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Creativity in artificial intelligence is most often addressed through evaluative frameworks that aim to measure novelty, diversity, or usefulness in generated outputs. While such approaches have provided valuable insights into the behavior…

Artificial Intelligence · Computer Science 2026-01-14 Corina Chutaux

The word creativity originally described a concept from human psychology, but in the realm of computational creativity (CC), it has become much more. The question of what creativity means when it is part of a computational system might be…

Artificial Intelligence · Computer Science 2023-06-30 Nadia M. Ady , Faun Rice

Creativity serves as a cornerstone for societal progress and innovation. With the rise of advanced generative AI models capable of tasks once reserved for human creativity, the study of AI's creative potential becomes imperative for its…

Assessing artistic creativity is foundational to creativity research and arts education, yet manual scoring (e.g., Torrance Tests of Creative Thinking) is labor-intensive at scale. Prior machine-learning approaches show promise for visual…

Computer Vision and Pattern Recognition · Computer Science 2026-02-17 Zhehan Zhang , Meihua Qian , Li Luo , Siyu Huang , Chaoyi Zhou , Ripon Saha , Xinxin Song

Software is primarily developed for people by people and human factors must be studied in all software engineering phases. Creativity is the source to improvise solutions to problems for dominating complex systems such as software…

Software Engineering · Computer Science 2013-05-28 Daniel Graziotin

There is a growing interest in the area of machine learning and creativity. This survey presents an overview of the history and the state of the art of computational creativity theories, key machine learning techniques (including generative…

Machine Learning · Computer Science 2025-02-14 Giorgio Franceschelli , Mirco Musolesi

Creativity Support Tools (CSTs) are widely used across diverse creative domains, with generative AI recently increasing the abilities of CSTs. To better understand how the success of CSTs is determined in the literature, we conducted a…

Human-Computer Interaction · Computer Science 2026-02-02 Samuel Rhys Cox , Helena Bøjer Djernæs , Niels van Berkel

We examine, analyze, and compare four representative creativity measures--perplexity, LLM-as-a-Judge, the Creativity Index (CI; measuring n-gram overlap with web corpora), and syntactic templates (detecting repetition of common…

Computation and Language · Computer Science 2026-01-29 Li-Chun Lu , Miri Liu , Pin-Chun Lu , Yufei Tian , Shao-Hua Sun , Nanyun Peng

We propose the following question: what game-like interactive system would provide a good environment for measuring the impact and success of a co-creative, cooperative agent? Creativity is often formulated in terms of novelty, value,…

Artificial Intelligence · Computer Science 2018-09-27 Rodrigo Canaan , Stefan Menzel , Julian Togelius , Andy Nealen

Programming has become an essential component of K-12 education and serves as a pathway for developing computational thinking skills. Given the complexity of programming and the advanced skills it requires, previous research has introduced…

Human-Computer Interaction · Computer Science 2024-12-13 Yunnong Chen , Shuhong Xiao , Yaxuan Song , Zejian Li , Lingyun Sun , Liuqing Chen

Human-defined creativity is highly abstract, posing a challenge for multimodal large language models (MLLMs) to comprehend and assess creativity that aligns with human judgments. The absence of an existing benchmark further exacerbates this…

What does it mean to create a new concept, rather than retrieve a familiar one? Repeatedly sampling a generative model at the same prompt produces variations with similar styles and typical content. We propose that creativity is the…

Machine Learning · Computer Science 2026-05-19 Mengye Ren

As the world becomes increasingly saturated with AI-generated content, disinformation, and algorithmic persuasion, critical thinking - the capacity to evaluate evidence, detect unreliable claims, and exercise independent judgment - is…

Machine-learning excels in many areas with well-defined goals. However, a clear goal is usually not available in art forms, such as photography. The success of a photograph is measured by its aesthetic value, a very subjective concept. This…

Computer Vision and Pattern Recognition · Computer Science 2017-07-13 Hui Fang , Meng Zhang

Generative AI enables students to produce plausible code quickly. Producing working code is therefore no longer a reliable indicator of understanding. This is particularly problematic in non-computer-science programmes, where time…

Computers and Society · Computer Science 2026-04-09 Christina Maria Mayr

Artificial Intelligence (AI), and in particular generative models, are transformative tools for knowledge work. They problematise notions of creativity, originality, plagiarism, the attribution of credit, and copyright ownership. Critics of…

Human-Computer Interaction · Computer Science 2023-07-21 Advait Sarkar

Sketching is a natural and effective visual communication medium commonly used in creative processes. Recent developments in deep-learning models drastically improved machines' ability in understanding and generating visual content. An…

Human-Computer Interaction · Computer Science 2021-11-22 Forrest Huang , Eldon Schoop , David Ha , Jeffrey Nichols , John Canny

We present a literature survey on non-interactive computational story generation. The article starts with the presentation of requirements for creative systems, three types of models of creativity (computational, socio-cultural, and…

Computation and Language · Computer Science 2021-10-22 Luis Miguel Botelho

The importance of innovation in the world's economy, now undeniable, draws great attention to the need to improve organizations' creative potential. In the last 60 years, hundreds of books have been written on the subject and hundreds of…

Computers and Society · Computer Science 2016-11-17 Sophie Morin , Jean-Marc Robert , Liane Gabora

Block-based programming environments such as Scratch are widely used in introductory computing education, yet scalable and reliable automated assessment remains elusive. Scratch programs are highly heterogeneous, event-driven, and visually…

Software Engineering · Computer Science 2026-04-21 Donglin Li , Daming Li , Hanyuan Shi , Jialu Zhang