Who are the CoMusicate project team?

Dr Caroline Waddington-Jones (PI)

Caroline is a Lecturer in Music Education at the University of York. She has published in various leading peer-reviewed journals in music education and psychology, as well as guest-editing a special issue of Empirical Musicology Review and co-editing a volume on music and empathy research for Routledge with Dr Elaine King. She is currently leading research projects on music technology and severe mental ill health, D/deaf music education, and improving music provision within special education.

Dr Anna Bramwell-Dicks (Co-I)

Anna is a Lecturer in Interactive Media within the School of Arts and Creative Technologies at the University of York. Her research is predominantly driven by a want to understand how we can use new technologies to improve health, wellbeing and improve access for disabled people. She combines her interests in Human Computer Interaction and Music Technology to various domains, using both quantitative and qualitative methods, within film & television, theatre, video games and other immersive media formats.

Tania Dales (Research assistant)

Tania is a first-year PhD student on the Intelligent Games and Games Intelligence (iGGi) programme, based within the University of York Computer Science department. Their research explores how the uncanny valley presents in the character development process. They are interested in how users engage with different forms of media and technology, and how user experience can be improved. Additionally, Tania is interested in exploring ways to support and encourage equal, diverse and inclusive practices in the screen industries.

Noah Henry (Research Assistant)

Noah is a final-year PhD student in the School of Arts and Creative Technology at the University of York. His research primarily focuses on the utility of music in everyday life, and the influence contextual factors have on music selection. His research intersects with Music Information Retrieval (MIR) in that he is also interested in how knowledge about music listening in everyday life can be incorporated into recommendation systems for the purpose of meeting listeners' short-term, cross-sectional needs.