The research topic of this thesis, titled "Human-AI co-creativity. Understanding the relationship between designers and AI systems in the field of Interactive Digital Narrative", revolves around the collaborative and complementary relationship between designers and Artificial Intelligence (AI) systems within the domain of Interactive Digital Narratives (IDN). IDN is commonly understood as a digital product that blends storytelling with interactivity, enabling end-users to influence the plot's outcome and explore various pathways within the narrative. The investigation examines AI's support in creating "narrative design products", including "IDN design artefacts". This study is foundational theoretical research guided by a methodological approach known as qualitative multimethod. This led to a case study analysis, the development of a theoretical framework, and subsequent evaluation through semi-structured interviews, adopting a cross-sectional critical-reflexive approach. The original contribution of this thesis is threefold. First, it provides a multifaceted and systematic overview of AI systems knowledge capable of supporting the creation of "narrative design products". Second, the theoretical framework, called the "AI4IDN framework", emerges as a proposal for simplified comprehension of content related to AI support systems within the Design community. The intention is to equip designers with the necessary awareness and the ability to choose the most suitable AI tool for their IDN creation needs and to familiarise themselves with the selected AI system before delving into the IDN design process. Third, the study concludes by identifying polarities and tensions in addressing the human-AI co-creativity topic.
L’argomento di ricerca di questa tesi, intitolata “Human-AI co-creativity. Understanding the relationship between designers and AI systems in the field of Interactive Digital Narrative”, ruota attorno alla relazione collaborativa e complementare tra l’umano e il sistema di Intelligenza Artificiale (IA) nell'ambito delle Interactive Digital Narratives (IDN). L’acronimo IDN indica comunemente un artefatto digitale che unisce la narrazione con l'interattività, consentendo agli utenti di influenzare la trama ed esplorare vari percorsi all'interno della narrazione. Nel presente contributo ci si riferisce all’attore umano, inteso come designer e al sistema IA, inteso come strumento di supporto nel processo di design, che porta alla creazione di “prodotti narrativi di design”, tra cui “artefatti IDN”. Per potersi orientare in questo panorama, è stata condotta una ricerca teorica di base guidata da un approccio metodologico chiamato qualitativo multi-metodo. Ciò ha portato a un’analisi di casi studio, alla creazione di un framework teorico e alla sua successiva valutazione tramite interviste semi-strutturate, adottando un approccio critico-riflessivo trasversale. Il contributo originale di questa tesi è triplice. Innanzitutto, fornisce una panoramica dei sistemi IA in grado di supportare la creazione di “prodotti narrativi di design”. In secondo luogo, il “framework AI4IDN” si pone come una proposta di restituzione semplificata dei contenuti relativi ai sistemi IA di supporto nell’ambito IDN per la comunità del Design. Si vuole dare ai designer la consapevolezza necessaria e la possibilità di scelta dello strumento AI più adatto alle loro esigenze nella creazione di “prodotti narrativi di design”. In terzo luogo, lo studio si conclude identificando polarità e tensioni emerse in relazione al tema della co-creatività tra umano e IA, evidenziando l'importante problema legato alla classificazione della creatività nell'ambito della collaborazione umano-IA.
Human-AI co-creativity. Understanding the relationship between designers and AI systems in the field of Interactive Digital Narrative
Serbanescu, Anca
2023/2024
Abstract
The research topic of this thesis, titled "Human-AI co-creativity. Understanding the relationship between designers and AI systems in the field of Interactive Digital Narrative", revolves around the collaborative and complementary relationship between designers and Artificial Intelligence (AI) systems within the domain of Interactive Digital Narratives (IDN). IDN is commonly understood as a digital product that blends storytelling with interactivity, enabling end-users to influence the plot's outcome and explore various pathways within the narrative. The investigation examines AI's support in creating "narrative design products", including "IDN design artefacts". This study is foundational theoretical research guided by a methodological approach known as qualitative multimethod. This led to a case study analysis, the development of a theoretical framework, and subsequent evaluation through semi-structured interviews, adopting a cross-sectional critical-reflexive approach. The original contribution of this thesis is threefold. First, it provides a multifaceted and systematic overview of AI systems knowledge capable of supporting the creation of "narrative design products". Second, the theoretical framework, called the "AI4IDN framework", emerges as a proposal for simplified comprehension of content related to AI support systems within the Design community. The intention is to equip designers with the necessary awareness and the ability to choose the most suitable AI tool for their IDN creation needs and to familiarise themselves with the selected AI system before delving into the IDN design process. Third, the study concludes by identifying polarities and tensions in addressing the human-AI co-creativity topic.File | Dimensione | Formato | |
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2024_03_Serbanescu.pdf
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https://hdl.handle.net/10589/217132