Creative Thinking: Computational Tools Imbued With Ai

Abstract

This paper presents a test bed for AI technology on the integration of creative AI (CAI) with hybrid design tools (HDTs). The objective is to build and develop tools and programs for creative people (e.g. designers, engineers) to use, whereby the artificial intelligence (AI) software acts as a creative collaborator rather than a mere tool. The goal is to find a set of guiding principles, metaphors and ideas that inform the development of a CAI praxis imbued with computational support tools, new theories, experiments, and applications. Results and findings are presented of early-stage research.

Crafting Innovation: Nurturing Creative Thinking in Cad Engineering for Future Breakthroughs

“…From the foundational understanding of linear and lateral thinking to the exploration of the creative process and principles, CAD engineers are equipped with a comprehensive toolkit that transcends traditional problem-solving approaches. Design is neither orderly nor linear, it implies a continuous and active search to resolve trade-offs and satisfying constraints [4].…”

“…Moreover, the role of intrinsic motivation among CAD designers cannot be overstated. Engineers, akin to consumers, are shaped by their unique experiences, beliefs, motivations, expectations, capabilities, and cultural influences [4]. Nurturing creativity within CAD engineers involves tapping into this intrinsic motivation, allowing it to propel the design process forward.…”

Effect of product-based pedagogy on students’ project management skills, learning achievement, creativity, and innovative thinking in a high-school artificial intelligence course

“…There are many ways to conceptualize creativity (e.g., approaches that focus on cognitive neuroscience, environmental factors, sociocultural processes, metacognition, learning theory, developmental psychology, etc.). In the field of AI, some scholars combined creativity with machine learning to emphasize the role of inventing new ideas to support the process of machine creation (Wendrich, 2020). It was found that the AI learning process mainly focused on clear reasoning but ignored the creative emergence of new ideas, especially the integration of AI technology in creativity (Wegerif et al, 2009).…”