications in how we design equitable voice interface to benefit broader populations.

Gary Hsieh is an Associate Professor in the Department of Human-Centred Design and Engineering (HCDE) and an Adjunct Associate Professor in Paul G. Allen School of Computer Science and Engineering at the University of Washington. He specialises in designing and developing technologies that encourage people to communicate and interact in ways that are self- and welfare-improving. 

Thiemo Wambsganss is an Assistant Professor at Bern University of Applied Sciences. His work aims to leverage methods from Natural Language Processing and Machine Learning to provide users, in particular students, with intelligent writing feedback anytime and anywhere they want. In this vein, he strives to understand how humans perceive, interact, and learn with intelligent tools, such as with conversational voice assistance for smart data collection.