In the face of global emergencies such as climate change, migration, and pollution, there is an urgent need for more effective tools to communicate complex issues and support collective understanding. This research explores the potential of Human-AI Collaborative (HAIC) Systems to address these challenges, emphasizing the synergy between human creativity, intuition, and social awareness, and the computational power and analytical capabilities of artificial intelligence. By combining these complementary strengths, the project aims to develop new models for translating complex data into intuitive and emotionally resonant visual representations. A key objective of this research is to design a tool that can be used not only by data visualization experts but also by individuals with scientific knowledge yet limited experience in visual communication. The system seeks to empower scientists, researchers, and activists to create clear, engaging, and emotionally impactful visualizations without requiring technical expertise in dataviz design. Through techniques such as algorithmic image segmentation and curated color palette application, the system generates unconventional, personalized visuals that enhance both engagement and comprehension. This approach demonstrates how human-machine collaboration can democratize access to knowledge, fostering more inclusive, perceptive, and impactful communication of urgent global phenomena.
From Data to Narrative: Visualizing Complex Phenomena through Human-AI Co-Creation / Ceccarini C.; Licaj A.; Matteucci E.; Delnevo G.. - ELETTRONICO. - 4072:(2025), pp. 23-32. (Intervento presentato al convegno HAIC 2025 Workshop on Human-AI Collaborative Systems 2025 tenutosi a Bologna nel 25/10/2025).
From Data to Narrative: Visualizing Complex Phenomena through Human-AI Co-Creation
Licaj A.
;Matteucci E.
;
2025
Abstract
In the face of global emergencies such as climate change, migration, and pollution, there is an urgent need for more effective tools to communicate complex issues and support collective understanding. This research explores the potential of Human-AI Collaborative (HAIC) Systems to address these challenges, emphasizing the synergy between human creativity, intuition, and social awareness, and the computational power and analytical capabilities of artificial intelligence. By combining these complementary strengths, the project aims to develop new models for translating complex data into intuitive and emotionally resonant visual representations. A key objective of this research is to design a tool that can be used not only by data visualization experts but also by individuals with scientific knowledge yet limited experience in visual communication. The system seeks to empower scientists, researchers, and activists to create clear, engaging, and emotionally impactful visualizations without requiring technical expertise in dataviz design. Through techniques such as algorithmic image segmentation and curated color palette application, the system generates unconventional, personalized visuals that enhance both engagement and comprehension. This approach demonstrates how human-machine collaboration can democratize access to knowledge, fostering more inclusive, perceptive, and impactful communication of urgent global phenomena.| File | Dimensione | Formato | |
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