Generative AI and large language models (LLMs) are rapidly transforming assistive technologies—enabling new forms of communication, autonomy, and accessibility. However, research in this space remains fragmented across AI, HCI, healthcare, and disability studies. GenAssist 2026 aims to bring this emerging community together. We invite researchers, practitioners, clinicians, and disability advocates to share early-stage ideas, systems, and real-world experiences at the intersection of generative AI and assistive technology.

We welcome exploratory work and interdisciplinary contributions. We especially encourage submissions from:

Students and early-career researchers
Industry practitioners and clinicians
Researchers working in adjacent areas (LLMs, robotics, HCI, etc.)


Workshop Focus

This workshop emphasizes:

Real-world assistive applications of generative AI
Human-centered and inclusive design
Responsible deployment (safety, privacy, trust)
Cross-disciplinary collaboration

The goal is to foster discussion, identify key challenges, and shape a shared research agenda.


List of Topics
Topics of interest include, but are not limited to:

AI Methods & Systems
Adapting LLMs for disability-specific needs
Retrieval-Augmented Generation (RAG) for assistive systems
Prompt design for controllability and accessibility
Real-time and low-latency assistive AI
Multimodal & Embodied AI
Vision-language and audio-language models for accessibility
robotics and embodied AI systems
Multimodal interaction and feedback design
Applications
Cognitive assistance and memory support
Visual assistance for blind and low-vision users
Communication support (AAC, writing, speech, captioning)
Evaluation & Human Factors
Studies with disabled users, clinicians, and caregivers
Measuring usability, trust, and long-term impact
Co-design and participatory methods
Ethics, Safety & Equity
Privacy-preserving assistive AI
Mitigating hallucinations and overreliance
Fairness across languages and communities
Ethical and legal considerations

Why Participate?

Connect with researchers across AI, HCI, healthcare, and accessibility
Share early ideas and get feedback
Contribute to shaping a new research direction
Explore opportunities for collaboration

If your work touches AI and accessibility—even partially—we encourage you to submit.