Submissions (Call for papers)
Important dates
Paper submission: 8 June – 8 October, 2026
Acceptance decision: 20 October, 2026
Camera-ready: 10 November, 2026
Conference dates: 10 December, 2026
No Registration Fees
The organisers of 14th MIDI Conference decided that the conference will be available free of charge for both presenting and non-presenting participants.
Best Paper Award
The organizers decided that this year the Professor Krzysztof Marasek Best Paper Award will be given to two articles selected by the committee (one from the Machine Intelligence category and one from the Digital Interaction category) from among the articles that receive the highest reviews.
How to prepare your paper
The minimum page size for full papers is six pages and the maximum is eight, including references, appendices, acknowledgements and any other materials. Papers over eight pages in length will not be published in the conference proceedings.
Short papers may be submitted between four and six pages, with the same conditions as full-length papers. Short papers exceeding six pages will not be published in the conference proceedings. All accepted authors, regardless of the mode of presentation, are welcome to prepare papers for the conference proceedings.
When preparing your paper please use the following template:
You can find the templates in Word and Latex formats here: Templates in Word and Latex formats
How to submit your papers
All papers for the 14th MIDI Conference should be submitted using the Easy Chair conference system.
All submitted papers will be peer-reviewed by at least two independent referees from the MIDI programme committee. All work should be submitted via the MIDI submission page.
Special session 1
Title: XR for Well-being: Bridging Technology, Psychology, and Art in Therapeutic Immersive Experiences
Session Chairs:
dr Grzegorz Pochwatko (Chair)
Institute of Psychology, Polish Academy of Sciences
dr hab. Łukasz Gawęda, prof. IP PAN (Co-chair)
Institute of Psychology, Polish Academy of Sciences
Maria Nalberczak-Skóra (Co-chair)
Institute of Psychology, Polish Academy of Sciences
Maciej Grzeszczuk (Co-chair)
Polish-Japanese Academy of Information Technology and Institute of Psychology, Polish Academy of Sciences
Session Description & Scope:
As immersive technologies rapidly evolve, their application in clinical psychology, mental health support, and general human well-being becomes increasingly vital. This special session aims to explore the interdisciplinary intersection of Extended Reality (XR/VR/AR), artistic expression, and psychological science. Grounded in the methodology of Interdisciplinary Living Labs, we seek to investigate how the synergy between rigorous scientific research and creative arts can drive the design of impactful, empathetic, and evidence-based therapeutic XR experiences.
We welcome original research papers, case studies, and methodological contributions that focus on the user-centered design, clinical evaluation, and aesthetic dimensions of XR environments developed for therapeutic and well-being purposes.
Topics of Interest include, but are not limited to:
- Interdisciplinary design methodologies for therapeutic XR (including Living Lab approaches).
- The role of art, aesthetics, and creative narrative in well-being and clinical virtual environments.
- Human-Computer Interaction (HCI) and User Experience (UX) design for vulnerable user groups.
- XR applications for stress reduction, emotion regulation, mindfulness, and mental health support.
- Methodologies for the clinical validation and efficacy testing of therapeutic VR/AR.
- Accessibility, ethical considerations, and inclusive design standards in immersive healthcare applications.
Special session 2
Title: Human-Centred Intelligent Campuses
Session Chairs:
dr Jakub Możaryn
Warsaw University of Technology
dr Piotr Pałka
Warsaw University of Technology
Session Description & Scope:
Universities, research campuses, hospitals, public institutions, and urban living labs are increasingly becoming complex cyber-physical environments in which people interact with distributed sensors, intelligent devices, digital services, and AI-based decision-support systems. However, many smart-environment initiatives remain fragmented: sensing infrastructures, spatial data platforms, conversational agents, user-facing applications, and organisational processes are often developed independently.
This special session focuses on the design, integration, evaluation, and responsible deployment of human-centred intelligent campuses and institutional living labs. Its central theme is the transition from isolated smart technologies to integrated environments that can sense physical and social conditions, interpret multimodal data, support communication with users, and enable informed human action. Such environments can also support evidence-based design by using IoT, spatial, and user-generated data to reveal patterns of space use, environmental conditions, and user preferences relevant to planning and design decisions.
The session welcomes contributions concerning IoT and edge-intelligence infrastructures, multimodal and spatial data analytics, computer vision, generative AI and conversational interfaces, intelligent service systems, digital twins, accessibility, safety, privacy, trust, user acceptance, and data-informed and evidence-based approaches to spatial design and management. Particular attention will be given to solutions developed or evaluated in real organisational and spatial environments, including university campuses, smart buildings, hospitals, public institutions, science parks, and urban living labs.
The session aims to bring together researchers and practitioners working on complementary technological, human, organisational, spatial, and regulatory aspects of intelligent environments. It provides a forum for discussing system architectures, integration methods, interaction models, evaluation frameworks, deployment experiences, and lessons learned from both successful and unsuccessful implementations.
Topics of Interest include, but are not limited to:
- Human-centred smart campuses and institutional living labs.
- IoT sensing and edge intelligence in campuses and public environments.
- Integration of sensor, spatial, operational, and user-generated data.
- IoT-based data collection for evidence-based design, including analysis of space-usage patterns, environmental conditions, as well as user needs and preferences to support spatial planning and design decisions.
- Generative AI, conversational agents, and retrieval-augmented generation for institutional services.
- Multimodal interaction with intelligent physical environments.
- Computer vision and intelligent monitoring of shared spaces.
- Spatially aware AI and natural-language localisation of events.
- Intelligent safety systems and human-in-the-loop incident management.
- Smart buildings, intelligent infrastructure, and digital twins.
- Open data platforms, APIs, interoperability, and semantic models.
- User experience, accessibility, universal design, and social acceptance.
- Privacy, cybersecurity, AI safety, trust, and regulatory compliance.
- Organisational integration and sustainable operation of intelligent services.
- Evaluation methods and performance indicators for real-world pilots.
- Teaching and research based on smart-campus infrastructures.