The potential of conversational AI as a creativity support tool in cultural settings is demonstrated, augmenting everyday interpretive practice by expanding associative space without resolving meaning.
Abstract
This paper presents AIrt Guide, a conversational human-AI system designed to scaffold interpretive curiosity and creative meaning-making during art museum visits. Art engagement is inherently interpretive and creative, and AIrt Guide structures dialogue to support sustained observation, evidence-based reasoning, and elaborative perspective shifting during the act of viewing. Grounded in a mini-c framework of everyday creative cognition, the system implements two pedagogical conversational variations: Visual Thinking Strategies (VTS) and Formal Analysis. Rather than delivering definitive interpretations, the system supports iterative meaning construction while preserving viewer agency and productive ambiguity. Findings from in-person workshops suggest that this form of conversational scaffolding promotes analytic depth and more explicit articulation of visual evidence. Overall, this work demonstrates the potential of conversational AI as a creativity support tool in cultural settings, augmenting everyday interpretive practice by expanding associative space without resolving meaning.
Using action research methodology, the study analyzes an undergraduate course grounded in double-loop learning and scaffolding theory, in which generative artificial intelligence (generative AI) was introduced as a learning partner rather than a substitute for curatorial expertise. Centered on the theme of local food a...
Embodying the Artificial examines how dance creation unfolds in dialogue with generative AI and related technologies to explore how generative systems reshape the creation and performance of dance.
Constrained narrative is proposed as a preliminary design orientation for AI-assisted learning that supports understanding without completing too much of the learner’s interpretive work.
Creative writing pedagogy has often privileged imagination as the defining characteristic of storytelling. Yet many young writers struggle not because they lack imagination, but because they believe they have nothing worth writing about. This paper proposes a pedagogical model that repositions observation, critical thi...
Suhaile Azavedo· International Journal of Eng...· 0 citations
The findings suggest that HWAMW facilitates restorying and offers a valuable paradigm for AI-assisted writing, wherein LLMs do not tell their stories but rather help us see greater potential in the stories the authors tell.
Cody Kommers, Sarah G. Immel, Drew Hemment et al.· 0 citations
Sanyu Studio is presented, a multi-agent dialogue system that models 321 Sanyu oil paintings as agents with fact, interpretation, organization, and memory-filtering mechanisms that suggest that, under conditions of limited historical evidence, AI can amplify human agency and offer public audiences an interactive entry...
Zhao Wei, Hongye Yang, Shuyuan Tian· 0 citations
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