International Journal of Arts and Technology
- Editor in Chief
- Prof. Athanasios Vasilakos
- ISSN online
- 1754-8861
- ISSN print
- 1754-8853
- 4 issues per year
- CiteScore 2020 0.6

IJART addresses arts and new technologies, highlighting computational art. With evolution of intelligent devices, sensors and ambient intelligent/ubiquitous systems, projects are exploring the design of intelligent artistic artefacts. Ambient intelligence supports the vision that technology becomes invisible, embedded in our natural surroundings, present whenever needed, attuned to all senses, adaptive to users/context and autonomously acting, bringing art to ordinary people, offering artists creative tools to extend the grammar of the traditional arts. Information environments will be the major drivers of culture.
Topics covered include
- New media arts, science and technology
- Interactive/visual theatre, neurobiological base of acting, digital/wearable cinema
- Augmented performance in dance
- Artificial intelligence-based art practice, web art and postmodernism
- Using analysis of artworks in conjunction with AmI to produce novel objects
- Using AmI to promote the creativity of a human user
- Autonomic sensor networks and wearable computers in the performing arts
- Computer vision and optical tracking for music and dance performance
- Cognitive intelligence and natural intelligence for the arts
- Collaborative distributed environments
- Evolutionary art systems that create drawings/images/animations/sculptures/poetry/text
- Evolutionary music systems that create musical pieces/sounds/instruments/voices
- Choreographing media for interactive virtual environments
- New media actors, new media aesthetics
- Social and ethical issues in the arts and technology
Objectives
The objectives of IJART are to address new works, research and performances in the multi-disciplinary emerging area of new technologies and the arts - and to provide a common platform under which this artwork can be published and disseminated. IJART provides a high-quality platform for this purpose.
Readership
IJART provides a vehicle to help professionals, academics, researchers ,artists, museum curators, and graduate students working in the field of arts and technology, to disseminate information and to learn from each other's work.
Contents
IJART publishes original research papers, review papers, artworks, performances, conference reports, book reviews, notes, commentaries, and news. Special Issues devoted to important topics in the arts and new technologies will occasionally be published.
Editor in Chief
- Vasilakos, Athanasios, Lulea University of Technology, Sweden
(th.vasilakosgmail.com)
Managing Editors
- Wan, Jiafu, South China University of Technology, China
- Xia, Zhihua, Nanjing University of Information Science and Technology, China
Editorial Board Members
- Brooks, Tony, Aalborg University, Denmark
- Chen, Min, Seoul National University, South Korea
- Cheok, Adrian David, National University of Singapore, Singapore
- Draisin, Maya, International Academy of Digital Arts & Sciences (IADAS), USA
- El-Nasr, Magy Seif, Simon Fraser University, Canada
- Fisher, Scott S., University of Southern California, Los Angeles, USA
- Fishwick, Paul, University of Florida, USA
- Grau, Oliver, Danube University, Austria
- Gross, Tom, University of Bamberg, Germany
- Hu, Jun, Eindhoven University of Technology, Netherlands
- Inakage, Masa, Keio University, Japan
- Ishii, Hiroshi, MIT Media Laboratory, USA
- Kato, Hirokazu, Nara Institute of Science and Technology, Japan
- Lee, Newton, Institute for Education, Research, and Scholarships, USA
- Maes, Patti, MIT Media Laboratory, USA
- Marranca, Bonnie, PAJ Publications, USA
- Natkin, Stéphane, Conservatoire National des Arts et Métiers, France
- Pan, Zhigeng, Zhejiang University, China
- Pentland, Alex (Sandy), MIT Media Laboratory, USA
- Rokem, Freddie, Tel Aviv University, Israel
- Salem, Ben, Kwansei Gakuin University, Japan
- Sarfraz, Muhammad, Kuwait University, Kuwait
- Selker, Ted, MIT Media Laboratory, USA
- Shu, Lei, Guangdong University of Petrochemical Technology, China
- Vercoe, Barry, MIT Media Laboratory, USA
- Wilson, Stephen, San Francisco State University, USA
- Xiong, Neal Naixue, Colorado Technical University, USA
A few essentials for publishing in this journal
- Submitted articles should not have been previously published or be currently under consideration for publication elsewhere.
