In recent years, Generative AI has become increasingly relevant in creative fields like design and engineering, showing potential as a tool to assist in complex processes such as brainstorming. This research thesis focuses on how ChatGPT, guided by Prompt Engineering techniques, can enhance brainstorming sessions by generating How-Might-We Questions (HMW Questions), which are key elements in the design thinking methodology. These questions serve to reframe problems, foster divergent thinking, and open paths to innovative solutions. With a structured prompt, ChatGPT can become a supportive instrument in the ideation process, allowing teams of designers to explore a wider range of perspectives efficiently. This research employs a comprehensive methodology, integrating an extensive literature review with empirical testing, to investigate the role of ChatGPT as a facilitator in collaborative brainstorming sessions. The study reveals that when guided by a meticulously crafted prompt, ChatGPT can generate a diverse range of HMW Questions that effectively cater to creative exploration and problem-solving needs. Furthermore, ChatGPT offers valuable advice to designers on conducting brainstorming in an organized and structured manner. Importantly, this technology does not replace or overshadow humans; rather, it serves as a supportive resource that enhances their performance and enriches the ideation process, amplifying the intrinsic value of human creativity while fostering a more dynamic and productive innovation environment. The results of this study underscore the multifaceted role of Generative AI models in brainstorming, illustrating its capacity to significantly enhance the diversity and depth of creative ideation. By enabling teams of designers to tackle complex challenges from multiple perspectives, ChatGPT streamlines the problem-solving process. This capability is especially important in design and other innovation fields, where agile, inquiry-driven approaches are essential. Ultimately, the thesis deepens our understanding of Generative AI’s transformative impact on the creative landscape, suggesting that advancements in Prompt Engineering could reshape collaborative brainstorming processes, empowering designers, engineers, and innovators to refine ideas and explore new concepts with enhanced dynamism.
Negli ultimi anni, l'IA Generativa è diventata sempre più rilevante in campi creativi come il design e l'ingegneria, mostrando un potenziale in quanto strumento di assistenza in processi complessi quale il brainstorming. Questa tesi di ricerca si concentra su come ChatGPT, guidato dalle tecniche di Prompt Engineering, possa migliorare le sessioni di brainstorming generando le How-Might-We Questions (HMW Questions), che sono elementi chiave nella metodologia del design thinking. Queste domande servono a riformulare i problemi, a promuovere il pensiero divergente e ad individuare soluzioni innovative. Con un prompt strutturato, ChatGPT può diventare uno strumento di supporto nel processo di ideazione, consentendo ai team di designer di esplorare in modo efficiente una gamma più ampia di prospettive. Questa ricerca impiega una metodologia approfondita, integrando un'ampia revisione della letteratura con test empirici, per indagare il ruolo del ChatGPT come facilitatore nelle sessioni di brainstorming collaborativo. Lo studio rivela che, se guidato da un prompt meticolosamente realizzato, ChatGPT può generare una gamma diversificata di HMW Questions che soddisfano efficacemente le esigenze di esplorazione creativa e di problem-solving. Inoltre, ChatGPT offre preziosi consigli ai designer per condurre il brainstorming in modo organizzato e strutturato. È importante notare che questa tecnologia non sostituisce o mette in ombra gli esseri umani; piuttosto, funge da risorsa di supporto che migliora le loro prestazioni e arricchisce il processo ideativo, amplificando il valore intrinseco della creatività umana e favorendo un ambiente di innovazione più dinamico e produttivo. I risultati di questo studio sottolineano il ruolo sfaccettato dei modelli di IA Generativa nel brainstorming, illustrando la loro capacità di migliorare significativamente la diversità e la profondità dell'ideazione creativa. Consentendo ai team di progettisti di affrontare sfide complesse da più prospettive, ChatGPT semplifica il processo di risoluzione dei problemi. Questa capacità è particolarmente importante nel design e in altri campi dell'innovazione, dove sono essenziali approcci rapidi e guidati dalla ricerca. In definitiva, la tesi approfondisce la nostra comprensione dell'impatto trasformativo dell'IA Generativa sul settore creativo, suggerendo che i progressi del Prompt Engineering potrebbero rimodellare i processi di brainstorming collaborativo, consentendo a designer, ingegneri e innovatori di perfezionare le idee ed esplorare nuovi concetti con maggiore dinamismo.
Unlocking creative potential in brainstorming: leveraging ChatGPT for developing HMW questions
SQUICCIARINI, STEFANIA CONSIGLIA
2023/2024
Abstract
In recent years, Generative AI has become increasingly relevant in creative fields like design and engineering, showing potential as a tool to assist in complex processes such as brainstorming. This research thesis focuses on how ChatGPT, guided by Prompt Engineering techniques, can enhance brainstorming sessions by generating How-Might-We Questions (HMW Questions), which are key elements in the design thinking methodology. These questions serve to reframe problems, foster divergent thinking, and open paths to innovative solutions. With a structured prompt, ChatGPT can become a supportive instrument in the ideation process, allowing teams of designers to explore a wider range of perspectives efficiently. This research employs a comprehensive methodology, integrating an extensive literature review with empirical testing, to investigate the role of ChatGPT as a facilitator in collaborative brainstorming sessions. The study reveals that when guided by a meticulously crafted prompt, ChatGPT can generate a diverse range of HMW Questions that effectively cater to creative exploration and problem-solving needs. Furthermore, ChatGPT offers valuable advice to designers on conducting brainstorming in an organized and structured manner. Importantly, this technology does not replace or overshadow humans; rather, it serves as a supportive resource that enhances their performance and enriches the ideation process, amplifying the intrinsic value of human creativity while fostering a more dynamic and productive innovation environment. The results of this study underscore the multifaceted role of Generative AI models in brainstorming, illustrating its capacity to significantly enhance the diversity and depth of creative ideation. By enabling teams of designers to tackle complex challenges from multiple perspectives, ChatGPT streamlines the problem-solving process. This capability is especially important in design and other innovation fields, where agile, inquiry-driven approaches are essential. Ultimately, the thesis deepens our understanding of Generative AI’s transformative impact on the creative landscape, suggesting that advancements in Prompt Engineering could reshape collaborative brainstorming processes, empowering designers, engineers, and innovators to refine ideas and explore new concepts with enhanced dynamism.| File | Dimensione | Formato | |
|---|---|---|---|
|
2024_12_Squicciarini.pdf
non accessibile
Descrizione: Testo della tesi
Dimensione
6.59 MB
Formato
Adobe PDF
|
6.59 MB | Adobe PDF | Visualizza/Apri |
I documenti in POLITesi sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/10589/230428