Mr Corey FordEmail: c.j.ford@qmul.ac.ukRoom Number: Engineering, Eng 408Website: https://codetta.codes/ProfileResearchPublicationsProfileProject Title: Artificial Intelligence for Supporting Musical Creativity and Engagement in Child-Computer Interaction Abstract: Artificial Intelligence for Supporting Musical Creativity and Engagement in Child-Computer Interaction.This research looks towards artificial intelligence (AI), and asks how can we design digital agents that adaptively provide pedagogical support with awareness of the affective and motivational context? Specifically, this project would evaluate such agents in terms of their capacity to support autodidactic use (child self-learning), and as an adjunct to classroom use, to aid generalist teachers in specialist creative domains (music/coding).The objectives are:- To study child interaction in digital music composition, as an example of creativity in context.- To evaluate the ability of AI algorithms to find patterns of creativity within interaction data.- To inform the design of an Intelligent Tutoring System for digitally supporting creativity.- To evaluate children's engagement with Intelligent Tutoring Systems for music composition. C4DM theme affiliation: Sonic Interaction DesignResearchResearch Interests:I am a PhD researcher working within the intersection of Child-Computer Interaction, Music and Artificial Intelligence. My research is centred around designing intelligent agents for Codetta: a block-based digital musical interface, in order to support children's creativity in music composition.Interests: Human-Computer Interaction, Computer-Supported Education, Intelligent User Interfaces, Creativity, Machine-Learning, Pedagogy, Computational Creativity, NIME, C++, audio, musicPublications Bryan-Kinns N, Banar B, Ford C et al. (publicationYear). Explainable AI and Music. nameOfConference DOI: 10.1201/9781003406273-1 QMRO: qmroHref Bryan-Kinns N, Ford C, Zheng S et al. (2024). Explainable AI for the Arts 2 (XAIxArts2). Creativity and Cognition DOI: 10.1145/3635636.3660763 QMRO: qmroHref Ford C, Noel-Hirst A, Cardinale S et al. (2024). Reflection Across AI-based Music Composition. Creativity and Cognition DOI: 10.1145/3635636.3656185 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/97327 Lewis M, Sturdee M, Lengyel D et al. (2024). Traveling Arts x HCI Sketchbook: Exploring the Intersection Between Artistic Expression and Human-Computer Interaction. Extended Abstracts of the CHI Conference on Human Factors in Computing Systems DOI: 10.1145/3613905.3644069 QMRO: qmroHref Ford C, Cardinale S, Bryan-Kinns N et al. (2023). Three Open Questions for the Design of AI for Music Composition. CHIME ONE DAY WORKSHOP 2023 DOI: doi QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/94219 Bryan-Kinns N, Ford C, Chamberlain A et al. (2023). Explainable AI for the Arts: XAIxArts. Creativity and Cognition DOI: 10.1145/3591196.3593517 QMRO: qmroHref Ford C, Bryan-Kinns N (2023). On the Role of Reflection and Digital Tool Design for Creative Practitioners. Digital Skills for the Creative Practitioner: Supporting Informal Learning of Technologies for Creativity Workshop at CHI 2023 DOI: doi QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/88820 Ford C, Bryan-Kinns N (2023). Towards a Reflection in Creative Experience Questionnaire. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23) DOI: 10.1145/3544548.3581077 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/84900 Ford C, Bryan-Kinns N (2022). Identifying Engagement in Children's Interaction whilst Composing Digital Music at Home. ACM Conference on Creativity & Cognition DOI: 10.1145/3527927.3532794 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/79025 Ford C, Bryan-Kinns N (2022). Speculating on Reflection and People’s Music Co-Creation with AI. Generative AI and HCI Workshop at CHI 2022 DOI: doi QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/80144 Bryan-Kinns N, Banar B, Ford C et al. (2021). Exploring XAI for the Arts: Explaining Latent Space in Generative Music. NeurIPS 2021 - eXplainable AI Approaches for Debugging and Diagnosis Workshop DOI: doi QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/77565 Ford C, Bryan-Kinns N, Nash C (2021). Creativity in Children's Digital Music Composition. New Instruments for Music Expression DOI: 10.21428/92fbeb44.e83deee9 QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/72722 Ford C, Nash C (2020). An Iterative Design ‘by proxy’ Method for Developing Educational Music Interfaces. International Conference on New Interfaces for Musical Expression DOI: doi QMRO: https://uat2-qmro.qmul.ac.uk/xmlui/handle/123456789/67482