Mr Corey Ford

Profile

Project 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 Design

Research

Research 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, music

Publications

• Bryan-Kinns N, Ford C, Chamberlain A et al. (2023). Explainable AI for the Arts: XAIxArts. nameOfConference

  
  

  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. nameOfConference

  
  

  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
• 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://qmro.qmul.ac.uk/xmlui/handle/123456789/67482