299 citations · 420 across the 6 of their papers we have counts for
6 papers
Designing Creative AI Partners with COFI: A Framework for Modeling Interaction in Human-AI Co-Creative Systems
Jeba Rezwana, Mary Lou Maher
Human-AI co-creativity involves both humans and AI collaborating on a shared creative product as partners. In a creative collaboration, interaction dynamics, such as turn-taking, c…
Identifying Ethical Issues in AI Partners in Human-AI Co-Creation
Jeba Rezwana, Mary Lou Maher
Human-AI co-creativity involves humans and AI collaborating on a shared creative product as partners. In many existing co-creative systems, users communicate with the AI using butt…
Understanding User Perceptions, Collaborative Experience and User Engagement in Different Human-AI Interaction Designs for Co-Creative Systems
Jeba Rezwana, Mary Lou Maher
Human-AI co-creativity involves humans and AI collaborating on a shared creative product as partners. In a creative collaboration, communication is an essential component among col…
Deep Learning in a Computational Model for Conceptual Shifts in a Co-Creative Design System
Pegah Karimi, Mary Lou Maher, Nicholas Davis +1
This paper presents a computational model for conceptual shifts, based on a novelty metric applied to a vector representation generated through deep learning. This model is integra…
Evaluating Creativity in Computational Co-Creative Systems
Pegah Karimi, Kazjon Grace, Mary Lou Maher +1
This paper provides a framework for evaluating creativity in co-creative systems: those that involve computer programs collaborating with human users on creative tasks. We situate…
Deep Learning for Identifying Potential Conceptual Shifts for Co-creative Drawing
Pegah Karimi, Nicholas Davis, Kazjon Grace +1
We present a system for identifying conceptual shifts between visual categories, which will form the basis for a co-creative drawing system to help users draw more creative sketche…