Aug 2026· Proceedings of the 14th Nordic Conference on Human-Computer Interaction· 0 citations· 68 references
Computer Science
TL;DR
Artly is presented, an AI system that combines personalizable AI feedback with human-authored learning resources that was perceived as helpful for learning and self-improvement, with the exception of the most proficient participants.
Abstract
Recent developments in generative AI have lowered barriers to image generation, but existing tools mostly optimize for efficiency, producing generic results and offering little support for artistic growth. We present Artly, an AI system that combines personalizable AI feedback with human-authored learning resources. In a between-subjects study with artists, we compared a mode without image generation features against one that allowed to generate variations of users’ illustrations. Artly was perceived as helpful for learning and self-improvement, with the exception of the most proficient participants. Participants who used the image generation feature interacted slightly less with the AI feedback. They reported feeling more creative after using Artly than participants using the restricted mode, while reporting slightly lower scores on new ideas for their work. Overall, our findings underline the potential of our feedback approach for supporting artistic growth in a manner that is well received by artists.
Generative artificial intelligence (GenAI) is changing the way digital art is created and shared. It provides new opportunities for faster content creation but it also creates concerns about artists careers and creative ownership. This study examined how freelance and professional artists perceive the growing use of Ge...
C. Visco· International Journal of Soc...· 0 citations
It is suggested that generative image AI helped pairs develop a solid shared understanding by providing concrete visual materials and supporting the exchange of ideas, and shifted conversation dynamics, enabling clients to participate more actively in shaping design direction.
This book addresses the challenge of creating meaningful images by writing prompts, guiding you step by step through creating stunning visual art regardless of your skill level, as well as providing comprehensive insights into various lens options, camera angles, lighting techniques, and art movements.
Abstract Creativity is paramount in design engineering, driving design innovation with new ideas. Visual representations are crucial in communicating and refining design ideas. The emergence of image-generative AI presents new opportunities, but a comprehensive understanding of AI creative capabilities, particularly in...
V. Chulvi, L. Ruiz-Pastor, A. Berni et al.· Artificial intelligence for...· 0 citations
While generative AI models can produce visually faithful artwork, they often fall short in conveying emotional authenticity--a key driver of human expression. In visual storytelling, particularly comic storyboarding, this gap becomes pronounced: effective storyboards require both technical knowledge (e.g., anatomical a...
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Microsoft Research Blog· microsoft.comOct 22, 2026
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.