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, 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