- Conference papers may only be submitted if the paper has been completely re-written (more details available here) and the author has cleared any necessary permissions with the copyright owner if it has been previously copyrighted.
- Briefs and research notes are not published in this journal.
- All our articles go through a double-blind review process.
- All authors must declare they have read and agreed to the content of the submitted article. A full statement of our Ethical Guidelines for Authors (PDF) is available.
- There are no charges for publishing with Inderscience, unless you require your article to be Open Access (OA). You can find more information on OA here.
- All articles for this journal must be submitted using our online submissions system.
- View Author guidelines.
Submission process
Journal news
Classifying art in a trice
1 February, 2022
A multiple naive Bayes algorithm can classify artworks by preprocessing and analysing the histogram of the hues in the image with 99.6 percent accuracy according to work published in International Journal of Arts and Technology. Gang Liang of the School of Art and Design at Taizhou University in Taizhou, China, points out that in the digitized world there is a pressing need to find ways to search for specific images but too many classification systems for those images to allow us an efficient and simple way to home in on a particular image [...]
More details...Zen and the art of virtual reality maintenance
10 February, 2022
At the heart of much Buddhist practice is the notion that meeting with other people and practicing together in real life are the most beneficial approaches. However, individually art can be used for mindfulness and meditation. Indeed, paintings and sculptures have helped individuals and in the modern era digital media and technology can offer something to practitioners too. Writing in the International Journal of Arts and Technology, a team from Silpakorn University, Thailand discuss how virtual reality might be a useful and innovative tool in Buddhist teaching. Gomesh Karnchanapayap and Atithep Chaetnalao explain how they have developed what they refer to as a ground-breaking tool by bringing together artworks and virtual reality. They suggest that this approach to teaching enables a multi-level learning experience for students [...]
More details...Video recognition of yoga postures
11 February, 2022
Human activity recognition in a video is a growing area of research for many applications including the detection of criminal activity in closed-circuit television (CCTV) footage, diagnostics of postural and gait problems in healthcare, the identification of individuals from their movement, confirming that social distancing regulations are being observed, and many other areas. Writing in the International Journal of Arts and Technology, a team from India explains how they have used an end-to-end deep learning pipeline that includes a convolutional neural network (CNN) and a bidirectional long short-term memory (LSTM) network to identify yoga-asana [...]
More details...Interactive pop songs
14 February, 2022
Evolving technology has had a massive impact on how we make and experience music. Many of the changes have been driven by musicians themselves in terms of the creative aspects of music-making, but consumers too pushed the music industry in new directions. Of course, while genres wax and wane in terms of popularity, the underlying technology, at least in the popular context, is always looking to find the next big thing, the next more than one-hit-wonder. Writing in the International Journal of Arts and Technology, a team from Taiwan discuss one of the next evolutionary steps in popular music – the "single" with interactive lyrics and composition [...]
More details...Music analysis appreciation
28 February, 2022
Can a computer be used to analyse the mood and genre of different pieces of music and so offer an insight into how influential a piece might be, might it even be used to write the next mournful classical movement, angst-ridden emo rock song, or bouncy, hooky, catchy one-hit wonder? Research International Journal of Arts and Technology from a team in China demonstrates how a directed weighted complex network and statistical methods can be used to carry out an evaluational analysis. Xinyan Ma, Xinyu Zhou, and Tingting Mo of the School of Mathematics and Information Science at Guangxi University in Nanning have used their knowledge of graph theory and cluster analysis in their work. Through this, they can observe trends of musical development among artists and genres [...]
More details...How do you know music was my first love?
29 April, 2022
Software that can correlate musical changes in an audio recording of a song with perceived emotional content would be useful across the music industry, particularly in terms of cataloguing music and developing music recommendation systems for streaming services and sales. The same approach might also have utility in musical composition and music teaching as well as in music-based therapy. Research in the International Journal of Arts and Technology, recognizes that there are numerous limitations in the current software and points the way forward to how such software might be improved [...]
More details...