๐ข Call for Papers โ Special Thematic Session (STS) at ICCHP 2026
International Conference on Computers Helping People with Special Needs 2026
July 13 - 17, 2026
Masaryk University Brno, Czech Republicย ย
ย ย
Generative AI (GenAI) is rapidly reshaping how people interact with technology. While its inclusive potential is often highlighted, cognitive accessibility remains largely underexplored. This STS aims to bring together researchers and practitioners working at the intersection of Generative AI, HumanโComputer Interaction, and cognitive accessibility.
๐ Topics of interest include (but are not limited to):
- Accessible, usable, and understandable Generative AI interaction for people with cognitive impairments
- Plain Language and Easy-to-Read content generation, adaptation, and evaluation using Large Language Models (LLMs)
- Human-in-the-loop approaches, participatory design, and co-creation methods for GenAI accessibility
- Intelligent User Interfaces (IUI) for cognitive accessibility, including adaptive interfaces, personalization, and assistive interaction
- Multimodal GenAI for cognitive accessibility: textโimageโaudio interaction, pictograms, visual supports, and alternative representations
- Cognitive load reduction in GenAI systems: UX patterns, explainability, transparency, trust, and user control
- Accessible and inclusive communication, including user-oriented language and caregiver support
- Evaluation protocols, datasets, and methodologies with target users, including qualitative, quantitative, and mixed-methods approaches
- Ethics, risk assessment, bias, and safeguards in GenAI systems for cognitive accessibility and vulnerable populations
- Datasets, benchmarks, and metrics for evaluating readability, fluency, user preferences, and multilingual considerations
๐๏ธ Important dates (https://icchp.org/submission-26/):
โข Extended Abstract (3โ5 pages): February 9, 2026
โข Notification of Acceptance: March 23, 2026
โข Final Camera-Ready Paper (6โ8 pages, LNCS format): April 16, 2026
We warmly invite research papers, case studies, design proposals, and empirical work.
Paloma Martรญnez
Full professor
Computer Science Department
Universidad Carlos III de Madrid
@Grupo_HULAT