Key findings include: AI broadens developers' creative repertoires but may narrow independent ideation; developers increasingly consult AI instead of colleagues, weakening peer learning and mentoring; and teams are developing emerging triadic collaboration patterns in which developers, colleagues, and AI reason together.
Abstract
Generative artificial intelligence (GenAI) tools are reshaping software engineering work, increasingly acting as cognitive partners rather than purely instrumental aids. Most AI tooling remains optimized for individual use, yet software development is inherently collaborative and creative, raising open questions about how AI affects team-based work. This paper examines how software engineering professionals perceive and integrate AI tools focusing on creativity and collaboration within teams. We conducted semi-structured interviews with 13 software professionals from four companies, each representing a distinct team. Our analysis identifies three central themes - AI Use, Consequences of AI, and Collaboration and Team Dynamics, alongside Emotions as a cross-cutting dimension. Key findings include: AI broadens developers'creative repertoires but may narrow independent ideation; developers increasingly consult AI instead of colleagues, weakening peer learning and mentoring; and teams are developing emerging triadic collaboration patterns in which developers, colleagues, and AI reason together.
When individuals use generative AI, the diversity of ideas decreases sharply. When entire teams rely on the same AI tools, the convergence compounds. Most research to date has focused on enhancing individuals’ creative abilities through use of generative AI. However, no prior studies have examined how distributing diff...
Findings from an exploratory, multi-session study with creative professionals, examining their use of AI-CSTs across workflow stages are presented, reflecting on how AI influences collaborative creative practices, particularly in relation to accessibility, expertise, and creative agency.
Caterina Moruzzi, Charlotte Bird, L. Herman· Proceedings of the ACM on Hu...· 0 citations
Creativity is recognized as a multifaceted competence that can be nurtured within educational contexts, yet traditional pedagogies often fail to foster its potential. Concurrently, the rapid evolution of generative artificial intelligence (genAI) is reshaping conceptions of creative agency, positioning AI as a collabor...
Fabrizio Lo Presti, C. Tosto, P. Rivoltella et al.· Education sciences· 0 citations
Generative AI (GenAI) applications are increasingly adopted in co-creative workflows, taking an active role in design and development tasks. GenAI offers unique opportunities through content generation and synthesis across resources, yet it can lead to losses in co-creativity, due to limited collaborative interactions...
Yvonne A. Farah, Michael C. Dorneich· Proceedings of the Human Fac...· 0 citations
As Generative AI (GenAI) expands beyond individual workflows and becomes increasingly integrated into collaborative creative work, its potential to address the fundamental challenge of building common ground among creators with diverse expertise remains underexplored. Specifically, we lack empirical understanding of ho...
Hajun Kim, Jini Kim, Y. J. Choi· Proceedings of the ACM on Hu...· 0 citations
The creative industries, whose human resources utilize their creativity to create products, are adaptable to new technologies. Some studies suggest that artificial intelligence (AI) may collaborate with human creators in the co creation of creative works. This study’s primary goal is to scrutinize the effects of AI com...