Registered user since Mon 7 Aug 2023

Name:Nick Bryan-Kinns
Bio:

Nick Bryan-Kinns is Professor of Creative Computing at the Creative Computing Institute, University of the Arts London. He is a Visiting Professor of Interaction Design at Hunan University, China, a Fellow of the Royal Society of Arts, Fellow of the British Computer Society, and Senior Member of the Association of Computing Machinery (ACM). Bryan-Kinns has published award winning international journal and conference papers on his extensively funded user experience research on Human Centred AI, AI and Music, co-design, mutual engagement, interactive art, and tangible interfaces. His research is reported in publications such as the New Scientist, and media outlets such as BBC, and exhibited at venues such as the Science Museum, London. Bryan-Kinns was Deputy Dean for Science and Engineering, Director of the Media and Arts Technology Centre, and Lead of the Sonic Interaction Design Lab at Queen Mary University of London. He was a Turing Fellow at The Alan Turing Institute and held a Royal Academy of Engineering Industrial Secondment in recognition of his work on commercialising academic research. He was a Z-Kubator Development Programme Mentor, Zurich University of the Arts, and was a panel member for the National Science Foundation’s CreativeIT funding panel, and provided expert consultation for the European Commission’s funding of Creativity and ICT. He was Chair of the Steering Committee for the ACM Creativity and Cognition Conference series and was the founding chair of the ACM Creativity, Cognition and Art Community. He chaired the ACM Creativity and Cognition conference 2009, and co-chaired the British Computer Society (BCS) international HCI conference 2006. Prof. Bryan-Kinns is a recipient of the ACM and BCS Recognition of Service Awards. In 1998 he was awarded a PhD in Human Computer Interaction from the University of London.

Country:United Kingdom
Affiliation:University of the Arts London
Research interests:Human Centred AI, Interaction Design, Explainable AI

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