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Related papers: Cognitive States of Potentiality in Art-making

200 papers

This paper examines the art practices, artwork, and motivations of prolific users of the latest generation of text-to-image models. Through interviews, observations, and a user survey, we present a sampling of the artistic styles and…

Human-Computer Interaction · Computer Science 2023-03-23 Minsuk Chang , Stefania Druga , Alex Fiannaca , Pedro Vergani , Chinmay Kulkarni , Carrie Cai , Michael Terry

This paper explains in layperson's terms how an agent-based model was used to investigate the hypothesis that culture evolves more effectively when novelty-generating creative processes are tempered by imitation processes that preserve…

Multiagent Systems · Computer Science 2015-02-14 Liane Gabora

Generating diverse questions for given images is an important task for computational education, entertainment and AI assistants. Different from many conventional prediction techniques is the need for algorithms to generate a diverse set of…

Computer Vision and Pattern Recognition · Computer Science 2017-04-13 Unnat Jain , Ziyu Zhang , Alexander Schwing

Improvisation-the art of spontaneous creation that unfolds moment-to-moment without a scripted outcome-requires practitioners to continuously sense, adapt, and create anew. It is a fundamental mode of human creativity spanning music, dance,…

Human-Computer Interaction · Computer Science 2025-11-06 Botao 'Amber' Hu

What is appropriateness? Humans navigate a multi-scale mosaic of interlocking notions of what is appropriate for different situations. We act one way with our friends, another with our family, and yet another in the office. Likewise for AI,…

This article is about the cognitive science of visual art. Artists create physical artifacts (such as sculptures or paintings) which depict people, objects, and events. These depictions are usually stylized rather than photo-realistic. How…

Artificial Intelligence · Computer Science 2019-11-19 Owain Evans

Observing that the creation of certain types of artistic artifacts necessitate intelligence, we present the Lovelace 2.0 Test of creativity as an alternative to the Turing Test as a means of determining whether an agent is intelligent. The…

Artificial Intelligence · Computer Science 2014-12-23 Mark O. Riedl

Large language models appear quite creative, often performing on par with the average human on creative tasks. However, research on LLM creativity has focused solely on \textit{products}, with little attention on the creative…

Human-Computer Interaction · Computer Science 2024-06-07 Surabhi S. Nath , Peter Dayan , Claire Stevenson

Generative art is a rules-driven approach to creating artistic outputs in various mediums. For example, a fluid simulation can govern the flow of colored pixels across a digital display or a rectangle placement algorithm can yield a…

Neural and Evolutionary Computing · Computer Science 2024-07-30 Erik M. Fredericks , Denton Bobeldyk , Jared M. Moore

We present a pilot study on crea.blender, a novel co-creative game designed for large-scale, systematic assessment of distinct constructs of human creativity. Co-creative systems are systems in which humans and computers (often with Machine…

Imagination is one of the most important factors which makes an artistic painting unique and impressive. With the rapid development of Artificial Intelligence, more and more researchers try to create painting with AI technology…

Computation and Language · Computer Science 2019-03-07 Ruixue Liu , Baoyang Chen , Xiaoyu Guo , Yan Dai , Meng Chen , Zhijie Qiu , Xiaodong He

People's associations between colors and concepts influence their ability to interpret the meanings of colors in information visualizations. Previous work has suggested such effects are limited to concepts that have strong, specific…

Human-Computer Interaction · Computer Science 2023-09-22 Kushin Mukherjee , Brian Yin , Brianne E. Sherman , Laurent Lessard , Karen B. Schloss

Experiential AI is proposed as a new research agenda in which artists and scientists come together to dispel the mystery of algorithms and make their mechanisms vividly apparent. It addresses the challenge of finding novel ways of opening…

Computers and Society · Computer Science 2019-08-08 Drew Hemment , Ruth Aylett , Vaishak Belle , Dave Murray-Rust , Ewa Luger , Jane Hillston , Michael Rovatsos , Frank Broz

As generative AI tools increasingly influence creative practice, they raise longstanding HCI questions about how creatives learn complex software and how they can be better supported. We conducted an interview study with artists and…

Human-Computer Interaction · Computer Science 2026-05-12 Haidan Liu , Isabelle Kwan , Taiga Okuma , Jeffrey Loverock , Nicholas Vincent , Parmit K Chilana

Theory of Mind is the ability to attribute mental states (beliefs, intents, knowledge, perspectives, etc.) to others and recognize that these mental states may differ from one's own. Theory of Mind is critical to effective communication and…

Computer Vision and Pattern Recognition · Computer Science 2017-10-03 Arjun Chandrasekaran , Deshraj Yadav , Prithvijit Chattopadhyay , Viraj Prabhu , Devi Parikh

In this paper, drawing inspiration from the human creativity literature, we explore the optimal balance between novelty and usefulness in generative Artificial Intelligence (AI) systems. We posit that overemphasizing either aspect can lead…

Artificial Intelligence · Computer Science 2023-06-07 Anirban Mukherjee , Hannah Chang

The introduction of new tools in people's workflow has always been promotive of new creative paths. This paper discusses the impact of using computational tools in the performance of creative tasks, especially focusing on graphic design.…

Computers and Society · Computer Science 2021-03-11 Daniel Lopes , Jéssica Parente , Pedro Silva , Licínio Roque , Penousal machado

People often create art by following an artistic workflow involving multiple stages that inform the overall design. If an artist wishes to modify an earlier decision, significant work may be required to propagate this new decision forward…

Computer Vision and Pattern Recognition · Computer Science 2020-07-15 Hung-Yu Tseng , Matthew Fisher , Jingwan Lu , Yijun Li , Vladimir Kim , Ming-Hsuan Yang

Many creative generative design spaces contain multiple regions with individuals of high aesthetic value. Yet traditional evolutionary computing methods typically focus on optimisation, searching for the fittest individual in a population.…

Neural and Evolutionary Computing · Computer Science 2022-02-07 Jon McCormack , Camilo Cruz Gambardella

Many creativity methods follow similar structures and principles. Design Patterns capture such invariants of proven good practices and discuss why, when and how creative thinking methods match various situations of collaboration. Moreover…

Computers and Society · Computer Science 2015-03-04 Christian Kohls