Artistic practices foreground lived experience, relationality, embodiment, and contextual entanglement as starting points for inquiry and design. By operating in real-world settings, offline or online, collaborations between HCI and the arts offer concrete ways to complement more laboratory-bound studies. They do so by embracing ambiguity, contingency, and affect through productive use of social, cultural, and environmental dynamics, and through modalities more akin to the arts, including installations, performances, critical making, and speculative interventions.

At a moment when AI-driven systems risk further distancing interaction design from human experience, HCI’s crossover with the arts demonstrates how HCI can remain attentive to meaning, power, and responsibility through research situated in real-world settings. This special track calls for papers that explore, demonstrate, or critically reflect on collaborations between HCI and the arts, and their role in grounding current and future interactive technologies in the realities of human—and more-than-human—life.

We are particularly, though not exclusively, interested in work demonstrating how artistic research and creative practice can:

• Critically interrogate questions about meaning, agency, power, and responsibility raised by AI-driven or emerging technologies.
• Develop embodied, performative, or situated methodologies at the intersection of, or with implications for ArtsIT, game creation and interactivity.
• Explore how technological innovation can be grounded in, and informed by lived, embodied, and more-than-human realities.
• Benefit from reciprocal collaborations with HCI that innovate creative practice or emancipate artistic research as alternative form of knowledge production.

We welcome a broad range of contributions, including:

• Practice-based and artistic research with in-depth (methodological) reflection
• Empirical studies of art–HCI crossovers
• Critical and speculative artistic work
• Theoretical and conceptual papers

Submissions should clearly articulate their contribution to the themes described in this call for papers and thematically fit the ArtsIT conference series.

Michel van Dartel, Research Professor of Situated Art, Design and Technology, Avans Centre of Applied Research for Art, Design and Technology (CARADT), Netherlands.

Michel van Dartel holds an MSc in cognitive psychology and a PhD in artificial intelligence, both from Maastricht University, and was affiliated with V2_Lab for the Unstable Media between 2005 and 2024. Alongside his work at CARADT, Van Dartel also acts as an independent curator and freelance advisor to art and design academies, presentation platforms, funding and governmental bodies.

contact: mf.vandartel @avans.nl

Alwin de Rooij, Assistant Professor in Creativity Research, Tilburg University, Netherlands; Associate Professor in Situated Art, Design and Technology, Avans University of Applied Sciences, Netherlands.

Dr. Alwin de Rooij holds a BFA in ArtScience from the Royal Academy of Art, The Hague, an MSc in Media Technology from Leiden University, and a PhD focusing on creativity support tools from City St George’s, University of London. His research investigates how creativity works in art and design, with a particular focus on the role of emerging technologies as both drivers of creative practice and methodological tools for studying it.

contact: [email protected]

Ksenia Fedorova, Leiden University, Netherlands

Ksenia Fedorova is a media and media art researcher, holding PhD in Cultural Studies with Designated Emphasis in Critical Theory (University of California Davis) and Ph.D in Philosophy/Aesthetics (Ural Federal University, St.Petersburg State University, RU). She is the author of Tactics of Interfacing: Encoding Affect in Art and Technology (MIT Press, 2020) and the co-editor of Media: Between Magic and Technology (2014) and a special issue of Artnodes Journal Theorising Media Art in Light of STS (co-edited with Silvia Casini, 2025). Prior to joining Leiden University in 2020 she was an Alexander von Humboldt postdoctoral research fellow at the Institute for Art and Visual History at Humboldt University.

contact: [email protected]

Clareese Hill,  Northeastern University, USA

Clareese Hill is an Assistant Professor of XR and Immersive Technologies at Northeastern University in the Art + Design Department, where she combines her background in art and research to explore the concept of identity, particularly from the perspective of an Afro-Caribbean American woman. Clareese’s research spans interdisciplinary methodologies by utilizing emerging technologies to delve into the validity of the concept of identity. Her work extends beyond traditional academic boundaries, as evidenced by her lectures and presentations at various conferences and spaces in New York, England, Finland, Sweden, Australia, Ireland, and Portugal. Additionally, Clareese contributes to the academic discourse through experimental essays on Black and Caribbean themes, published in internationally peer-reviewed journals. She holds an MFA from the School of the Art Institute of Chicago and a practice-based research Ph.D. from Goldsmiths.

contact: [email protected]

Conference Proceedings

All accepted and registered papers will be submitted for publishing by Springer – LNICST series and made available through SpringerLink Digital Library: ArtsIT Conference Proceedings. This series is indexed in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, IO-Port, MatchSciNet, Inspec and Zentralblatt MATH.

Available Journals

All accepted authors are eligible to submit an extended version in a fast track of:

• EAI Endorsed Transactions on Creative Technologies
• EAI Endorsed Transactions on Broadcasting Technologies

Authors have the opportunity to publish their articles in the EAI Endorsed Transactions journal selected by the conference (Scopus, Ei-indexed, ESCI-WoS, Compendex) by paying an additional $250, discounted from the standard $400 rate for conference authors.

The article’s publication is subject to the following requirements:  

• It must be an extended version of the conference paper with a different title and abstract. In general, 30% of new content must be added.
• The article will be processed once the conference proceedings have been published.
• The article will be processed using the fast-track option.
• Once the conference proceedings are published, the corresponding author should contact us at [email protected] with the details of their article to begin processing.

