🤖 AI Summary
This study addresses the limitations of existing human-computer interaction (HCI) research, which predominantly emphasizes task-oriented reflection and struggles to accommodate open-ended, ineffable creative experiences. Integrating interdisciplinary perspectives from HCI, cognitive science, art, and artificial intelligence, this work systematically investigates reflective mechanisms in creative interaction through expert workshops, reflective modeling, and taxonomy development. It specifically tackles how to capture reflection within creative contexts, leverage artistic practices to stimulate ethical reflection, and design creative AI systems that foster critical thinking. The project yields the first reflection framework tailored to creative experience, accompanied by an initial taxonomy, thereby establishing a theoretical foundation for future research and tool development and advancing the integration of creative AI with reflective design.
📝 Abstract
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 personal data or pedagogical outcomes. This contrasts with the open-ended and challenging to articulate goals of creative user experiences. For the first time, this workshop brings together interdisciplinary researchers, designers, educators, and artists across HCI, Cognitive Science, Design, AI, Learning Sciences, and Digital Art to examine reflection in creative interaction. The workshop will discuss themes, drawn from earlier discussions with HCI researchers and artists, on: how best to capture reflection in creative contexts, how to leverage the arts to support reflection for ethical change, and how to design creative AI that enhances - not hinders - critical thinking. By bringing interdisciplinary perspectives on reflection into discussion, the workshop will develop a guiding taxonomy for reflection in creative interaction to inform future creative practice and tool development.