Creativity and innovation are essential for business success, yet their social nature makes them fragile, and problems such as misalignment, lack of trust, and ineffective communication often hinder collaboration. Dyads—the simplest and most intimate form of collaboration—offer a unique setting to overcome these barriers. Iconic pairs like Steve Jobs and Steve Wozniak at Apple or Larry Page and Sergey Brin at Google represent the power and effectiveness of this collaborative dynamic. Moreover, generative AI, a rising technology capable of producing creative outputs, is increasingly used in idea generation. However, its role as a facilitator of human collaboration remains underexplored. This thesis investigates how generative AI can empower people to create meaningful conversations, generate better ideas, and deepen connections in co-creation processes. To address these questions, the PaiR design toolkit, a tailor-made application powered by generative AI, was developed and tested in an experimental workshop with two distinct conditioning approaches. The first aimed to encourage convergence by providing complementary suggestions (Dare to Share), while the second challenged initial ideas with constructive criticism, prompting critical thinking (Critique to Reframe). In the first conditioning, AI fostered psychological safety and trust, enabling participants to refine ideas together acting as a Nudge. In the second, AI pushed participants toward more transformative creativity, reframing ideas and encouraging creative risk-taking, acting as a Sparring Partner. These outcomes validate the Artificial Intimacy Framework and Rouse’s theory of intimate co-creation, highlighting how different uses of AI can shape different dynamics influencing both idea and relationship evolution. This thesis provides actionable insights for designing future AI-powered co-creation tools and offers a framework for practitioners to strategically integrate generative AI into collaborative settings. By understanding how AI influences creativity and intimacy, the research opens new directions for human-AI collaboration in design, management, and other innovation-driven fields.
Creatività e innovazione sono essenziali per il successo aziendale, ma la loro natura sociale le rende fragili, e problemi come disallineamento, mancanza di fiducia e comunicazione inefficace spesso ostacolano la collaborazione. Le diadi—la forma più semplice e intima di collaborazione—offrono un contesto unico per superare queste barriere. Coppie iconiche come Steve Jobs e Steve Wozniak alla Apple o Larry Page e Sergey Brin a Google rappresentano la forza e l'efficacia di questa dinamica collaborativa. Inoltre, l'IA generativa, una tecnologia emergente in grado di produrre risultati creativi, è sempre più utilizzata nella generazione di idee. Tuttavia, il suo ruolo come facilitatore della collaborazione umana rimane poco esplorato. Questa tesi indaga come l'IA generativa possa facilitare conversazioni significative, generare idee migliori e approfondire legami nei processi di co-creazione. Per rispondere a queste domande, il design toolkit PaiR, un'applicazione su misura che integra l'IA generativa, è stato sviluppato e testato in un workshop sperimentale con due condizionamenti distinti. Il primo mirava a convergere fornendo suggerimenti complementari (Dare to Share), mentre il secondo metteva in discussione le idee iniziali con critiche costruttive, stimolandone il pensiero critico (Critique to Reframe). Nel primo condizionamento, l'IA ha favorito sicurezza psicologica e fiducia, consentendo ai partecipanti di affinare le idee insieme, agendo come Nudge. Nel secondo, l'IA ha spinto i partecipanti verso una creatività più trasformativa, riformulando idee e incoraggiando il rischio creativo, agendo come Sparring Partner. Questi risultati convalidano l'Artificial Intimacy Framework e la teoria di intimate co-creation di Rouse, evidenziando come diversi usi dell'IA possano dare forma a dinamiche diverse che influenzano l'evoluzione di idee e relazioni. Questa tesi fornisce spunti pratici per la progettazione di futuri design toolkit di co-creazione alimentati dall'IA e offre un framework di riferimento ai professionisti per integrare strategicamente l'IA generativa in contesti collaborativi. Comprendendo come l'IA influenzi la creatività e l'intimità, la ricerca apre nuove direzioni per la collaborazione tra uomo-IA nel mondo del design, nel management e altri campi orientati all'innovazione.
Artificial intimacy: exploring how generative AI influences dyadic co-creation
Tintori, Marco
2023/2024
Abstract
Creativity and innovation are essential for business success, yet their social nature makes them fragile, and problems such as misalignment, lack of trust, and ineffective communication often hinder collaboration. Dyads—the simplest and most intimate form of collaboration—offer a unique setting to overcome these barriers. Iconic pairs like Steve Jobs and Steve Wozniak at Apple or Larry Page and Sergey Brin at Google represent the power and effectiveness of this collaborative dynamic. Moreover, generative AI, a rising technology capable of producing creative outputs, is increasingly used in idea generation. However, its role as a facilitator of human collaboration remains underexplored. This thesis investigates how generative AI can empower people to create meaningful conversations, generate better ideas, and deepen connections in co-creation processes. To address these questions, the PaiR design toolkit, a tailor-made application powered by generative AI, was developed and tested in an experimental workshop with two distinct conditioning approaches. The first aimed to encourage convergence by providing complementary suggestions (Dare to Share), while the second challenged initial ideas with constructive criticism, prompting critical thinking (Critique to Reframe). In the first conditioning, AI fostered psychological safety and trust, enabling participants to refine ideas together acting as a Nudge. In the second, AI pushed participants toward more transformative creativity, reframing ideas and encouraging creative risk-taking, acting as a Sparring Partner. These outcomes validate the Artificial Intimacy Framework and Rouse’s theory of intimate co-creation, highlighting how different uses of AI can shape different dynamics influencing both idea and relationship evolution. This thesis provides actionable insights for designing future AI-powered co-creation tools and offers a framework for practitioners to strategically integrate generative AI into collaborative settings. By understanding how AI influences creativity and intimacy, the research opens new directions for human-AI collaboration in design, management, and other innovation-driven fields.File | Dimensione | Formato | |
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https://hdl.handle.net/10589/231535