Paola Mello

Papers

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About

Paola Mello is a researcher working at the innovative intersection of artificial intelligence and artistic expression, with a particular focus on robotic dance and human-AI creative collaboration. Her work addresses one of the most compelling challenges in contemporary AI research: developing rigorous, objective frameworks for evaluating and comparing creative outputs produced by both humans and artificial intelligence systems. Mello's most notable contribution, "Towards Symbiotic Creativity: A Methodological Approach to Compare Human and AI Robotic Dance Creations" (2023), has garnered 7 citations and proposes structured criteria for assessing AI artistic production — a field where such standards have been conspicuously absent. Complementing this, her 2022 paper "Do You Like Dancing Robots? AI Can Tell You Why," with 4 citations, explores how humanoid robots can function as artistic agents while systematically incorporating human evaluation into the creative process. Through her research, Mello champions the concept of symbiotic creativity — a model in which human and machine intelligence enhance one another rather than compete. Her work is particularly valuable for students and researchers interested in human-robot interaction, computational creativity, and the philosophical boundaries of machine-generated art, offering both methodological tools and fresh perspectives on what it means to create.