Ana Rodrigues, David dos Santos, Diogo N. Cabral, Pedro F. Campos
pp. 12-30, download
(https://doi.org/10.55612/s-5002-069-001)
Abstract
Creativity support tools (CSTs) play a fundamental role in supporting creativity in human-computer interaction (HCI). The rapid development of artificial intelligence (AI), particularly Large Language Models (LLMs), has significantly transformed human-computer interactions and, consequently, CSTs. However, little attention has been paid to how LLM-based CSTs reconfigure convergent thinking, decision-making, and agency dynamics throughout the design process, especially in sustainability-oriented contexts. We present a theory-driven conceptual synthesis to analyze how LLM-based CSTs transform AI-assisted convergent thinking. Based on existing research on these dynamics, we propose a conceptual reconfiguration of individual evaluation towards mediated decision-agency. This conceptual framework culminates in five theoretical implications for the design of LLM-based CSTs, proposing principles to support mediated decision-agency, promote situated transparency, and reinforce human autonomy in sustainability-oriented convergence processes.
keywords: Convergent Thinking, Creativity Support Tools, Sustainability, Human-AI Co-Creativity, AI-assisted Decision-Making, Trust and transparency.
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