activity
20232026
most citedExploring XAI for the Arts: Explaining Latent Space in Generative Music

10 citations · 15 across the 9 of their papers we have counts for

collaborators

9 papers

cs.HC2026

Social Facilitation of Creative Reflection: AI-agents and Humans

Olga Sutskova, Corey Ford

Social collaboration can support people's reflection and is a crucial component of creativity. Creative technologies have been designed to support more collaborative ways of workin…

cs.HC2026

Creative Task Cards for Reflection, Self-Efficiency and Self-Regulation in CS1 Introductory Programming: Initial Insights

Corey Ford, Yinmiao Li, Rosa Van Koningsbruggen

Computer Science students in introductory programming courses struggle with emotional challenges such as low levels of sustained interest and a lack of self-belief. However, studen…

cs.HC2026

Proceedings of The First Reflection in Creative Experience (RiCE) Workshop

Corey Ford, Olga Sutskova, Samuel Rhys Cox +12

Reflection and metacognition are central to the creative user experience. However, most HCI research on reflection focuses on clear, task-oriented goals such as to reflect on perso…

cs.AI2025

Proceedings of The third international workshop on eXplainable AI for the Arts (XAIxArts)

Corey Ford, Elizabeth Wilson, Shuoyang Zheng +9

This third international workshop on explainable AI for the Arts (XAIxArts) brought together a community of researchers in HCI, Interaction Design, AI, explainable AI (XAI), and di…

cs.SD2025★ 1 cited

Survey on the Evaluation of Generative Models in Music

Alexander Lerch, Claire Arthur, Nick Bryan-Kinns +3

Research on generative systems in music has seen considerable attention and growth in recent years. A variety of attempts have been made to systematically evaluate such systems. We…

cs.HC2025

Human-Centered AI Communication in Co-Creativity: An Initial Framework and Insights

Jeba Rezwana, Corey Ford

Effective communication between AI and humans is essential for successful human-AI co-creation. However, many current co-creative AI systems lack effective communication, which lim…

cs.HC2025★ 1 cited

Improving User Experience with FAICO: Towards a Framework for AI Communication in Human-AI Co-Creativity

Jeba Rezwana, Corey Ford

How AI communicates with humans is crucial for effective human-AI co-creation. However, many existing co-creative AI tools cannot communicate effectively, limiting their potential…

cs.AI2023★ 3 cited

Proceedings of The first international workshop on eXplainable AI for the Arts (XAIxArts)

Nick Bryan-Kinns, Corey Ford, Alan Chamberlain +6

This first international workshop on explainable AI for the Arts (XAIxArts) brought together a community of researchers in HCI, Interaction Design, AI, explainable AI (XAI), and di…

cs.AI2023★ 10 cited

Exploring XAI for the Arts: Explaining Latent Space in Generative Music

Nick Bryan-Kinns, Berker Banar, Corey Ford +4

Explainable AI has the potential to support more interactive and fluid co-creative AI systems which can creatively collaborate with people. To do this, creative AI models need to b…