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Creative ideation relies on exploring diverse stimuli, but the overwhelming abundance of information often makes it difficult to identify valuable insights or reach the `aha' moment. Traditional methods for accessing design stimuli lack…

Human-Computer Interaction · Computer Science 2025-04-23 Yaqing Yang , Vikram Mohanty , Nikolas Martelaro , Aniket Kittur , Yan-Ying Chen , Matthew K. Hong

Current artificial intelligence (AI) technology is mainly used in rational work such as computation and logical analysis. How to make the machine as aesthetic and creative as humans has gradually gained attention. This paper presents a…

Human-Computer Interaction · Computer Science 2019-06-06 Min Chen , Yingying Jiang , Yong Cao , Albert Y. Zomaya

This paper explores the integration of generative AI into the field of art therapy. Leveraging proven text-to-image models, we introduce a novel technical design to complement art therapy. The resulting AI-based tools shall enable patients…

Artificial Intelligence · Computer Science 2024-12-05 Yannis Valentin Schmutz , Tetiana Kravchenko , Souhir Ben Souissi , Mascha Kurpicz-Briki

Advancements in the digital technologies have enabled researchers to develop a variety of Computational Music applications. Such applications are required to capture, process, and generate data related to music. Therefore, it is important…

Sound · Computer Science 2021-04-27 SeyyedPooya HekmatiAthar , Mohd Anwar

Music creation is typically composed of two parts: composing the musical score, and then performing the score with instruments to make sounds. While recent work has made much progress in automatic music generation in the symbolic domain,…

Sound · Computer Science 2018-11-13 Bryan Wang , Yi-Hsuan Yang

AI is now embedded in healthcare, finance, policy, and many other domains, yet genuine human-AI synergy - combined performance that exceeds what either party achieves alone - is uncommon. Meta-analyses show that AI assistance tends to…

Human-Computer Interaction · Computer Science 2026-05-22 Tommaso Turchi , Ben Wilson , Matt Roach , Alan Dix , Alessio Malizia

Musical performance requires prediction to operate instruments, to perform in groups and to improvise. In this paper, we investigate how a number of digital musical instruments (DMIs), including two of our own, have applied predictive…

Sound · Computer Science 2018-12-21 Charles P. Martin , Kai Olav Ellefsen , Jim Torresen

Artificial intelligence (AI) has the potential to revolutionize the drug discovery process, offering improved efficiency, accuracy, and speed. However, the successful application of AI is dependent on the availability of high-quality data,…

This study deals with content-based musical playlists generation focused on Songs and Instrumentals. Automatic playlist generation relies on collaborative filtering and autotagging algorithms. Autotagging can solve the cold start issue and…

Sound · Computer Science 2017-11-23 Yann Bayle , Matthias Robine , Pierre Hanna

While end-to-end lyrics-to-song models offer convenience for casual users, professional songwriters require score-to-song systems that allow them to retain authorship over the core melody. However, existing score-to-song methods are limited…

Many practices have been presented in music generation recently. While stylistic music generation using deep learning techniques has became the main stream, these models still struggle to generate music with high musicality, different…

Sound · Computer Science 2021-05-12 Shuqi Dai , Xichu Ma , Ye Wang , Roger B. Dannenberg

The field of AI-assisted music creation has made significant strides, yet existing systems often struggle to meet the demands of iterative and nuanced music production. These challenges include providing sufficient control over the…

Sound · Computer Science 2024-11-22 Yixiao Zhang

Music comprises of a set of complex simultaneous events organized in time. In this paper we introduce a novel framework that we call Deep Musical Information Dynamics, which combines two parallel streams - a low rate latent representation…

Sound · Computer Science 2021-02-03 Shlomo Dubnov

In the realm of music AI, arranging rich and structured multi-track accompaniments from a simple lead sheet presents significant challenges. Such challenges include maintaining track cohesion, ensuring long-term coherence, and optimizing…

Sound · Computer Science 2024-11-26 Jingwei Zhao , Gus Xia , Ziyu Wang , Ye Wang

Thanks to the Big Data revolution and increasing computing capacities, Artificial Intelligence (AI) has made an impressive revival over the past few years and is now omnipresent in both research and industry. The creative sectors have…

The creation process of design fiction is going participatory and inclusive with non experts. Recognizing the potential of artificial intelligence in creativity support, we explore the use of AI assistance in creating design fiction. This…

Human-Computer Interaction · Computer Science 2022-10-04 Yiying Wu , Yunye Yu , Pengcheng An

Nowadays, technological advances have influenced all human activities, creating new dynamics and ways of communication. In this context, some artists have incorporated these advances in their creative process, giving rise to unique…

Human-Computer Interaction · Computer Science 2021-08-13 Ricardo Andres Diaz Rincon

Artificial Intelligence holds significant potential to enhance human creativity. However, achieving this vision requires a clearer understanding of how such enhancement can be effectively realized. Drawing on a relational and distributed…

Human-Computer Interaction · Computer Science 2025-06-17 Andrea Gaggioli , Sabrina Bartolotta , Andrea Ubaldi , Katusha Gerardini , Eleonora Diletta Sarcinella , Alice Chirico

As online communication continues to expand, participants often face cognitive fatigue and reduced engagement. Cognitive augmentation, which leverages technology to enhance human abilities, offers promising solutions to these challenges. In…

Human-Computer Interaction · Computer Science 2025-03-04 Haruki Suzawa , Ko Watanabe , Andreas Dengel , Shoya Ishimaru

State-of-the-art visual generative AI tools hold immense potential to assist users in the early ideation stages of creative tasks -- offering the ability to generate (rather than search for) novel and unprecedented (instead of existing)…

Computer Vision and Pattern Recognition · Computer Science 2025-09-05 Evans Xu Han , Alice Qian Zhang , Haiyi Zhu , Hong Shen , Paul Pu Liang , Jane Hsieh
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