Additional publication opportunities

• EAI Transactions series (Open Access)
• EAI/Springer Innovations in Communications and Computing Book Series
  (titles in this series are indexed in Ei Compendex, Web of Science & Scopus)

EAI is an open community dedicated to creating an environment where every member receives the same opportunities, benefits and opportunities to develop and grow their research mission and career. As the largest free professional research society in the world EAI offers a complete range of conference proceedings publication opportunities. Based on the qualification of the conference and the conference scope EAI provides the possibility to publish the proceedings for every sponsored conference. Consistent with its mission to support developing communities all EAI sponsored conferences appear in EUDL, the European Union Digital Library (EUDL). EUDL is Open Access and free for EAI members reaching a community of 250,000 subscribers and providing the visibility that allows the conference organizers to develop the conference into a fully fledged indexed proceedings publication in subsequent years.

Papers should be submitted through the EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section).

• Full/ Regular papers should be 12-20 pages in length. (Excluding appendices, references, appreciation, etc.)
• Short papers should be 6-11 pages in length. (Excluding appendices, references, appreciation, etc.)

*Please note that additional pages will be subject to an extra charge for each extra page uploaded.

All conference papers undergo a thorough peer review process prior to the final decision and publication. This process is facilitated by experts in the Technical Program Committee during a dedicated conference period. Standard peer review is enhanced by EAI Community Review which allows EAI members to bid to review specific papers. All review assignments are ultimately decided by the responsible Technical Program Committee Members while the Technical Program Committee Chair is responsible for the final acceptance selection. You can learn more about Community Review here

1. Go to Confy+ website.
2. Log in or sign up as a new user.
3. Select your desired track.
4. Click the ‘Submit Paper’ link within the track and follow the instructions.

• All papers must be submitted in English. 

• Submitted PDFs should be anonymized.

• Double-blind review process.

• Previously published work cannot be submitted, nor can it be concurrently submitted to any other conference or journal. These papers will be rejected without review. 
• Papers must follow the Springer formatting guidelines (available in the Author’s Kit section). 
• Authors must read and agree to the Publication Ethics and Malpractice Statement.

• Submission closes at 23:59 UTC (Coordinated Universal Time) on the day of the Submission Deadline.

• As per new EU accessibility requirements, going forward, all figures, illustrations, tables, and images should have descriptive text accompanying them. Please refer to the document below, which will assist you in crafting Alternative Text (Alt Text)

HOW TO WRITE GOOD ALT TEXT

For full information, click HERE.

AI Authorship Policy

Large Language Models (LLMs), such as ChatGPT, do not currently satisfy our authorship criteria. Notably an attribution of authorship carries with it accountability for the work, which cannot be effectively applied to LLMs. We thus ask that the use of an LLM be properly documented in the Acknowledgements, or in the Introduction or Preface of the manuscript.

The use of an LLM (or other AI-tool) for “AI assisted copy editing” purposes does not need to be declared. In this context, we define the term “AI assisted copy editing” as AI-assisted improvements to human-generated texts for readability and style, and to ensure that the texts are free of errors in grammar, spelling, punctuation and tone. These AI-assisted improvements may include wording and formatting changes to the texts, but do not include generative editorial work and autonomous content creation. In all cases, there must be human accountability for the final version of the text and agreement from the authors that the edits reflect their original work. This reflects a similar stance taken on the AI generative figures policy, where it was acknowledged that there are cases where AI can be used to generate a figure without being concerned about copyright e.g. to generate a graph based on data provided by the author. 

AI Authorship Guidance

Authors should familiarise themselves with the current known risks of using AI models before using them in their manuscript. AI models have been known to plagiarise content and to create false content. As such, authors should carry out due diligence to ensure that any AI-generated content in their book is correct, appropriately referenced, and follow the standards as laid out in our Book Authors’ Code of Conduct.

AI-generated Images Policy

The fast-moving area of generative AI image creation has resulted in novel legal copyright and research integrity issues. As publishers, we strictly follow existing copyright law and best practices regarding publication ethics. While legal issues relating to AI-generated images and videos remain broadly unresolved, Springer Nature journals and books are unable to permit its use for publication.

Exceptions:

• Images/art obtained from agencies that we have contractual relationships with that have created images in a legally acceptable manner.
• Images and videos that are directly referenced in a piece that is specifically about AI and such cases will be reviewed on a case-by-case basis.
• The use of generative AI tools developed with specific sets of underlying scientific data that can be attributed, checked and verified for accuracy, provided that ethics, copyright and terms of use restrictions are adhered to.

Papers must be formatted using the Springer LNICST Authors’ Kit.

Instructions and templates are available from Springer’s LNICST homepage:

• LaTeX2e Proceedings Templates (zip)
• Microsoft Word Proceedings Templates (zip)

Please make sure that your paper adheres to the format as specified in the instructions and templates.

When uploading the camera-ready copy of your paper, please be sure to upload both:

• a PDF copy of your paper formatted according to the above templates, and
• an archive in .ZIP file, containing LaTeX or Word source material prepared according to the above guidelines.